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In-person sessions
Plan your Team ’26 experience in Anaheim
Browse the full session catalog and find exactly what interests you. To view your saved sessions and manage reservations, sign in to your account and navigate to My schedule.
Note: a reservation is required for learning sessions.
These popular sessions have limited capacity and require advance reservation. Reserve your seat early!
Getting started with Forge
Bree Hall (Atlassian), Lars Klint (Atlassian)
Make sense of the chaos: Turning strategy into action
Amanda Babb (Atlassian), Keith Renison (Atlassian), Richard Sparks (Atlassian)
What's different in Jira Cloud vs. Data Center?
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Jovana Dunisijevic (Atlassian), Lazar Deretic (Atlassian)
AI for admins: Stay ahead on cloud releases
Adam Gordier (Atlassian), Claire Upham (Atlassian)
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Justin Maguire (Atlassian), Marcus Asmar (Atlassian)
Automate work in Jira
Rob Hean (Hean.tech)
Agentic kudos: Empowering teams with Rovo and Forge
Plan and track work with Teamwork Collection
AI for admins: Stay ahead on cloud releases
Adam Gordier (Atlassian), Claire Upham (Atlassian)
Visualize work across teams with Plans in Jira
Rob Hean (Hean.tech)
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Jovana Dunisijevic (Atlassian), Lazar Deretic (Atlassian)
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Dustin Smith (Atlassian), Gabby Williams (Atlassian)
Unlocking Assets: Get hands-on with Assets and Data Manager
Silvia Davis (Atlassian Corporation), Vijay C (Gowda) (Atlassian)
Maximize your Team '26 experience
Holly Venable (Atlassian)
Confluence whiteboards: Brainstorm, ideate, and communicate
Rethink collaboration: Make Microsoft Teams part of the Jira workflow
Andreas Schmidt (yasoon)
Secure collaboration for business teams in the AI era
Chelsea Bullock (Atlassian)
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
Make sense of the chaos: Turning strategy into action
Amanda Babb (Atlassian), Keith Renison (Atlassian), Richard Sparks (Atlassian)
Unlocking Assets: Get hands-on with Assets and Data Manager
Silvia Davis (Atlassian Corporation), Vijay C (Gowda) (Atlassian)
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Justin Maguire (Atlassian), Marcus Asmar (Atlassian)
Plan and track work with Teamwork Collection
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Dustin Smith (Atlassian), Gabby Williams (Atlassian)
How SpotOn scaled Rovo across 1,000+ employees
Ryan Boyd (SpotOn)
Assets to action: Agentic workflows that understand your data
Justin King (Atlassian)
Runs on Atlassian meets Amazon Bedrock: Enabling LLMs in Forge apps
Chris Coombs (Amazon Web Services)
Opening Keynote: The new shape of Teamwork - Designing the Human-AI workforce
Emily Chang, Ethan Mollick, Magnus Östberg (Mercedes Benz)
How to convince your boss to get Teamwork Collection
Javier Angel (Atlassian)
Preserving the idea: Lossless design across surfaces
Brett McMillin (Figma)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
The next evolution of strategic portfolio management
Shannon Mason (Tempo)
Where’s the money going – and is it working? Live financial visibility across your strategic initiatives
Alessandro Buzzatti (Atlassian)
A day in the life with Rovo Agents at Cisco
Anabisdally Castro (Cisco)
AI-driven incident prevention with Jira Service Management and Rovo Dev
Prithwish Basu (Atlassian)
Accelerate complex migrations with ScriptRunner and AI
Timothy Threet (ScriptRunner, part of The Adaptavist Group)
Founder Keynote: Human-AI collaboration at scale
Mike Cannon-Brookes (Atlassian), Sherif Mansour (Atlassian), Tamar Yehoshua (Atlassian)
Teamwork Collection keynote: Power the era of human-AI collaboration
Andrew Stillman (Atlassian), Parshuram Limaye (Ford Motor Company), Sanchan Saxena (Atlassian)
How customers operationalize agentic AI with Rovo
Brad Spackman (CHG Healthcare), Matthew Hargreaves (Lendi Group)
From alert noise to action: How 24 Hour Fitness modernized IT Ops with Jira Service Management
Dushyant Sharma (Atlassian), Rick Westbrock (24 Hour Fitness)
Shatter the service quo
Edwin Wong (Atlassian), Molly Bronstein (Atlassian), Shamik Sharma (Atlassian)
Pearson's product-led transformation: Driving organizational change through Jira Product Discovery Roadmaps
Kavita Umdekar (Pearson)
Zillow's blueprint for a system of work that connects teams
Emily Callen (Zillow), Heather Fleming (Zillow Group)
Scaling human-AI collaboration at Rivian with Rovo
Jordan McCombs (Rivian Automotive)
Rovo Dev in Jira - Your dev teammate
Jovana Dunisijevic (Atlassian)
Accelerating cloud transformation at scale: Qualcomm's journey with Atlassian FastShift
Utpal Pandya (Qualcomm)
Accelerated SNOW to JSM Migration: Smarter process, better outcomes
Nick Sommerfeld (Isos Technology)
From siloed tools to a system of work: How LPL Financial orchestrated a full‑stack Atlassian transformation
Beyond IT: How MillerKnoll uses Jira Service Management to transform work
Shelby Corbitt (MillerKnoll)
Unleashing global teamwork: Lessons in the power of AI from Atlassian and Accenture
Kit Friend (Accenture)
Your strategy isn’t broken — your operating model is
Eddie Park (Atlassian)
Extend Jira and Confluence with Forge apps by chatting with Rovo
Caterina Curti (Atlassian)
Building AI‑native teams with Atlassian Rovo
Divya Kumar (Atlassian), Jamil Valliani (Atlassian)
Mercedes-Benz: Turning the Teamwork Graph into an AI advantage
Sanja Samirana Panda (Atlassian), Tobias Langjahr (Mercedes Benz)
Bring the power of AI agents to your Jira workflows
Carol Jang (Atlassian), Matthew Canham (Atlassian)
Data is a team sport: Why enterprise AI wins or loses on shared context
Etai Mizrahi (Atlassian), Tom McMahon (Atlassian)
AI can’t fix broken systems: How Anaplan built a trusted system of work with Atlassian
Natalia Baryshnikova (Atlassian), Vince Butera (Anaplan)
Platform keynote: Close the AI context gap with data you can trust
Narmada Jayasankar (Atlassian), Rae Wang (Atlassian)
Design the future of work by building a Jira space teams love
Dmitry Melikov (Atlassian)
Assemble your human-AI customer support dream team with the Customer Service Management app
Dorothea Linneweber (Atlassian)
Inside Atlassian: AI-Native Lessons from HR, Finance, Legal and Security
Alicia Lenart (Atlassian), David Cross (Atlassian), Gene Liu (Atlassian), Jackie Davis (Atlassian)
Turn customer feedback into better product decisions
Mehdi Boudoukhane (Atlassian)
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
Strategy Collection keynote: Drive strategy with AI insights
Ben Waddle (Expedia Group), Monica Girolami (Atlassian), Vache Moroyan (Atlassian)
Accelerating asset at enterprise scale: How L.L.Bean and Rover drive success with Assets
Chris Jones (L.L.Bean Inc.), Kate Brenden (Rover), MaSonya Scott (Atlassian)
The agentic pivot: Building software in the era of human-AI collaboration
Ming Wu (Atlassian), Tanguy Crusson (Atlassian)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
How marketers get sh*t done with Jira and Trello
Lindsay Russell (Trello)
Don’t migrate blind: How to assess your Data Center environment for cloud success
Mike Hogan (Seibert Solutions US)
Streamline defect management: How Mazda leverages Teamwork Graph to drive out defects
Koji Ibaraki (Mazda Motor Corporation)
From legacy to cloud: SiriusXM’s financial governance
Patrick Savago (Tempo)
AI-assisted engineering: 5 trends we’re seeing from 500+ organizations
Justin Reock (DX)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
From Data Center to cloud: One customer’s blueprint
Kelsey LaMastres (Appfire)
How we prioritize and roadmap at Atlassian
Humans + Rovo Service: The new employee service playbook
Alok Agrawal (Atlassian)
Redefining enterprise scale with Forge and AI
Nachiket Bal (PwC), Namrata Sabnis (PwC)
How Dropbox is designing intentional work in the AI era with Loom
Allison Vendt (Dropbox), Avani Prabhakar (Atlassian)
Loom for leaders: Authentic communication with Loom and AI
Colleen Blake (ServiceRocket), Joe Thomas (Atlassian), Sean Joerg (Reddit Inc.)
High-velocity HR at global scale: How Veralto built a smarter service model
Adeyinka Aladesanmi (Veralto), Gina Lajeunesse (Veralto), Lacy Saute (Adaptavist)
Zero to hero: Building Rovo Agents
Shihab Hamid (Atlassian), Sushant Koshy (Atlassian)
Ship faster, build better: AI-powered developer experience in Bitbucket
Chris Clarke (Atlassian), Raul Gomis (Atlassian)
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
Stryker’s agile journey to success with Teamwork Collection
Michael Roberts (SPK and Associates), Tobias Kuechen (Stryker Corporation)
Technology vision: How technology trends are revolutionizing the way of working
Emmanuel Viale (Accenture)
Lessons from the aisle: Ace Hardware’s journey to enterprise-scale ITSM on Jira Service Management
Greg Guertin (StrataCom Inc), Jeff Nason (Ace Hardware)
Customers leading the AI Rovo-lution
Chance Webb (Atlassian), James Willmore (LVT), Kasia Wakarecy (Pythian), Kate Brenden (Rover), Sue Oliver (L.L.Bean)
Designing for flow: How Atlassian Williams F1 Team is building an AI-led System of Work
Andrew Boyagi (Atlassian), Matt Harman (Atlassian Williams F1 Team)
Building 10x organizations: Modern productivity metrics featuring Dropbox
Justin Reock (DX)
Rovo Dev in Bitbucket: Your review teammate
Jovana Dunisijevic (Atlassian)
After the migration: What actually drives value in Atlassian Cloud
Parth Patel (Cprime Inc), Ted Henry (Cprime)
Extend Jira and Confluence with Forge apps by chatting with Rovo
Caterina Curti (Atlassian)
Atlassian Backup and Restore: Data protection and business continuity in the AI era
lakshmi manasi behl (Atlassian)
Build a customer service AI agent: From zero to hero in 15 minutes
Vincent Wong (Atlassian)
What AI needs from your strategic plan (and isn't getting)
Ingrid Blake (Atlassian), Jake Comito (Atlassian)
Yes, and: How Atlassian Security learned to enable AI — From sandbox to agents
Alan Ross (Atlassian)
How to build a scalable service knowledge base
Samie Delebo (Perforce Gliffy)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
20 teams, one mission: scaling ITSM transformation at UW-Madison SMPH
Lindsay Bolan (University of Wisconsin Madison)
How California’s Department of Health Care Services aligns strategy and delivery with Strategy Collection
Christine Corona (State of California, Department of Health Care Services)
Best practices for designing a secure AI environment
Ashwini Rattihalli (Atlassian), Gaurav Awadhwal (Atlassian), Shivi Verma (Docusign)
Designing for the beautiful mess of modern work
Charlie Sutton (Atlassian), Loredana Crisan
The Future of Confluence: Tools, tricks, and transformations for every type of team
Matt Reiner (K15t)
From strategy to impact: Jira Product Discovery in practice
Brent Johnson (Maple), Suzy Sargsyan (UCLA)
Racing to net zero with Teamwork Collection
Amanda Martins (Atlassian Williams Racing), Jessica Hyman (Atlassian), Stan Shepard (Atlassian)
Jira Plans (Advanced Roadmaps) for project management
Alex Ortiz (Apetech LLC)
Confluence AI power moves: From idea to impact in seconds
Allison Arcos (Atlassian), Emily Ditchfield (Atlassian)
Securing the future of AI collaboration
Rob Bissett (Atlassian)
Rovo agents in action: Accelerating self-service deflection and support productivity
Premanku Chakraborty (Atlassian)
Are you smarter than a Jira admin? – Round 2
Sajit Nair (Culture Commandos Advisory LLP)
Your meetings need a makeover: Learn the frameworks in Confluence, Jira, and Loom
Brittany Soinski (Atlassian), Sasha Rappaport (Atlassian)
Elevating admins: Shape, secure, and transform your system of work
Alok Jain (Atlassian), Ethan Harry (Atlassian)
Beyond the pull request: AI-native code review and incident resolution
Natalija Fuksmane (Atlassian), Ryan Jiang (Atlassian)
Getting started with Forge
Bree Hall (Atlassian), Lars Klint (Atlassian)
Make sense of the chaos: Turning strategy into action
Amanda Babb (Atlassian), Keith Renison (Atlassian), Richard Sparks (Atlassian)
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Justin Maguire (Atlassian), Marcus Asmar (Atlassian)
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Jovana Dunisijevic (Atlassian), Lazar Deretic (Atlassian)
What's different in Jira Cloud vs. Data Center?
AI for admins: Stay ahead on cloud releases
Adam Gordier (Atlassian), Claire Upham (Atlassian)
Automate work in Jira
Rob Hean (Hean.tech)
Agentic kudos: Empowering teams with Rovo and Forge
Plan and track work with Teamwork Collection
Unlocking Assets: Get hands-on with Assets and Data Manager
Silvia Davis (Atlassian Corporation), Vijay C (Gowda) (Atlassian)
AI for admins: Stay ahead on cloud releases
Adam Gordier (Atlassian), Claire Upham (Atlassian)
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Jovana Dunisijevic (Atlassian), Lazar Deretic (Atlassian)
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Dustin Smith (Atlassian), Gabby Williams (Atlassian)
Visualize work across teams with Plans in Jira
Rob Hean (Hean.tech)
Maximize your Team '26 experience
Holly Venable (Atlassian)
Confluence whiteboards: Brainstorm, ideate, and communicate
Rethink collaboration: Make Microsoft Teams part of the Jira workflow
Andreas Schmidt (yasoon)
Secure collaboration for business teams in the AI era
Chelsea Bullock (Atlassian)
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Justin Maguire (Atlassian), Marcus Asmar (Atlassian)
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Dustin Smith (Atlassian), Gabby Williams (Atlassian)
Plan and track work with Teamwork Collection
Unlocking Assets: Get hands-on with Assets and Data Manager
Silvia Davis (Atlassian Corporation), Vijay C (Gowda) (Atlassian)
Make sense of the chaos: Turning strategy into action
Amanda Babb (Atlassian), Keith Renison (Atlassian), Richard Sparks (Atlassian)
Runs on Atlassian meets Amazon Bedrock: Enabling LLMs in Forge apps
Chris Coombs (Amazon Web Services)
How SpotOn scaled Rovo across 1,000+ employees
Ryan Boyd (SpotOn)
Assets to action: Agentic workflows that understand your data
Justin King (Atlassian)
Opening Keynote: The new shape of Teamwork - Designing the Human-AI workforce
Emily Chang, Ethan Mollick, Magnus Östberg (Mercedes Benz)
Preserving the idea: Lossless design across surfaces
Brett McMillin (Figma)
How to convince your boss to get Teamwork Collection
Javier Angel (Atlassian)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
Where’s the money going – and is it working? Live financial visibility across your strategic initiatives
Alessandro Buzzatti (Atlassian)
A day in the life with Rovo Agents at Cisco
Anabisdally Castro (Cisco)
The next evolution of strategic portfolio management
Shannon Mason (Tempo)
AI-driven incident prevention with Jira Service Management and Rovo Dev
Prithwish Basu (Atlassian)
Accelerate complex migrations with ScriptRunner and AI
Timothy Threet (ScriptRunner, part of The Adaptavist Group)
9:00 am
9:00 am
Discover the power of building apps and customizations with Forge, Atlassian’s cloud app development platform! Build an app for your own use, your team, your company, or even be a partner on the Atlassian Marketplace. Join our beginner-friendly session for developers and admins to learn how to create and deploy apps that enhance Atlassian cloud products, including Jira and Confluence. You will also learn to leverage Rovo AI and connecting your own data. Let's get hands-on and build your very first app!
Getting started with Forge
12:30 pm
12:30 pm
Every organization experiences strategy chaos. Even with strong planning practices, strategy can feel abstract and disconnected from execution. Whether you're setting direction or delivering work, understanding how everything connects is critical.
In this interactive workshop, you’ll map priorities, connect goals to execution, and explore Strategy Collection in action – seeing how it helps teams transform scattered efforts into clear, outcome-driven work.
Closed captioning will not be available for this session.
This session is being offered more than once.
Make sense of the chaos: Turning strategy into action
As a tech lead, you play a critical role in keeping your Atlassian platform easy to manage across the organization with confidence and predictability, so you can support your fast-moving teams.
Atlassian Administration unifies your key controls in one place, enabling a platform that adapts to your organization’s guardrails and goals, and accelerates a new, AI-driven way of working.
In this session, you will:
- Learn how core Atlassian Administration capabilities work together to simplify user, product, and policy management.
- Observe live demo configurations so you can see exactly how to apply them in your own organization.
- Practice what you’ve learned in a workshop* where you’ll solve an admin “mission” end‑to‑end with new admin friends.
- Engage in real-time Q&A with our teams.
*This workshop requires no coding or deep technical knowledge.
Closed captioning will not be available for this session.
This session is being offered more than once.
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Ready to go beyond the foundations of Rovo Dev in your terminal? In this 90-minute hands-on learning session, we’ll show you how to use Rovo Dev in your terminal to manage complex repositories without losing context by leveraging Specialized Sub-Agents.
Instead of relying on a single generalist AI, we will move into the terminal to plan a project from scratch and implement a custom expert network. You will learn how to build and configure sub-agents designed for specific roles – handling implementation, security-gating, and automated codebase updates.
We’ll then take it a step further by connecting your CLI experts to the rest of your workflow. You’ll learn how to set up Rovo Dev automation flows in Jira, allowing your specialized agents to trigger code generation or security audits automatically based on Jira issue transitions. This is a hands-on lab for developers who want to master the advanced mechanics of Rovo Dev and ship production-ready code faster through full-stack AI orchestration.
Closed captioning will not be available for this session.
This session is being offered more than once.
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Ease the transition from Data Center to cloud. You'll learn how Jira Cloud can improve your team’s productivity and collaboration, reduce context switching, help you deliver projects faster, and make quick, data-driven decisions.
Closed captioning will not be available for this session.
What's different in Jira Cloud vs. Data Center?
In this hands-on lab, Atlassian admins will build a Rovo Agent to automate cloud release note reviews. You’ll pull weekly cloud release notes, classify changes as Action Required, Breaking, or Informational, and publish a clean Confluence summary – no copy/paste – then wire in Jira and Slack so critical updates become visible, trackable work. Walk away with a reusable pattern you can adapt across your own admin spaces.
Closed captioning will not be available for this session.
This session is being offered more than once.
AI for admins: Stay ahead on cloud releases
Save time by automating manual tasks, cleaning up Jira spaces, enforcing process consistency, and more with Jira Automation. You’ll learn how to build automation rules, with and without Rovo, that reduce the busywork on your team.
Closed captioning will not be available for this session.
Automate work in Jira
1:30 pm
1:30 pm
In this intermediate, hands-on workshop, you’ll use Forge and Rovo to build an autonomous "Reward Orchestrator." Learn to develop an AI Agent that reasons over complex Jira data, analyzing priority and story points, to objectively evaluate team contributions. Leave with the practical skills to deploy custom AI automations that accelerate your engineering culture.
Agentic kudos: Empowering teams with Rovo and Forge
2:15 pm
2:15 pm
Turn ideas into clear, visible, and connected work. You’ll learn how Jira, Confluence, Loom, and Rovo work together to define goals and scope, track work, and communicate ideas so everyone stays aligned from planning through delivery.
Closed captioning will not be available for this session.
This session is being offered more than once.
Plan and track work with Teamwork Collection
Reliable asset data is critical for troubleshooting incidents, accelerating resolution, and assessing change impacts. Beyond governance, assets are essential for compliance and cost optimization.
Service Collection Assets helps you manage the asset lifecycle, maintain reliable data, and deliver superior user experience.
In this hands-on lab, you will learn to:
- Configure integrations, cleanse, and reconcile data
- Create analyses and dashboards
- Import data into the new common data model
Closed captioning will not be available for this session.
This session is being offered more than once.
Unlocking Assets: Get hands-on with Assets and Data Manager
In this hands-on lab, Atlassian admins will build a Rovo Agent to automate cloud release note reviews. You’ll pull weekly cloud release notes, classify changes as Action Required, Breaking, or Informational, and publish a clean Confluence summary – no copy/paste – then wire in Jira and Slack so critical updates become visible, trackable work. Walk away with a reusable pattern you can adapt across your own admin spaces.
Closed captioning will not be available for this session.
This session is being offered more than once.
AI for admins: Stay ahead on cloud releases
Ready to go beyond the foundations of Rovo Dev in your terminal? In this 90-minute hands-on learning session, we’ll show you how to use Rovo Dev in your terminal to manage complex repositories without losing context by leveraging Specialized Sub-Agents.
Instead of relying on a single generalist AI, we will move into the terminal to plan a project from scratch and implement a custom expert network. You will learn how to build and configure sub-agents designed for specific roles – handling implementation, security-gating, and automated codebase updates.
We’ll then take it a step further by connecting your CLI experts to the rest of your workflow. You’ll learn how to set up Rovo Dev automation flows in Jira, allowing your specialized agents to trigger code generation or security audits automatically based on Jira issue transitions. This is a hands-on lab for developers who want to master the advanced mechanics of Rovo Dev and ship production-ready code faster through full-stack AI orchestration.
Closed captioning will not be available for this session.
This session is being offered more than once.
From single agent to expert network: Building Rovo Dev Sub‑Agents in your terminal
Join this hands-on workshop to learn how Create with Rovo can supercharge the way you work in both Confluence and Jira. You’ll practice going from a rough idea to clear, actionable content in minutes – drafting pages, shaping Jira work items, and tightening everything up with AI assists.
We’ll walk through real workflows that span Confluence and Jira and even Loom, turning meeting notes into structured project briefs and epics, transforming epics into well-scoped stories, and generating tailored updates for different stakeholders. Along the way, you’ll see how Rovo helps you keep content consistent, on-voice, and easy to reuse – without getting stuck on a blank screen.
You’ll leave with practical patterns, prompts, and examples you can start using immediately across your own Confluence and Jira spaces.
Key takeaways:
- See how to turn one idea into many outputs (e.g., executive summary, team update, follow-up actions) without starting over each time.
- Learn how to transform long‑form content into a structured plan in seconds.
- Watch how Rovo can even use Loom video recordings to shape outputs from Confluence and Jira.
Closed captioning will not be available for this session.
This session is being offered more than once.
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Maintain a single source of truth for your team’s ongoing work with Plans in Jira. You'll learn how to use data in Jira to accurately determine resources, scope, and launch dates for future projects, plus track dependencies across tasks.
Closed captioning will not be available for this session.
Visualize work across teams with Plans in Jira
3:15 pm
3:15 pm
This session offers an overview of how to maximize your time at Team. Hear advice on everything from navigating the event, networking, and "can't miss" activities. Perfect for those who are new to Team or an Atlassian event.
Maximize your Team '26 experience
3:30 pm
3:30 pm
Spark creativity and alignment with Confluence whiteboards – an easy, visual way for teams to brainstorm, plan, and diagram in one shared space. You'll learn how to create and navigate whiteboards, use powerful features like Rovo, and seamlessly share your ideas.
Closed captioning will not be available for this session.
Confluence whiteboards: Brainstorm, ideate, and communicate
4:00 pm
4:00 pm
Jira tracks work, but the conversations that move it forward happen in Microsoft Teams and Outlook. Updates are shared in channels, decisions are made in chats, and meetings happen in calendars, while the Jira work item captures the final outcome.
In this session, we’ll show how to connect Microsoft 365 collaboration directly to Jira work items, so updates and discussions stay tied to the work automatically.
Key takeaways:
- How to keep collaboration structured by default, so Jira reflects what actually happened
- How structured updates improve handoffs, visibility, and decision traceability
- How the same setup supports both Jira Software and Jira Service Management workflows
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Rethink collaboration: Make Microsoft Teams part of the Jira workflow
AI accelerates teamwork, but for HR, Finance, Legal, and Leadership teams, security is a non-negotiable in every decision about how they approach and manage AI. We’ll dive into the challenges of managing sensitive content, data classification, and compliance as AI becomes foundational to team collaboration.
Get a business-friendly intro to Atlassian’s privacy-first approach to AI, see how Rovo respects permissions, and learn practical patterns for securing AI-powered workflows. Leave with guidance tailored to your business teams for safe, effective adoption.
Key takeaways:
- Understand Atlassian’s privacy and security approach in a non-technical way
- Concrete patterns for AI-powered collaboration across Jira, Confluence, and Loom, including access controls, templates, and governance practices
- Practical guidance for HR, Finance, Legal, and Leadership teams so they can safely adopt AI, reduce risk, and still move work forward faster
Secure collaboration for business teams in the AI era
In this hands-on session, you’ll learn the basics about Rovo. Guided by practical exercises, you’ll start by creating your own AI agent, then enhance its capabilities through expert prompt writing and build a simple agentic workflow.
This workshop is ideal for beginners and intermediate users looking to gain real-world experience with Rovo AI agents. No prior experience with Rovo is required. By the end, you’ll have built and automated a working AI agent to help your team boost productivity and consistency in your Jira projects.
This session is being offered more than once.
Get to know Rovo: Build your first agent
As a tech lead, you play a critical role in keeping your Atlassian platform easy to manage across the organization with confidence and predictability, so you can support your fast-moving teams.
Atlassian Administration unifies your key controls in one place, enabling a platform that adapts to your organization’s guardrails and goals, and accelerates a new, AI-driven way of working.
In this session, you will:
- Learn how core Atlassian Administration capabilities work together to simplify user, product, and policy management.
- Observe live demo configurations so you can see exactly how to apply them in your own organization.
- Practice what you’ve learned in a workshop* where you’ll solve an admin “mission” end‑to‑end with new admin friends.
- Engage in real-time Q&A with our teams.
*This workshop requires no coding or deep technical knowledge.
Closed captioning will not be available for this session.
This session is being offered more than once.
Mission possible, from one control center: Atlassian administrator's playbook for today's era
Join this hands-on workshop to learn how Create with Rovo can supercharge the way you work in both Confluence and Jira. You’ll practice going from a rough idea to clear, actionable content in minutes – drafting pages, shaping Jira work items, and tightening everything up with AI assists.
We’ll walk through real workflows that span Confluence and Jira and even Loom, turning meeting notes into structured project briefs and epics, transforming epics into well-scoped stories, and generating tailored updates for different stakeholders. Along the way, you’ll see how Rovo helps you keep content consistent, on-voice, and easy to reuse – without getting stuck on a blank screen.
You’ll leave with practical patterns, prompts, and examples you can start using immediately across your own Confluence and Jira spaces.
Key takeaways:
- See how to turn one idea into many outputs (e.g., executive summary, team update, follow-up actions) without starting over each time.
- Learn how to transform long‑form content into a structured plan in seconds.
- Watch how Rovo can even use Loom video recordings to shape outputs from Confluence and Jira.
Closed captioning will not be available for this session.
This session is being offered more than once.
Create with Rovo in Confluence and Jira: From blank screen to aligned team
Turn ideas into clear, visible, and connected work. You’ll learn how Jira, Confluence, Loom, and Rovo work together to define goals and scope, track work, and communicate ideas so everyone stays aligned from planning through delivery.
Closed captioning will not be available for this session.
This session is being offered more than once.
Plan and track work with Teamwork Collection
Reliable asset data is critical for troubleshooting incidents, accelerating resolution, and assessing change impacts. Beyond governance, assets are essential for compliance and cost optimization.
Service Collection Assets helps you manage the asset lifecycle, maintain reliable data, and deliver superior user experience.
In this hands-on lab, you will learn to:
- Configure integrations, cleanse, and reconcile data
- Create analyses and dashboards
- Import data into the new common data model
Closed captioning will not be available for this session.
This session is being offered more than once.
Unlocking Assets: Get hands-on with Assets and Data Manager
Every organization experiences strategy chaos. Even with strong planning practices, strategy can feel abstract and disconnected from execution. Whether you're setting direction or delivering work, understanding how everything connects is critical.
In this interactive workshop, you’ll map priorities, connect goals to execution, and explore Strategy Collection in action – seeing how it helps teams transform scattered efforts into clear, outcome-driven work.
Closed captioning will not be available for this session.
This session is being offered more than once.
Make sense of the chaos: Turning strategy into action
4:30 pm
4:30 pm
Atlassian Forge enables developers to build AI-powered apps with direct access to large language models (LLMs) through Amazon Bedrock. In this session, we'll take an in-depth look at how this integration works and what it means for developers building Runs on Atlassian apps.
Amazon Bedrock is AWS's fully managed service that provides access to high-performing foundation models from leading AI companies through a single API, with comprehensive data protection and privacy capabilities. We'll dive into how Forge's LLM API provides secure, managed access to these foundation models without requiring AWS credentials or infrastructure management.
Whether you're building your first AI-powered Forge app or exploring how managed AI services can accelerate development, you'll gain the technical insights and practical knowledge to leverage foundation models from Forge.
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Runs on Atlassian meets Amazon Bedrock: Enabling LLMs in Forge apps
In less than two quarters, SpotOn built an adoption flywheel, champions, automations, impact, and expansion to scale Atlassian Rovo across 1,000+ employees in Sales, R&D, Operations, and IT. Hear how SpotOn moved from early prototypes that automated Jira intake and knowledge summarization to a full enablement program with measurable productivity gains tied directly to their business impact. We will share the lessons learned, outcomes delivered, and the impact Rovo is driving across the business.
Key takeaways
- Learn how to structure an AI adoption flywheel to drive rapid scale
- See real-world AI workflows that deliver measurable efficiency
- Understand how to connect Rovo usage metrics to business outcomes
How SpotOn scaled Rovo across 1,000+ employees
Your Assets data captures the unique domain of your business – people, services, systems, and more. In this session, learn how to use that data and Rovo Studio together to build smarter agents that understand and act on your organization’s objects. See how these agents can simplify and power flexible workflows and automations that help your teams move faster.
Key takeaways:
- Discover how to create custom Rovo agents that understand and act on your unique Assets data.
- Explore examples of how these agents can boost your team’s productivity and simplify complex workflows and automations.
Assets to action: Agentic workflows that understand your data
5:30 pm
5:30 pm
The agents have entered the building.
The human–AI workforce is no longer a thought experiment—it’s here. But getting real results isn't instantaneous. Some teams are seeing real gains. Others are discovering that the digital agents that looked great in the demo are stumped by the hard reality of an organization that was not designed for them.
In our opening keynote, Wharton professor and leading AI researcher Ethan Mollick, Magnus Östberg, Chief Software Officer at Mercedes‑Benz AG, and Emily Chang, award‑winning tech journalist and television host, explore what’s working now, what’s not, and how successful teams will build with AI toward long-term advantage.
We'll map what it takes to move an enterprise from AI novice to AI native and dig into the messy reality of humans and agents learning to work as a team. Because the question for leaders is no longer whether AI will reshape work. It’s whether your organization is ready for unlimited agents that continuously generate ideas, but still depend on you to shape how teamwork works.
Opening Keynote: The new shape of Teamwork - Designing the Human-AI workforce
6:30 pm
6:30 pm
AI has made every role on the product team faster—but speed alone hasn’t solved the harder problem of deciding what to build. When PMs, designers, and engineers each use disconnected AI tools, teams generate more output but less shared direction, leading to fragmentation and rework. In this talk, we'll explore how to preserve idea intent across surfaces, tools, and roles so teams don’t just move faster, but move together.
Key takeaways:
- Why AI-driven speed is increasing fragmentation—and how disconnected tools create more output but less alignment across PMs, designers, and engineers
- Why there’s no single starting point anymore—ideas can begin in a PRD, a Jira ticket, a prompt in Claude Code, or on the Figma canvas, and every context switch risks losing intent
- How to use Figma Make to go from a prompt or PRD to an interactive prototype built on your design system, then bring it onto the canvas to explore alternate paths and align on what to build
- How to make Connectors for Jira and Confluence keep product thinking and execution in sync, so context travels with the work instead of getting lost across tools
- How Figma MCP creates a live connection between code and design—bringing real UI code into Figma as editable layers and sending structured design context (components, tokens, variables) directly into engineering workflows
- Why round-tripping between design and code is critical to maintaining intent as ideas evolve into production
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Preserving the idea: Lossless design across surfaces
Convincing your organization to standardize on a new way of working can feel like an uphill battle, especially when every team already has its favorite tools. But what if you had a clear, repeatable playbook to win over even the toughest skeptics?
We’ll introduce the SMART framework for how to internally sell Teamwork Collection across your company, whether you’re trying to gain executive buy-in, secure budget approval, or drive adoption among business teams. You’ll leave with practical language and examples to help your team adopt Teamwork Collection as the platform for AI-powered collaboration across Jira, Confluence, and Loom.
Key takeaways:
- A SMART framework for selling Teamwork Collection internally, from executive sponsorship and budget approval to broad team adoption
- Ready-to-use language, stories, and visuals to reframe objections like “we already have too many tools” into a compelling platform vision
- Concrete, successful plays so Teamwork Collection becomes the default way your org plans, communicates, and delivers work
How to convince your boss to get Teamwork Collection
You’ve built your first Rovo agents—now it’s time to make them really work for you. In this session, we’ll dive into scenario design, testing reliability with evaluations, making workflows truly agentic, and using advanced automation to connect Rovo with your tools and processes.
This workshop is designed for participants with foundational agent-building experience who are ready to go deeper and operationalize agents in real-world environments.
This session is being offered more than once.
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
7:00 pm
7:00 pm
Companies invest in strategic initiatives but lack visibility into both sides of the equation: what they’re spending on, and what they’re getting in return. Costs are scattered across systems, benefits live in assumptions, and neither connects to the actual work being delivered.
Funds in Strategy Collection closes that gap: forecast labor and non-labor costs, assign budgets, track actuals against your baseline, and plan and measure benefits alongside costs, all connected to real work in Jira. With Rovo AI surfacing financial insights, leaders get the full picture – cost, benefit, and ROI – live and connected to the work, not stale in a spreadsheet. See it live in this session.
Where’s the money going – and is it working? Live financial visibility across your strategic initiatives
What does work look like when Rovo agents and automation support every step of delivery? In this “day in the life” session, follow a business request from intake through planning, development, and delivery. See how Rovo agents improve requirement quality, assist with work breakdown, and keep teams aligned with intelligent automation.
From business users to project managers and developers, learn how AI-driven workflows streamline collaboration, tracking, and decision-making – helping teams move faster while staying focused on what matters most.
Key takeaways:
- See how Rovo agents support collaboration across roles and teams.
- Understand the end-to-end impact of agents and automation across delivery.
- Learn practical patterns for intelligent work breakdown, tracking, and communication.
A day in the life with Rovo Agents at Cisco
Strategic portfolio management is evolving as organizations adopt hybrid, agentic workforces and execute work across an expanding set of execution platforms, including Jira. Portfolio managers spend hours in status meetings just to understand what’s happening across the portfolio. The planning struggle is real.
In this live demo, we introduce Loop, Tempo’s vision for the next evolution of SPM. Loop connects signals from systems of work and continuously evaluates whether initiatives remain aligned with strategy.
You’ll see how teams can surface portfolio risks earlier, explore what-if scenarios to test plan changes, and shift from manual reporting and updates to continuous portfolio orchestration—enabling faster, more confident decisions across the organization.
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
The next evolution of strategic portfolio management
7:30 pm
7:30 pm
Prevent major incidents faster with Jira Service Management’s incident prevention, AI-driven change risk assessment, and actionable post-incident reviews.
Learn how Rovo Dev and Jira Service Management work together to uncover hidden risks, block high-risk changes, and turn PIRs directly into developer work and code.
Key takeaways:
- Spot hidden technical, operational, compliance, and business risks before they trigger incidents
- Use Jira Service Management Prevention Center to automatically assess change risk and block unsafe changes
- Make post-incident reviews instantly actionable by converting them into Jira issues and real code via Rovo Dev
AI-driven incident prevention with Jira Service Management and Rovo Dev
If you've been putting off your complex ScriptRunner for Jira migration, the ScriptRunner Migration Suite was created with you in mind. It includes three purpose-built tools that speed up and simplify every stage of your ScriptRunner for Jira migration journey, from assessing Cloud-readiness and converting DC scripts to Cloud, to automatically deploying scripts and getting on-demand answers to your toughest migration questions.
In this session, we'll run through how these tools handle the heavy lifting, saving you hours of manual work when combined with the right expertise. Don't have in-house expertise? That's fine too – we'll share how Adaptavist consultants use the ScriptRunner Migration Suite as part of FastShift Complete to transform the way your teams work.
Key takeaways:
- Discover the three tools that do the heavy lifting for your ScriptRunner migration
- Watch scripts convert from Jira DC to Cloud in seconds using the AI-powered Migration Agent, custom-built to analyze, convert, and optimize ScriptRunner scripts for the Cloud
- Get practical tips and a live demo, so you know exactly how to get started
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Accelerate complex migrations with ScriptRunner and AI
Founder Keynote: Human-AI collaboration at scale
Mike Cannon-Brookes (Atlassian), Sherif Mansour (Atlassian), Tamar Yehoshua (Atlassian)
Teamwork Collection keynote: Power the era of human-AI collaboration
Andrew Stillman (Atlassian), Parshuram Limaye (Ford Motor Company), Sanchan Saxena (Atlassian)
From alert noise to action: How 24 Hour Fitness modernized IT Ops with Jira Service Management
Dushyant Sharma (Atlassian), Rick Westbrock (24 Hour Fitness)
How customers operationalize agentic AI with Rovo
Brad Spackman (CHG Healthcare), Matthew Hargreaves (Lendi Group)
Shatter the service quo
Edwin Wong (Atlassian), Molly Bronstein (Atlassian), Shamik Sharma (Atlassian)
Scaling human-AI collaboration at Rivian with Rovo
Jordan McCombs (Rivian Automotive)
Pearson's product-led transformation: Driving organizational change through Jira Product Discovery Roadmaps
Kavita Umdekar (Pearson)
Zillow's blueprint for a system of work that connects teams
Emily Callen (Zillow), Heather Fleming (Zillow Group)
Rovo Dev in Jira - Your dev teammate
Jovana Dunisijevic (Atlassian)
Accelerating cloud transformation at scale: Qualcomm's journey with Atlassian FastShift
Utpal Pandya (Qualcomm)
Accelerated SNOW to JSM Migration: Smarter process, better outcomes
Nick Sommerfeld (Isos Technology)
From siloed tools to a system of work: How LPL Financial orchestrated a full‑stack Atlassian transformation
Your strategy isn’t broken — your operating model is
Eddie Park (Atlassian)
Beyond IT: How MillerKnoll uses Jira Service Management to transform work
Shelby Corbitt (MillerKnoll)
Unleashing global teamwork: Lessons in the power of AI from Atlassian and Accenture
Kit Friend (Accenture)
Extend Jira and Confluence with Forge apps by chatting with Rovo
Caterina Curti (Atlassian)
Building AI‑native teams with Atlassian Rovo
Divya Kumar (Atlassian), Jamil Valliani (Atlassian)
Mercedes-Benz: Turning the Teamwork Graph into an AI advantage
Sanja Samirana Panda (Atlassian), Tobias Langjahr (Mercedes Benz)
Bring the power of AI agents to your Jira workflows
Carol Jang (Atlassian), Matthew Canham (Atlassian)
AI can’t fix broken systems: How Anaplan built a trusted system of work with Atlassian
Natalia Baryshnikova (Atlassian), Vince Butera (Anaplan)
Data is a team sport: Why enterprise AI wins or loses on shared context
Etai Mizrahi (Atlassian), Tom McMahon (Atlassian)
Platform keynote: Close the AI context gap with data you can trust
Narmada Jayasankar (Atlassian), Rae Wang (Atlassian)
Design the future of work by building a Jira space teams love
Dmitry Melikov (Atlassian)
Assemble your human-AI customer support dream team with the Customer Service Management app
Dorothea Linneweber (Atlassian)
Turn customer feedback into better product decisions
Mehdi Boudoukhane (Atlassian)
Inside Atlassian: AI-Native Lessons from HR, Finance, Legal and Security
Alicia Lenart (Atlassian), David Cross (Atlassian), Gene Liu (Atlassian), Jackie Davis (Atlassian)
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
Strategy Collection keynote: Drive strategy with AI insights
Ben Waddle (Expedia Group), Monica Girolami (Atlassian), Vache Moroyan (Atlassian)
Accelerating asset at enterprise scale: How L.L.Bean and Rover drive success with Assets
Chris Jones (L.L.Bean Inc.), Kate Brenden (Rover), MaSonya Scott (Atlassian)
The agentic pivot: Building software in the era of human-AI collaboration
Ming Wu (Atlassian), Tanguy Crusson (Atlassian)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
Don’t migrate blind: How to assess your Data Center environment for cloud success
Mike Hogan (Seibert Solutions US)
Streamline defect management: How Mazda leverages Teamwork Graph to drive out defects
Koji Ibaraki (Mazda Motor Corporation)
How marketers get sh*t done with Jira and Trello
Lindsay Russell (Trello)
AI-assisted engineering: 5 trends we’re seeing from 500+ organizations
Justin Reock (DX)
From legacy to cloud: SiriusXM’s financial governance
Patrick Savago (Tempo)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
From Data Center to cloud: One customer’s blueprint
Kelsey LaMastres (Appfire)
Humans + Rovo Service: The new employee service playbook
Alok Agrawal (Atlassian)
How we prioritize and roadmap at Atlassian
9:00 am
9:00 am
It’s time to reimagine teamwork for the AI era. Join Atlassian leaders to hear how human-AI teams collaborating in one system of work will propel your entire organization forward.
Founder Keynote: Human-AI collaboration at scale
10:45 am
10:45 am
As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale.
Key takeaways:
- See new AI capabilities in Jira, Confluence and Loom in action – surfacing context, reducing friction, and accelerating outcomes, whether for cross-team initiatives or everyday project work.
- Master the human-AI workflows that reduce coordination tax and ensure your teams – and agents – are driving outcomes, not just adding noise.
- Explore how leading customers are using Teamwork Collection to operationalize AI, turning fragmented work into competitive advantage.
Teamwork Collection keynote: Power the era of human-AI collaboration
Modern IT teams are overwhelmed by alert noise, fragmented tools, and constant pressure to resolve incidents faster. In this session, you’ll see how Jira Service Management, integrated with Rovo and third-party observability partners like New Relic and Dynatrace, streamlines incident response by auto-enriching incidents with telemetry, AI recommendations, and Teamwork Graph context – so teams can investigate and resolve issues without tool-switching. We’ll also highlight 24 Hour Fitness’s IT operations story and how they use Jira Service Management to cut alert noise, speed up resolution, and improve post-incident learning. Join this session to learn concrete best practices for accelerating incident resolution through AIOps and integrated, third-party observability data.
Key takeaways:
- Practical ways to cut alert noise, correlate related issues, and accelerate triage with AI-guided investigation and reduced tool-switching
- How to auto-enrich incidents with real-time telemetry, AI-driven recommendations, and Teamwork Graph context directly in Jira Service Management
- How 24 Hour Fitness is using Jira Service Management and Atlassian’s observability partnership with Dynatrace to accelerate root cause analysis
From alert noise to action: How 24 Hour Fitness modernized IT Ops with Jira Service Management
What happens when enterprises move beyond AI experiments and become an AI-native organization? Join some of the fastest-growing enterprises as they share how agentic AI is becoming part of everyday work for their teams. Hear how they’re using Atlassian Rovo to create autonomous agents that reduce operational overhead, improve data quality, and enable faster, more predictable decision-making while saving teams meaningful time and effort.
Key takeaways:
- See real customer use cases for agentic workflows across Jira, Confluence, and connected tools.
- Learn how teams measure adoption and prove value while keeping humans in the loop.
- Take away practical patterns for scaling agentic AI responsibly and predictably.
How customers operationalize agentic AI with Rovo
11:30 am
11:30 am
AI is transforming how businesses operate and leaders are being held to higher expectations. Service must be unified, intelligent, and resilient across your entire organization, not patched together and slowed down by legacy constraints. Learn how Atlassian’s AI-powered Service Collection, including Jira Service Management, Customer Service Management, Assets, and Rovo, enables teams to meet this moment.
Shatter the service quo
12:00 pm
12:00 pm
What happens when AI agents become a core part of your delivery process? Rivian shares an inside look at how Rovo Agents are transforming the way they work across multiple tools, teams, and workflows – from automated CIO reporting to agents that intelligently format ticket descriptions for clarity so context is always moving forward from one team to another. Discover their "before and after" workflows and learn how to align AI use cases with your company’s OKRs to drive measurable business impact
Key takeaways:
- Learn how Rivian used Atlassian Rovo to create an intelligent layer across teams, tools, and workflows.
- Understand how connecting workflows with shared context can improve efficiency, reduce risk, and strengthen operational consistency.
- Take away practical ideas for using AI to unify fragmented work and help teams move faster.
Scaling human-AI collaboration at Rivian with Rovo
As organizations grow and invest more in digital products and AI, maintaining clarity around priorities, trade-offs, and execution becomes increasingly complex. Even well‑established teams can struggle with fragmented roadmaps, inconsistent visibility, and difficulty connecting strategy to day‑to‑day product decisions.
In this session, Pearson shares how it has been deliberately evolving toward a more product‑first way of working over the past two years. The discussion focuses on how Pearson strengthened its product operating model, improved consistency in product discovery and prioritization, and advanced data‑informed decision‑making.
Using Atlassian’s Jira Product Discovery as an enabling tool, Pearson created clearer connections between strategy, discovery, and delivery at scale.
Attendees will walk away with:
- A practical perspective on moving from fragmented roadmaps to shared, transparent priorities.
- Insight into how structured product discovery supports better decisions without adding unnecessary process.
- An understanding of how operating model clarity, paired with enabling tools, helps teams collaborate more effectively and deliver more coherent products over time.
Pearson's product-led transformation: Driving organizational change through Jira Product Discovery Roadmaps
At Zillow, “Turn on the Lights” is more than a catchy phrase. It’s a core value about clarity, transparency, and understanding through insight. In this session, you'll learn how Zillow makes strategic work visible across the company by standardizing a custom work item hierarchy that connects Workstreams, Features, and Atlassian Goals into one system of work in Jira.
With Atlassian Goals, Jira Plans, Dashboards, and clear data governance, leaders now see real-time progress at the Feature level and how it maps to company strategy. Visibility extends beyond product, engineering, and design to marketing, sales, and operations through Business Projects, so every partner can track how their work ladders to goals in the same ecosystem. Attendees will leave with a blueprint for creating a single, trusted view of progress across teams and the practices that keep it clear and reliable.
Key takeaways:
- Build a clear, connected hierarchy that links strategy to execution in Jira
- Show what’s shipping in real time with Plans, Dashboards, and Atlassian Goals
- Extend visibility and trust with lightweight governance and Business Projects
Zillow's blueprint for a system of work that connects teams
See how Rovo Dev can improve your day to day workflow right inside Jira. We'll walk through scenarios where you:
- Break down brainstorming notes into epics and linked issues directly to Jira, keeping backlogs organised
- Generate and manage tickets in bulk with Rovo Dev
- Pull in rich context from Loom transcripts, image attachments, and linked documents so Rovo Dev understands the full picture before work begins
- Automate with Rovo Dev
Leave with a clear view of how Rovo Dev turns Jira into an intelligent planning partner that reads, understands, and acts on your project context.
Rovo Dev in Jira - Your dev teammate
12:30 pm
12:30 pm
Migrating thousands of users and deeply embedded workflows to the cloud is no small feat — especially when strict compliance requirements are non-negotiable. In this session, Utpal Pandya, Director of Global Engineering Services at Qualcomm, shares a candid, firsthand account of how Qualcomm successfully migrated from Data Center to Cloud with the support of Atlassian's FastShift program.
Designed to help enterprises move faster and with greater confidence, Atlassian FastShift provided Qualcomm with the expert guidance, structured framework, and hands-on support needed to navigate this complex migration. From early planning and stakeholder alignment to large-scale execution, the FastShift team played a pivotal role in de-risking the migration, accelerating timelines, and ensuring continuity across deeply integrated workflows — all while meeting stringent compliance requirements.
Utpal walks through the real-world strategies that drove success, the obstacles encountered along the way, and the critical lessons learned that can help others navigate similar transformations.
Key takeaways:
- Benefits of building a phased migration approach using FastShift’s structured framework, tooling, and hands‑on support to accelerate migration timelines and adoption.
- Establishing governance requirements and compliance controls to de-risk each migration phase.
- Driving change management tactics and post-migration support that sustains user adoption and confidence.
Accelerating cloud transformation at scale: Qualcomm's journey with Atlassian FastShift
ITSM transformations are complex, and ServiceNow to Jira Service Management migrations often cost more than planned, take longer than expected, and feel hard to control, especially when organizations have tight timelines to get off of ServiceNow. But what if there was a way to mitigate complexity and risk, reduce cost, and speed up transformation?
Isos Technology has years of experience and expertise helping clients overcome blockers and make the switch to Atlassian. In this session, we’ll showcase how we’re accelerating the transition from SNOW to JSM for clients with a proprietary, purpose-built Forge app that uses AI-assisted mapping to transform data in flight.
Key takeaways:
- Learn best practices for migrating to Atlassian as your ITSM platform
- See a demo of our SNOW to JSM Migration Assistant app
- Hear pain points, wins, and outcomes from a real client use case
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Accelerated SNOW to JSM Migration: Smarter process, better outcomes
LPL Financial is undergoing a full‑scale transformation of how teams plan, execute, and report work – standardizing across Jira, Confluence, Focus, Talent, Rovo, Loom, and Jira Product Discovery as a connected system of work. Rather than “rolling out tools,” LPL has designed an integrated user lifecycle experience across the Atlassian suite that eliminates manual reporting, creates consistent habits, and keeps teams rowing in the same direction.
In this session, Camila Haselwood, VP, Delivery Enablement from LPL Financial will share how her team sold a cohesive platform vision to leadership, executed a phased transformation – layering on Focus, Talent, and Rovo as needs emerged while keeping teams inside a single Atlassian ecosystem. She’ll walk through concrete examples of what worked (and what didn’t) in their rollout and change‑management approach, including how they built an army of internal champions to multiply buy‑in across the business.
Attendees will leave with practical patterns for designing a system that can scale and evolve with your organization – without sacrificing user experience or team autonomy.
Key takeaways:
- Learn how LPL designed an integrated, end-to-end Atlassian experience across Jira, Confluence, Loom, and Rovo.
- Leave with a concrete playbook for phased rollout and change management, including building internal champions and sustaining adoption.
- Learn practical patterns to create a scalable, flexible system of work that reduces manual reporting while preserving team autonomy.
From siloed tools to a system of work: How LPL Financial orchestrated a full‑stack Atlassian transformation
1:00 pm
1:00 pm
Most organizations aren’t failing at strategy; they’re operating with models that weren’t designed for how work actually happens today.
Priorities get set, but as they move through planning, funding, and delivery, they fragment. Teams stay busy, but alignment erodes. Strategy doesn’t fail all at once — it drifts.
This session isn’t about frameworks or best practices. It’s a perspective shift. We’ll challenge how you think about your operating model — how demand, capacity, and execution really connect — and what it would look like to redesign it for a world of continuous change, faster decision-making, and AI-supported work.
You’ll leave with a different lens on your own organization and where your operating model may be helping or quietly holding you back.
Your strategy isn’t broken — your operating model is
Atlassian tools often start in IT for project and workflow management – but their potential extends far beyond technical teams. Marketing, Finance, Operations, and many other teams can all benefit from the same principles of transparency, collaboration, and automation. In this session, MillerKnoll’s Atlassian expert, Shelby Corbitt, will show an actionable plan on how to extend Jira Service Management into non-IT departments, creating a unified platform for work management across the organization without building a technical debt of workflow spread. Scaling can sometimes be as simple as building a workflow that has many use cases.
Key takeaways:
- Understand why Jira Service Management isn’t just for IT – it’s for every team.
- Hear MillerKnoll’s strategy for assisting non-technical teams in adoption.
- Get tips for customizing workflows and spaces to fit diverse departmental needs while enabling all teams to work together.
Beyond IT: How MillerKnoll uses Jira Service Management to transform work
As AI becomes the engine of modern teamwork, global organisations are reimagining how people, processes, and products come together to deliver impact at scale. In this session, Atlassian and Accenture share how they are using AI-powered teamwork to connect distributed teams, streamline complex work, and move faster from big ideas to real outcomes.
We’ll walk through concrete, real-world examples of AI in action across strategy, delivery, and operations — from augmenting decision-making and reducing manual toil, to rethinking how teams collaborate across time zones and business units. You’ll hear what’s worked, what hasn’t, and how these organisations are navigating the cultural shifts that come with embedding AI into the System of Work.
Whether you’re just starting to experiment with AI or already rolling it out across your enterprise, you’ll leave with a practical view of what “AI-powered teamwork” really looks like at global scale — and how to apply those lessons to your own teams.
Key takeaways
- How Atlassian, Accenture, and our clients are using AI to connect distributed teams and accelerate cross-functional collaboration
- Concrete patterns, practices, and anti-patterns for scaling AI-powered workflows across large, complex organisations
- A practical checklist for turning your biggest AI ideas into your team’s next measurable achievement
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Unleashing global teamwork: Lessons in the power of AI from Atlassian and Accenture
Want to customize Jira and Confluence with Forge without writing a single line of code? With Rovo Studio, you can describe what you need in plain English and let AI handle the heavy lifting.
In this hands-on session, we’ll walk through designing, previewing, and building a Forge app using natural language prompts instead of starting from a blank editor. You’ll see how Atlassian admins, product managers, and developers can all use Studio to scaffold code, tweak logic, and safely iterate on real use cases — without needing deep JavaScript or Forge expertise.
You’ll leave with a clear, step‑by‑step starting path in Studio — where to go, what to type, and how to turn your idea into a working Forge app.
This session is being offered more than once.
Extend Jira and Confluence with Forge apps by chatting with Rovo
1:15 pm
1:15 pm
AI shouldn’t just support individuals. It should actively move work forward for teams and organizations.
In this keynote, we’ll show how Rovo, powered by the Teamwork Graph, understands your business end to end – who’s working on what, where knowledge lives, and how work flows across teams. With that context, Rovo doesn’t just surface answers, it takes action.
Through live demos and real-world examples of human-AI collaboration, you’ll see how teams set intent while Rovo orchestrates multi-step workflows across Jira, Confluence, and your favorite SaaS apps, while respecting existing permissions, governance, and compliance.
You’ll leave with a clear understanding of how Rovo fits into everyday work to speed decisions, reduce busywork, and help teams operate as truly AI-native.
Building AI‑native teams with Atlassian Rovo
1:30 pm
1:30 pm
Join us to see how you can get the most out of your AI with Teamwork Graph by connecting the tools you already use, turning scattered knowledge into a living model of how work gets done. See how it unlocks AI use cases that most AI co-pilots can’t reliably deliver from root-cause analysis to real-time answers and actions grounded in the latest activity across teams, tools, and knowledge.
Hear it first from Mercedes-Benz: how centralizing on the Teamwork Graph helps teams operate with the most relevant, up-to-date context – and move faster with smarter agents.
Key takeaways:
- How to get Rovo to deliver real-time, contextual answers based on the latest activity and changes
- How the Teamwork Graph enables more advanced enterprise AI use cases by connecting and enriching your tools, data, and relationships
- Practical steps to drive team velocity, reduce coordination costs, and build organizational resilience with the Teamwork Graph
Mercedes-Benz: Turning the Teamwork Graph into an AI advantage
Most teams have experimented with AI, but few make agents true teammates in their day-to-day workflows. Jira is changing that. Now, with Jira as your agent orchestration hub, your teams can bring agents directly into the work they already do today – without new tools or extra process.
Explore new ways to assign work to agents, blend human and automated execution, and manage trust, permissions, and autonomy. We’ll share can’t-miss lessons from early adopters about what’s possible with third-party agents in Jira.
Key takeaways:
- What Jira’s evolution into an agent orchestration hub means for your day-to-day workflows
- Practical ways to collaborate with agents in Jira, including assigning work, embedding agents into workflows, and having them execute on the work
- Insights on trust, permissions, and adoption from real teams
Bring the power of AI agents to your Jira workflows
Engineering organizations lose millions when their work isn't connected to company goals. Without a unified system of work, teams chase the wrong priorities, duplicate effort, or reinvent systems already built elsewhere. Leaders want confidence that teams are delivering value – not just moving tickets – but execution drifts and morale tanks when strategy, systems, and signals are disconnected.
In this session, we’ll share how we moved beyond a collection of tools to build a true system of work using Jira, Jira Align, Compass, Confluence, and Rovo. By rooting our engineering operations in strategic clarity and technical truth, we created a single, connected platform. The result? Leadership can see what’s being built and how it connects to strategy, while engineers get less busywork, clearer direction, and faster context.
Whether you’re leading a startup or a 5,000-person platform org, you’ll see how building a system of work on the Atlassian stack – with AI woven in – can reduce toil, improve forecasting, and sharpen executive confidence.
AI can’t fix broken systems: How Anaplan built a trusted system of work with Atlassian
As AI shifts to becoming an embedded teammate in your system of work, enterprises are learning a hard truth: AI isn’t failing because it's not smart enough – it stumbles because the data it relies on lacks shared context and meaning across the organization.
In this session, we’ll explore how you can unlock context-rich, “AI-ready” data with Atlassian. By leveraging data that’s connected, governed, and grounded in a common ontology, humans and agents can work better together, unlocking new opportunities for your organization.
We’ll show how a unified metadata layer, cross-system lineage, data quality metrics, and policy-driven access controls create the semantic context your organization needs to make high‑stakes decisions with confidence.
We’ll also take a practical look at how this can accelerate decision-making across your teams – shifting from the “service desk” model for analytics to enabling agents to act as reasoning engines, helping your teams innovate faster.
Key takeaways:
- Identify ways to audit critical metrics and definitions and close gaps in your organization's shared context
- Build a foundation for AI-ready data, mapping lineage, data quality, and establish policy-aware access
- Empower teams to use AI agents for routine analytics and decision support, reducing bottlenecks
Data is a team sport: Why enterprise AI wins or loses on shared context
2:15 pm
2:15 pm
AI is only as powerful as the data behind it. In an enterprise, that same data is your most strategic and sensitive asset. So how do you give AI the deep context it needs to be truly useful without sacrificing governance, control, or trust? With the Atlassian Platform, you don’t have to choose.
Discover how the Atlassian Platform turns everyday work into a unified, governed data foundation, giving AI the rich context it needs to deliver meaningful outcomes while keeping your data protected and firmly under your control. In this keynote, we’ll go under the hood to show you how it works in practice.
Key takeaways:
- Explore how the Teamwork Graph and our intelligent data layer unify scattered teamwork data into trusted, AI‑ready context, unlocking shared meaning for humans and agents so your teams can accelerate work.
- See how trust is built in by design with governance, security, and controls embedded from day one.
- Hear about our latest enterprise‑grade infrastructure advancements, so you can move to the cloud with confidence and unleash the power of AI.
Platform keynote: Close the AI context gap with data you can trust
2:30 pm
2:30 pm
Discover how to design Jira spaces your teams want to use daily. Help admins go beyond maintenance to create engaging team experiences using Rovo admin skills, custom onboarding, and reusable templates for any team size. Learn how to integrate Jira with Confluence, Loom, and other apps so updates and context flow smoothly across tools. Get examples of guided onboarding, tailored templates for tech and business teams, and smart automations that cut manual work while ensuring governance. This practical playbook will help you create a high-performance, AI-powered workspace for technical and business teams, capable of handling your most complex work.
Key takeaways:
- Design Jira spaces that feel tailored and intuitive using Rovo and reusable templates.
- Break tool and team silos by connecting Jira with Confluence, Loom, and third-party apps into one seamless system.
- Support both technical and business teams (including guest access and Jira Plans) so everyone can get started faster, stay aligned, and work smarter from day one.
Design the future of work by building a Jira space teams love
Successful customer support in an AI world is about having support teams team up with AI to enhance their creativity, judgment, and partnership. In this session, we’ll share why we believe this human-AI collaboration is key to enabling faster, smarter, and more personal customer support experiences. Whether you’re just beginning to pilot AI for customer support or are at a mature stage in your journey, we’ll share tips and real-world insights on how to use the Customer Service Management app so you can deliver exceptional customer support.
Key takeaways:
- Why customer experience, not cost savings, should be your focus as AI becomes a part of support operations
- Why your support teams and AI working together unlocks exceptional customer support experiences
- Actionable insights on how to empower your teams to build a human-AI dream team with the Customer Service Management app
Assemble your human-AI customer support dream team with the Customer Service Management app
AI has made it faster and cheaper to ship than ever before, but speed without clarity just gets you to the wrong place faster. In this new era, the competitive advantage isn’t just how much you ship, it’s how deeply you understand what’s worth building.
Join Mehdi Boudoukhane, Product Manager at Atlassian and former founder of Cycle, for an inside look at how product teams are turning scattered customer signals into confident decisions. Mehdi will introduce Atlassian’s Product Collection and how it brings together the Feedback app and Jira Product Discovery, powered by Rovo and AI, to connect insights to delivery.
We’ll demonstrate how Product Collection turns the chaos of customer signals into the fuel for your next big bet. You’ll see how the Feedback app centralizes voices from every channel – Slack, Gong, Salesforce, and more – using AI to distill thousands of raw data points into verified insights. Then, we’ll show how these insights connect directly to Jira Product Discovery to inform your roadmap and how you can finally “close the loop” with customers at scale.
Key takeaways:
- Turn feedback into direction: See how Product Collection teams use the Feedback app and Jira Product Discovery to bridge the gap between customer feedback and product delivery.
- Cut through the noise with AI: Learn how Rovo and AI transform scattered feedback into trusted, actionable insights without the manual overhead.
- Build with confidence: Understand how connecting insights directly to Jira Product Discovery leads to more informed roadmaps and better product bets.
- Close the loop at scale: Discover how to automate the "last mile" of product management - notifying customers the moment their feedback becomes a reality.
*Attendees will get priority access to join the Feedback App Early Access Program (EAP).
Turn customer feedback into better product decisions
What happens when the company behind some of the world’s most widely used teamwork tools uses those same products to run its own business? In this inside look, leaders from Atlassian share how critical enterprise functions - Finance, Legal, Security, HR, and Marketing - operate at scale using Atlassian’s platform.
Join Atlassian’s Chief Accounting Officer as they unpack how core finance processes such as close management, compliance workflows, and audit readiness are orchestrated with transparency and control. Hear from the Head of Commercial Counsel on how legal teams automate intake, streamline contract lifecycles, and manage risk without slowing the business. Get tips from an Atlassian Lead Security Engineer on how Atlassian secures Atlassian (and you!) - all within the same system of work.
*Session curated for Enterprise Leadership
Inside Atlassian: AI-Native Lessons from HR, Finance, Legal and Security
3:00 pm
3:00 pm
In this hands-on session, you’ll learn the basics about Rovo. Guided by practical exercises, you’ll start by creating your own AI agent, then enhance its capabilities through expert prompt writing and build a simple agentic workflow.
This workshop is ideal for beginners and intermediate users looking to gain real-world experience with Rovo AI agents. No prior experience with Rovo is required. By the end, you’ll have built and automated a working AI agent to help your team boost productivity and consistency in your Jira projects.
This session is being offered more than once.
Get to know Rovo: Build your first agent
3:15 pm
3:15 pm
Most organizations don’t have a strategy problem – they have a fragmented operating model. In this session, you’ll hear from top customers how Strategy Collection, Teamwork Collection, the Teamwork Graph, and Rovo connect goals, funds, teams, and work into one AI‑powered operating model that accelerates decisions and improves business outcomes.
Key Takeaways:
- See how to run your business from one shared, AI‑powered operating model that connects goals, portfolios, funds, teams, and work in Strategy Collection.
- Learn how Strategy Collection, Teamwork Collection, the Teamwork Graph, and Rovo turn static plans into live, signal‑driven backlogs so you can drive strategic priorities in days, not months.
- Explore how to govern planning through execution at enterprise scale by standardizing portfolio rituals, enforcing guardrails, and keeping strategy, funding, and delivery in sync.
Strategy Collection keynote: Drive strategy with AI insights
3:30 pm
3:30 pm
In the fast-paced world of enterprise IT, asset management is a critical differentiator. No two organizations manage assets and configuration data the same way, but they all face similar challenges: growing complexity, scattered data, and the need to move faster. Join this dynamic panel featuring leaders from L.L.Bean and Rover as they share how they’re leveraging Atlassian’s asset management solutions to gain visibility, control, and agility over their hardware and software assets, and how they’re scaling Assets across different teams and use cases.
From structuring data across departments to enabling automation and governance, these organizations have transformed their asset management practices to support innovation, ensure compliance, and maximize operational efficiency. Moderated by the MaSonya Scott, Service Management Evangelist at Atlassian, this candid conversation will surface practical insights, unexpected lessons, and strategies you can apply in your own context – whether you’re just starting out or already deep in the weeds.
Key takeaways:
- Why asset management is mission-critical for L.L.Bean and Rover
- The challenges of managing assets in unique industries
- Implementation journeys
- Driving innovation and agility, and measuring success
Accelerating asset at enterprise scale: How L.L.Bean and Rover drive success with Assets
4:00 pm
4:00 pm
In this session, we explore the shift from AI-assisted coding to AI-native software delivery, where your engineers orchestrate agents, your PMs shape intent at higher leverage, and your teams redesign review around risk and outcomes rather than code.
As velocity increases, alignment debt replaces technical debt, and governance must be built in, not bolted on. Explore how to make Jira and DX the shared system of record for intent, execution, traceability, and measurement across your Software, Product, and Service Collections, while Rovo Dev operates as the agentic execution layer connecting strategy to delivery in an AI-native world.
Learn how your enterprise can move beyond single-player AI tools to coordinated, measurable, and resilient agentic delivery at scale.
The agentic pivot: Building software in the era of human-AI collaboration
You’ve built your first Rovo agents—now it’s time to make them really work for you. In this session, we’ll dive into scenario design, testing reliability with evaluations, making workflows truly agentic, and using advanced automation to connect Rovo with your tools and processes.
This workshop is designed for participants with foundational agent-building experience who are ready to go deeper and operationalize agents in real-world environments.
This session is being offered more than once.
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
4:30 pm
4:30 pm
Moving from Atlassian Data Center to cloud isn’t just a technical migration, it’s a strategic business decision. And in enterprise ecosystems, the real risk isn’t data volume. It’s identity fragmentation, app sprawl, custom scripting, compliance exposure, and mission-critical workflows that cannot break.
In this session, Seibert Solutions demonstrates why a structured cloud migration assessment is strategically essential. Drawing from real customer engagements, we’ll show how to evaluate your Data Center environment through three key lenses: business impact, risk, and cost and effort required. You’ll learn how to surface hidden complexity early and transform migration planning into a clear, leadership-ready decision framework.
With deep expertise in scripting, custom development, and Atlassian Forge app development, Seibert understands how apps are built, what rebuilding or rationalizing them in cloud truly requires, and where modernization creates long-term value.
Key takeaways:
- How to evaluate cloud readiness through business impact, risk, and cost
- Common blockers and best practices identified through real customer assessments
- A practical assessment framework that supports confident executive decision-making
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Don’t migrate blind: How to assess your Data Center environment for cloud success
Enterprise R&D teams are drowning in fragmented work scattered across Jira, Confluence, GitHub, and the rest of the toolchain - a challenge that is particularly acute for long-established global enterprises like Mazda, where decades of products, processes, and institutional knowledge must evolve without compromising safety, quality, or speed.
In this session, Mazda will showcase their Defect Context Hub: a custom defect management solution built on the Atlassian platform using Teamwork Graph and Rovo. You’ll learn how Mazda uses Atlassian’s platform to ship higher-quality, safer code faster—and how you can apply the same patterns in your own environment.
Key takeaways:
- The role of cloud in Mazda’s connected development transformation. Learn why cloud migration is critical for Mazda to adapt to automotive development trends, and the criteria they used to guide their decisions.
- Unify fragmented data with Teamwork Graph. See a real-world walkthrough of a custom connector Mazda built for Codebeamer—a requirements gathering tool—letting them consolidate data across Codebeamer, Confluence, Jira, and Bitbucket.
- Learn how to build custom Atlassian solutions with the Teamwork Graph API. Explore custom views Mazda created in Jira to give developers the full context for any defect—all in one place.
- Walk away knowing how Teamwork Graph makes agents context-aware. Learn how Mazda leverages Rovo and Teamwork Graph to deliver permission-aware insights directly into developer workflows, so teams can act faster and with confidence.
Streamline defect management: How Mazda leverages Teamwork Graph to drive out defects
Ever wonder how the team behind Jira actually runs Jira for their own marketing? Learn how Jira’s Head of Marketing uses Jira and Trello to the limit every day to get sh*t done. No theory, no generic best practices—just the real boards, workflows, and rituals that keep campaigns moving, stakeholders aligned, and priorities crystal clear.
See how to structure work from big bets down to daily tasks, when to choose Jira vs. Trello, and when to leverage Confluence and Loom to keep everyone informed without drowning in meetings. We’ll walk through how to manage intake, approvals, launches, and retros in one connected system, plus where automation and AI help the team move faster without losing control.
You’ll leave with a concrete, copy‑and‑paste system you can adapt for your own team, whether you’re running scrappy experiments, global launches, or anything in between.
Key takeaways:
- A behind-the-scenes look at the actual Jira + Trello setup used by Jira’s own marketing team to plan, execute, and report on work
- Practical patterns for structuring campaigns, managing intake and approvals, and keeping stakeholders aligned using Jira, Trello, Confluence, and Loom
- Copy‑ready board layouts, workflows, and rituals you can duplicate to help your team move faster with more clarity and less chaos
How marketers get sh*t done with Jira and Trello
5:00 pm
5:00 pm
AI is reshaping how engineers work – but what does that actually look like at scale? Drawing on data and patterns from more than 500 organizations, we break down the five most significant trends emerging in AI-assisted engineering today.
This fast-paced theater session cuts through the hype to deliver concrete, evidence-based insights that engineering leaders can act on immediately.
Key takeaways:
- Discover the top 5 AI-assisted engineering trends observed across 500+ organizations
- Understand how leading teams are integrating AI into their engineering workflows
- Leave with actionable strategies to apply at your organization
AI-assisted engineering: 5 trends we’re seeing from 500+ organizations
Migrating mission-critical financial processes to the cloud requires more than new technology—it requires trust. SiriusXM set out to modernize a complex capitalization and financial governance process while maintaining the audit accuracy and compliance standards their Finance organization depended on.
In this session, SiriusXM shares how they partnered with Adaptavist and Tempo to move from a legacy on-premise environment to a cloud-based solution within the Atlassian ecosystem. Along the way, they aligned Finance, PMO, and engineering teams around a new operating model for tracking time, cost, and portfolio investments while ensuring governance and transparency remained intact.
Attendees will hear how SiriusXM validated compliance requirements, built confidence with finance stakeholders, and successfully modernized their portfolio and capitalization workflows in the cloud.
Key takeaways:
• How to bring finance and audit stakeholders along in cloud migrations
• Strategies for maintaining governance and transparency in Atlassian Cloud
• How ecosystem partners accelerate complex enterprise transformations
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
From legacy to cloud: SiriusXM’s financial governance
Part 2: Designing for the beautiful mess of modern work
You’ve built your first Rovo agents—now it’s time to make them really work for you. In this session, we’ll dive into scenario design, testing reliability with evaluations, making workflows truly agentic, and using advanced automation to connect Rovo with your tools and processes.
This workshop is designed for participants with foundational agent-building experience who are ready to go deeper and operationalize agents in real-world environments.
This session is being offered more than once.
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
5:30 pm
5:30 pm
Migrating from Data Center to cloud isn’t just a technical shift – it’s a transformation of how teams work. In this fast-paced theater session, hear the real-world story of how one enterprise customer successfully made the move to Atlassian Cloud while keeping their most critical apps, workflows, and business processes running smoothly.
We’ll walk through the challenges they faced, from complex environments and app dependencies to workflow continuity and how they tackled them head-on. Learn how a strategic partnership with Appfire helped streamline the migration, modernize workflows, and ensure their Atlassian ecosystem didn’t just survive the move, but improved because of it.
You’ll leave with practical insights, proven approaches, and a clear blueprint you can apply to your own cloud journey no matter where you’re starting from.
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
From Data Center to cloud: One customer’s blueprint
AI is rewriting the rules of employee service – is your team ready? Go beyond the hype and see how AI agents can deliver faster, more personal support while reducing load on your teams.
In this session, we'll deep dive into the art of the possible with Rovo Service, Service Collection's powerful AI agent for employee support, including how to unlock accelerated request resolution, seamless self-service, and intelligent employee onboarding workflows. We’ll demo top use cases and walk through practical, step‑by‑step ways to deploy AI agents for faster response times, less manual work, and better outcomes – so your team can focus on higher‑value work.
Whether you’re just starting your AI journey or looking to scale existing initiatives, you’ll leave with actionable patterns, guardrails, and next steps to navigate the evolving landscape of AI-powered employee service with confidence.
Key takeaways:
- Clear mental model of AI agents in service management: What AI agents are (and are not) good at in employee support scenarios
- Real Rovo Service use cases and pro tips: Get the wheels turning on ways your team can use AI and learn the ins and outs of how to take Rovo Service usage from pilot to best practice
- A practical deployment playbook: Step‑by‑step guidance to roll out AI agents, including data, configuration, and guardrails
Humans + Rovo Service: The new employee service playbook
Most teams know the feeling. A leader asks for the latest roadmap, and suddenly you're rebuilding in slides something that already lives in your planning tool — and by the time it lands in their inbox, it's stale.
In this Atlassian-on-Atlassian theater session, Gosia Kowalska, Head of Product Data Center, at Atlassian, pulls back the curtain on how product teams inside Atlassian use Jira Product Discovery to plan, prioritize, and communicate their roadmaps across the organization. Drawing on real setups from teams including Atlassian's own AI group, the session shows how a single "control tower" board becomes the source of truth, and how tailored views for engineering, design, legal, and leadership are all derived from it — no duplication, no stale documents. Finally, the session looks at what comes next: how teams are beginning to use Rovo agents to automate JPD updates, surface customer insights for prioritization, and generate stakeholder-ready content on demand.
Key takeaways:
- How to build a control-tower board in JPD and create audience-specific views for leaders, engineers, designers, and legal from a single source of truth
- How Atlassian approaches capacity planning inside JPD, replacing spreadsheets with a live view that tracks engineer allocation as work evolves
- How Rovo agents can extend your JPD setup: generating roadmap pages on demand, surfacing insights for prioritization, and keeping your board current automatically
How we prioritize and roadmap at Atlassian
Get to know Rovo: Build your first agent
Sven Peters (Atlassian)
How Dropbox is designing intentional work in the AI era with Loom
Allison Vendt (Dropbox), Avani Prabhakar (Atlassian)
Redefining enterprise scale with Forge and AI
Nachiket Bal (PwC), Namrata Sabnis (PwC)
Ship faster, build better: AI-powered developer experience in Bitbucket
Chris Clarke (Atlassian), Raul Gomis (Atlassian)
Loom for leaders: Authentic communication with Loom and AI
Colleen Blake (ServiceRocket), Joe Thomas (Atlassian), Sean Joerg (Reddit Inc.)
High-velocity HR at global scale: How Veralto built a smarter service model
Adeyinka Aladesanmi (Veralto), Gina Lajeunesse (Veralto), Lacy Saute (Adaptavist)
Zero to hero: Building Rovo Agents
Shihab Hamid (Atlassian), Sushant Koshy (Atlassian)
Stryker’s agile journey to success with Teamwork Collection
Michael Roberts (SPK and Associates), Tobias Kuechen (Stryker Corporation)
Technology vision: How technology trends are revolutionizing the way of working
Emmanuel Viale (Accenture)
Designing for flow: How Atlassian Williams F1 Team is building an AI-led System of Work
Andrew Boyagi (Atlassian), Matt Harman (Atlassian Williams F1 Team)
Customers leading the AI Rovo-lution
Chance Webb (Atlassian), James Willmore (LVT), Kasia Wakarecy (Pythian), Kate Brenden (Rover), Sue Oliver (L.L.Bean)
Lessons from the aisle: Ace Hardware’s journey to enterprise-scale ITSM on Jira Service Management
Greg Guertin (StrataCom Inc), Jeff Nason (Ace Hardware)
Building 10x organizations: Modern productivity metrics featuring Dropbox
Justin Reock (DX)
Rovo Dev in Bitbucket: Your review teammate
Jovana Dunisijevic (Atlassian)
After the migration: What actually drives value in Atlassian Cloud
Parth Patel (Cprime Inc), Ted Henry (Cprime)
Extend Jira and Confluence with Forge apps by chatting with Rovo
Caterina Curti (Atlassian)
Atlassian Backup and Restore: Data protection and business continuity in the AI era
lakshmi manasi behl (Atlassian)
Build a customer service AI agent: From zero to hero in 15 minutes
Vincent Wong (Atlassian)
Yes, and: How Atlassian Security learned to enable AI — From sandbox to agents
Alan Ross (Atlassian)
What AI needs from your strategic plan (and isn't getting)
Ingrid Blake (Atlassian), Jake Comito (Atlassian)
How to build a scalable service knowledge base
Samie Delebo (Perforce Gliffy)
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
Sven Peters (Atlassian)
Designing for the beautiful mess of modern work
Charlie Sutton (Atlassian), Loredana Crisan
20 teams, one mission: scaling ITSM transformation at UW-Madison SMPH
Lindsay Bolan (University of Wisconsin Madison)
From strategy to impact: Jira Product Discovery in practice
Brent Johnson (Maple), Suzy Sargsyan (UCLA)
Best practices for designing a secure AI environment
Ashwini Rattihalli (Atlassian), Gaurav Awadhwal (Atlassian), Shivi Verma (Docusign)
The Future of Confluence: Tools, tricks, and transformations for every type of team
Matt Reiner (K15t)
How California’s Department of Health Care Services aligns strategy and delivery with Strategy Collection
Christine Corona (State of California, Department of Health Care Services)
Confluence AI power moves: From idea to impact in seconds
Allison Arcos (Atlassian), Emily Ditchfield (Atlassian)
Rovo agents in action: Accelerating self-service deflection and support productivity
Premanku Chakraborty (Atlassian)
Jira Plans (Advanced Roadmaps) for project management
Alex Ortiz (Apetech LLC)
Securing the future of AI collaboration
Rob Bissett (Atlassian)
Racing to net zero with Teamwork Collection
Amanda Martins (Atlassian Williams Racing), Jessica Hyman (Atlassian), Stan Shepard (Atlassian)
Are you smarter than a Jira admin? – Round 2
Sajit Nair (Culture Commandos Advisory LLP)
Beyond the pull request: AI-native code review and incident resolution
Natalija Fuksmane (Atlassian), Ryan Jiang (Atlassian)
Your meetings need a makeover: Learn the frameworks in Confluence, Jira, and Loom
Brittany Soinski (Atlassian), Sasha Rappaport (Atlassian)
Elevating admins: Shape, secure, and transform your system of work
Alok Jain (Atlassian), Ethan Harry (Atlassian)
9:00 am
9:00 am
More information to follow
Closing Keynote
10:15 am
10:15 am
In this hands-on session, you’ll learn the basics about Rovo. Guided by practical exercises, you’ll start by creating your own AI agent, then enhance its capabilities through expert prompt writing and build a simple agentic workflow.
This workshop is ideal for beginners and intermediate users looking to gain real-world experience with Rovo AI agents. No prior experience with Rovo is required. By the end, you’ll have built and automated a working AI agent to help your team boost productivity and consistency in your Jira projects.
This session is being offered more than once.
Get to know Rovo: Build your first agent
As AI reshapes how work gets done, how we collaborate matters more than ever.
Join Avani Prabhakar, Chief People & AI Enablemnt Officer at Atlassian, in conversation with Allison Vendt, VP of People Operations and Experience at Dropbox, for a discussion on how Dropbox is evolving its operating model to scale an intentional, asynchronous culture in the age of AI.
As AI accelerates execution, Dropbox is reimagining how and where human collaboration can add the most value to every workflow – designing modern ways of working that protect focus time, reduce meeting overload, and ensure real-time interaction is purposeful. You’ll hear firsthand how Loom and AI-powered workflows are helping teams communicate more clearly across time zones, move decisions forward asynchronously, and reserve live moments for the work that truly benefits from human connection.
You’ll walk away with:
- A framework for designing intentional work in the AI era
- Practical experiments to balance async efficiency with meaningful human connection
- Real-world results and lessons from Dropbox and Atlassian
*Session curated for Enterprise Leadership
How Dropbox is designing intentional work in the AI era with Loom
PwC continues to advance its firm-wide digital ecosystem, including its strategic partnership with Atlassian to expand the use of Jira and Rovo across the enterprise. The firm is enhancing automation and operational consistency to drive standardization while maintaining the flexibility required in a multi-tenant environment. With an automation-first mindset, PwC has developed capabilities that allow teams to launch, manage, and govern Jira projects with greater speed, reliability, and alignment to firmwide best practices. These capabilities include fully automated workflows and intelligent integrations that minimize manual effort, improve cost efficiency, and create a more seamless experience across PwC’s diverse business units.
With AI serving as a cornerstone of PwC’s digital strategy, Rovo is being embedded into core delivery systems to help teams access contextual knowledge, make data-informed decisions, and work more effectively within the existing toolset. By integrating automation, self-service enablement, and AI-driven knowledge access, PwC is empowering its people to deliver with greater agility, consistency, and value – positioning the firm for the next generation of scaled digital operations.
Key takeaways:
- Scaling with consistency: How PwC and Atlassian are enabling enterprise-wide scale through standardized, automated Jira deployment and configuration
- Empowering through self-service: How automation and user enablement are transforming project management in Jira and reducing reliance on administrative support
- Embedding intelligence in delivery: How Rovo-powered AI enhances productivity and decision-making by surfacing contextual insights directly within enterprise workflows
Redefining enterprise scale with Forge and AI
See how the latest AI-driven enhancements in Bitbucket are reshaping the developer experience and unlocking significant productivity gains. By embedding intelligence directly into the workflow, Bitbucket reduces manual toil and automates repetitive tasks, allowing engineers to focus on high-impact innovation and deliver quality code with fewer bugs. We’ll also provide an update on enterprise-grade capabilities coming in the next six months.
We’ll cover:
- Code reviewer: Context-aware, AI-enabled PR reviewer that provides instant suggestions based on your requirements, including security and compliance checks.
- Pipelines troubleshooter: AI-assisted analysis of failed build steps that explains errors in plain language and suggests fixes.
- Agentic Pipelines: AI-driven automation workflows that reduce toil, such as automatically updating documentation upon submitting a PR.
- Enterprise-grade roadmap: Hybrid license (Data Center + cloud), data residency, backup and restore, and customer-managed keys.
Ship faster, build better: AI-powered developer experience in Bitbucket
Join us for an inspiring leadership panel where true champions of Loom share how Loom has transformed their approach to communication, knowledge sharing, and team alignment in the age of AI. Discover actionable strategies for cascading information, delegating with clarity, and building trust across distributed teams.
You’ll also see how pairing Loom with Rovo can unblock teams and make information more accessible. Whether you’re a seasoned leader or aspiring to grow, this session will equip you with actionable tips and real-world examples to elevate your leadership impact using Loom. Bring your questions and get ready to be inspired by those who are redefining organizational communication.
Key takeaways:
- See how leaders use Loom to share strategy, updates, and decisions in a way that actually lands with their teams and drives action.
- Learn simple ways to delegate work over Loom so people get the full context, ask fewer follow-up questions, and move faster.
- Walk away with real examples you can copy-paste into your own leadership style to build more trust, visibility, and connection across your distributed team.
Loom for leaders: Authentic communication with Loom and AI
Across rapidly growing organizations, HR teams are under pressure to deliver world-class service at scale. In this session, Veralto reveals how they transformed a complex global HR support model into a streamlined experience using Jira Service Management, Rovo, and an intelligent Assets-driven design. You’ll get an inside look at how Veralto launched a modern, multilingual HR service management portal and knowledge base that empowers employees worldwide with a seamless support journey.
We’ll dive into how Veralto’s HR operations became smarter and more efficient through automation and integrations, like a Workday-to-Assets sync that brings rich, contextual employee data directly into Jira Service Management. You’ll also see how Rovo supercharges request assignment with routing that distributes work across teams, how Atlassian Analytics unlocks real-time HR KPIs, and how the entire ecosystem comes together to support a global workforce. If you’re exploring high-velocity service management beyond IT, or looking to elevate HR support, this is a session you don’t want to miss.
Key takeaways:
- How Veralto built a scalable, multilingual Global HR service management portal powered by Jira Service Management and Assets
- How Workday integration, Rovo, and Assets work together to enable intelligent, automated routing
- How to leverage Atlassian Analytics to measure HR performance, track KPIs, and drive continuous service improvement at scale
High-velocity HR at global scale: How Veralto built a smarter service model
Building better AI agents is a skill your team can learn, no code required. Join Atlassian as they share the steps for creating effective AI agents for everyday workflows, from identifying automation opportunities to designing high-impact agent experiences. You’ll learn how to write clear instructions and examples (including what good and bad look like) and how to leverage existing knowledge to improve agent performance. Hear industry best practices, practical tips, and real-world use cases for Rovo Studio, and explore how Rovo Agents can extend to multiple surfaces beyond Atlassian.
Key takeaways:
- Learn how to bring Rovo Agents into everyday workflows.
- Explore Rovo Studio to build, test, and deploy your own agents.
- Discover practical ways your team can collaborate effectively with AI agents.
Zero to hero: Building Rovo Agents
11:15 am
11:15 am
Stryker, one of the world’s leading medical device companies, has evolved agile from a small, software experiment into an enterprise-wide way of working across hardware, software, and systems. Hear how Stryker consolidated multiple Jira and Confluence instances, navigated complex mergers and acquisitions, and broke down silos to build a scalable agile foundation on Atlassian Cloud Enterprise.
Hear how Stryker and SPK and Associates (an Atlassian Gold Solution Partner) have planned, delivered, and are continuously improving using Jira, Confluence, Rovo, Loom, and Analytics. You’ll see how a 200-person scrum at scale organization plans, delivers, and learns together using Jira, Confluence, Rovo, Loom, and Analytics dashboards, and what’s changing as they move from Cloud Enterprise to Teamwork Collection.
Key takeaways:
- Learn how Stryker unified multiple Jira and Confluence instances to create a single, scalable agile foundation across hardware, software, and systems.
- See how a 200-person scrum at scale organization uses Jira, Confluence, Rovo, Loom, and Analytics dashboards to plan, deliver, and continuously improve.
- Leave with practical lessons for scaling agile in complex, regulated environments – improving visibility, predictability, and cross-functional collaboration with the right coaching, training, and tooling.
Stryker’s agile journey to success with Teamwork Collection
Emerging technologies, including AI, have started to change the way we work and collaborate. In this session, we will cover recent industry examples across areas ranging from automotive design to drug discovery to manufacturing. This will bring another perspective on the system of work in action today and in the future.
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
Technology vision: How technology trends are revolutionizing the way of working
In 2025, we shared how Atlassian Williams F1 Team started aligning strategy, work, knowledge, and AI to unlock the potential of a connected System of Work.
Now see what happens when they design for flow. We’ll unpack how Williams is rebuilding purpose, work, knowledge, and intelligence flows across the organization – using the Atlassian System of Work to standardize tooling, streamline updates, and embed Rovo-powered agents into critical engineering, IT, and leadership workflows – to turn how their teams work into a performance edge.
*Session curated for Enterprise Leadership
Designing for flow: How Atlassian Williams F1 Team is building an AI-led System of Work
Join leaders from LVT, Rover, Pythian, and L.L.Bean as they share how they standardized on Atlassian Rovo to turn everyday work into trusted, AI-powered workflows. From multi-agent systems to AI knowledge discovery, they’ll walk through what actually worked in their organizations: how they onboarded agents, prepared and connected knowledge, drove adoption, measured impact, and proved business value.
Key takeaways:
- How to align AI strategy with clear, cross‑functional business outcomes instead of isolated pilots
- How customers scaled Rovo across Confluence, Jira, and other connected tools
- Practical, customer-tested guidance on standardizing Atlassian tools to scale AI responsibly
Customers leading the AI Rovo-lution
Ace Hardware, one of the largest retailer-owned cooperatives in the world, undertook a major modernization effort to unify its ITSM practices, standardize processes across business units, and elevate the service experience for thousands of employees and store owners. This session walks attendees through Ace Hardware’s transformation journey from evaluating legacy platforms to designing and deploying a scalable ITSM solution on Jira Service Management.
The Ace team will share how they reimagined their service catalog, automated back-office workflows, improved visibility across teams, and deployed structured governance to maintain quality without slowing innovation. Through real-world examples, attendees will hear lessons learned, pitfalls to avoid, and practical tips for executing a successful Jira Service Management implementation in a complex enterprise environment. Platinum Partner, StrataCom, will join to provide additional insights into enterprise Jira Service Management implementation considerations.
Whether your organization is planning a migration, expanding Jira Service Management adoption, or looking for strategies to mature your ITSM program, this session provides actionable insights you can bring back to your team.
Key takeaways:
- Evaluate and choose the right ITSM platform for your organization
- Design an integrated ITSM ecosystem with Assets at the center
- See how to standardize workflows for requests, changes, and releases at scale
Lessons from the aisle: Ace Hardware’s journey to enterprise-scale ITSM on Jira Service Management
Most organizations measure developer productivity the wrong way – tracking outputs instead of outcomes and activity instead of impact. But a new generation of engineering leaders is changing that.
In this session, Justin Reock explores the origins and theories behind developer productivity and developer experience, sharing how forward-thinking teams use modern metrics to build high-performing, 10x engineering organizations. Featuring real-world examples from Dropbox, attendees will walk away with a practical framework for measuring what actually matters.
Key takeaways:
- Understand the foundational theories behind developer productivity and developer experience
- Learn which modern metrics signal healthy, high-performing engineering teams
- See how Dropbox applies these principles in practice
Building 10x organizations: Modern productivity metrics featuring Dropbox
11:30 am
11:30 am
See how Rovo Dev elevates your code delivery right inside Bitbucket. We'll walk through scenarios where you:
- Run AI-powered code reviews on pull requests with Rovo Dev's Code Reviewer. Get actionable feedback on quality, security, and best practices before merging.
- Trigger agentic pipelines that let Rovo Dev autonomously fix issues, apply suggestions, and push changes back to your branch.
- Summarize deployments with the Deployment Summarizer. Instantly understand what shipped, what changed, and what to watch.
Leave with a clear view of how Rovo Dev acts as your review teammate in Bitbucket – catching issues, automating fixes, and keeping your team informed across the entire delivery cycle.
Rovo Dev in Bitbucket: Your review teammate
12:30 pm
12:30 pm
As Atlassian Data Center reaches end of life, many organizations move quickly to cloud by preserving existing ways of working. That approach meets deadlines, but it rarely delivers sustained value.
This session presents a clear, experience-based point of view on what actually drives outcomes in Atlassian Cloud after migration. You’ll learn why value realization depends less on the move itself and more on how work flows, how decisions happen, and how adoption is designed and reinforced over time.
We’ll walk through a practical, execution-ready path from migration to meaningful change, including how teams redesign workflows, clarify decision flow, and embed intelligence into Jira and Confluence in ways people actually use. The focus is not cloud compliance, but improved visibility, faster execution, and continuous improvement that compounds long after go-live.
Key takeaways:
- Understand what most determines value realization after Atlassian Cloud migration
- Identify the risks of treating migration as the finish line rather than the foundation
- Learn the core elements teams use to move from migration to sustained execution improvement
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
After the migration: What actually drives value in Atlassian Cloud
Want to customize Jira and Confluence with Forge without writing a single line of code? With Rovo Studio, you can describe what you need in plain English and let AI handle the heavy lifting.
In this hands-on session, we’ll walk through designing, previewing, and building a Forge app using natural language prompts instead of starting from a blank editor. You’ll see how Atlassian admins, product managers, and developers can all use Studio to scaffold code, tweak logic, and safely iterate on real use cases — without needing deep JavaScript or Forge expertise.
You’ll leave with a clear, step‑by‑step starting path in Studio — where to go, what to type, and how to turn your idea into a working Forge app.
This session is being offered more than once.
Extend Jira and Confluence with Forge apps by chatting with Rovo
1:00 pm
1:00 pm
For modern teams, Jira and Confluence aren't just tools, they're mission-critical components of your system of work. And in the era of AI, work is only accelerating. So what's your plan if something goes wrong? In this session, we'll take a hands-on look at Atlassian Backup and Restore and how it fits into a broader data protection and business continuity framework. After this presentation, you will leave with a clear action plan to safeguard your organization's most critical work – and the confidence to minimize disruption when it matters most.
Key takeaways:
- Atlassian’s approach to data resilience and business continuity in the cloud
- How you can use Atlassian Backup and Restore as a native recovery layer for customer-owned data incidents
- What’s coming next
Atlassian Backup and Restore: Data protection and business continuity in the AI era
In this fast-paced theater session, Vincent Wong, Sr. Principal Product Manager at Atlassian, will demystify AI agent setup in Atlassian’s Customer Service Management app. From initial setup to ongoing optimization, you’ll learn the essential steps to launch your agent, improve its performance over time, and build the right support model around it. We’ll also explore how AI is reshaping team responsibilities and why new patterns of ownership, oversight, and continuous improvement are becoming critical to success.
Key takeaways:
- Experience a simple step-by-step approach to launching your first AI agent in Customer Service Management with confidence.
- Learn practical ways to improve quality, performance, and effectiveness over time.
- Explore a new way to think about ownership, oversight, and evolving team responsibilities as AI becomes part of support operations.
- Leave with real-world tips to help your AI agent deliver meaningful impact for your team and your customers.
Build a customer service AI agent: From zero to hero in 15 minutes
1:30 pm
1:30 pm
The default security response to AI is "no." At Atlassian, we chose
a different path. In this session, Alan Ross walks through how the security
team built a layered approach to AI enablement — one that lets engineers
experiment boldly while keeping the enterprise safe.
The journey has four acts: first, creating secure AI sandbox environments
where engineers can experiment without risk to production data. Second,
standing up VDI infrastructure with synthetic data so teams can test AI models
against realistic datasets without ever touching customer information. Third,
enabling production AI experimentation with the guardrails — data loss
prevention, audit logging, and access controls — that let security say yes
instead of no. And finally, embracing agentic AI: autonomous agents that can
query Jira, Confluence, and the Atlassian Teamwork Graph in real time, with HR
data automatically blocked, credentials scrubbed, and every action logged.
The lesson: security done right isn't a gate. It's the foundation that makes
AI adoption possible at scale — from your first sandbox to your ten-thousandth
user.
Live demo included.
Yes, and: How Atlassian Security learned to enable AI — From sandbox to agents
Annual plans rarely survive first contact with shifting priorities. Leaders need a way to see cross-portfolio dependencies, surface risks early, and clarify the concrete asks between teams — so strategy doesn’t stall when signals change.
Key takeaways:
- Connecting bets to the work, making dependencies and risks visible at the right altitude
- Defining crisp cross-team asks so leaders can re-route investment and teams can move in days, not quarters.
- Designing a living model that turns your strategy into a system the organization can actually act on — so that when the signal hits, you can move efficiently
We'll also double-click into Strategy Collection's Strategic Plans, and how it can enable leaders to see and manage dependencies, risks, and asks across portfolios.
What AI needs from your strategic plan (and isn't getting)
A great knowledge base isn’t a pile of pages – it’s a system that turns scattered answers and expertise into a trusted, searchable source of truth in Atlassian cloud. The payoff? Better customer experiences, smoother onboarding, ticket deflection, and more.
In this session, you’ll learn a practical “0 to 1” approach to documentation so that teams can publish consistently and resolve questions faster, with an emphasis on:
- Best practices that make knowledge creation a habit, not a chore
- How to use AI to create quality content even faster
- When to enrich content with Gliffy diagrams or other graphics
This is a sponsored session. Badge scanning is optional. By having your conference badge scanned, you are opting in to be contacted by the sponsor. You will be subject to the sponsor’s communications and privacy policies and must contact them directly if you later wish to change your preferences.
How to build a scalable service knowledge base
You’ve built your first Rovo agents—now it’s time to make them really work for you. In this session, we’ll dive into scenario design, testing reliability with evaluations, making workflows truly agentic, and using advanced automation to connect Rovo with your tools and processes.
This workshop is designed for participants with foundational agent-building experience who are ready to go deeper and operationalize agents in real-world environments.
This session is being offered more than once.
Level up your Rovo Agents - Scenarios, evals, agentic workflows, and automation
1:45 pm
1:45 pm
Teamwork is messy, and AI is turning up the volume of that mess. Join Atlassian’s Chief Design Officer, Charlie Sutton, as he shares how we’re designing for that reality, not fighting it.
Real, meaningful innovation depends on false starts, conflicting ideas, and rapid iteration. The goal of design shouldn’t be to get rid of the mess, because the mess is where magic happens.
Design should get rid of the friction around the mess: busywork, duplicate effort, and a sprawl of tools and agents, so teamwork actually feels good again. Charlie will share examples of how Atlassian’s design approach removes that friction to turn chaos into collective creativity.
Powered by decades of teamwork insight and the Teamwork Graph, our design focuses on the human side of teamwork. You’ll leave with a clear vision of human-AI experiences that protect human agency and empower teams to move faster, decide better, and build work they’re proud of.
*Session curated for Enterprise Leadership
Designing for the beautiful mess of modern work
How do you unify 20+ independent IT units into a single, high-performing department? At the University of Wisconsin–Madison’s School of Medicine and Public Health (SMPH), the answer wasn’t just a new tool—it was a total transformation. Faced with a system-wide position cap and tight legacy deadlines, the SMPH team successfully migrated to Atlassian Cloud to centralize communication, slash redundant costs, and bridge siloed workflows.
Join us for a transparent look at their journey. We’ll dive into the real-world hurdles of public sector scaling, from misaligned expectations to technical talent gaps, and the strategic framework that turned these obstacles into a blueprint for success. Whether you’re battling budget constraints or complex reorganizations, you’ll walk away with a practical roadmap for delivering unified services at scale.
Key takeaways:
- How a standardized service framework drives long-term success.
- Practical ways to navigate a complex implementation under staffing, budget, and time constraints.
- Strategies for growing technical expertise in a small team while juggling multiple large-scale builds.
20 teams, one mission: scaling ITSM transformation at UW-Madison SMPH
What does it take to turn product strategy into measurable, organization-wide impact? Three product teams from Maple Health, Erie Insurance, and UCLA have found the answer in Jira Product Discovery, and they are sharing how in this panel discussion.
In this session, product leaders share how they elevated Jira Product Discovery from an idea-tracking tool into a full product operating system. Maple Health built an "intent to impact" workflow that unified strategy, prioritization, and delivery into a single source of truth. UCLA designed multi-audience roadmap views that keep leaders, engineers, and end users aligned, with no one-off reports required.
Walk away with real-world blueprints you can adapt for your own organization.
Key takeaways:
- How to use Jira Product Discovery Premium as a product operating system that replaces fragmented tools with one source of truth
- Techniques for building roadmap views that serve leaders, engineers, and business users simultaneously – without extra reporting overhead
- Practical patterns for connecting strategic goals to delivery outcomes and making the value of your product work visible and measurable
From strategy to impact: Jira Product Discovery in practice
Adopting AI at scale requires trust, governance, and clear guardrails. Hear from Atlassian and Docusign on how to evaluate and roll out Rovo with confidence, and how Atlassian designs AI responsibly while helping you grow AI literacy across the organization. Get step-by-step guidance on admin controls to set guardrails, manage data access, maintain visibility, and enforce industry-standard security and compliance, so every team can use Rovo safely today, and build a future-proof strategy that helps your organization navigate future complexity and risk while maximizing AI benefits.
Key takeaways:
- Learn how to effectively evaluate and adopt Rovo with confidence using responsible AI principles.
- Build AI literacy and governance across your organization.
- Learn how to Use admin controls to set guardrails, manage access, and maintain compliance.
Best practices for designing a secure AI environment
Explore the modernized Confluence experience with powerful new tools and integrations. From automation and admin features to Jira and Loom connections, learn how to streamline workflows, leverage databases, and use Smart Links. Discover AI updates, customization tips, and tricks to create a dynamic company hub that transforms collaboration.
The Future of Confluence: Tools, tricks, and transformations for every type of team
The California Department of Health Care Services (DHCS) has evolved from managing work in silos to running a connected, enterprise-wide operating model using Atlassian. In this session, DHCS will share how they leverage the Atlassian Strategy Collection to bring together idea management, goals alignment, and execution visibility across one of the largest public health organizations in the United States.
Attendees will learn how DHCS uses Atlassian to capture frontline ideas, prioritize initiatives against strategic outcomes, and connect day-to-day project delivery back to executive level goals. By integrating strategy, work management, and reporting, DHCS has created a repeatable framework that improves transparency, accountability, and decision making across programs, departments, and leadership layers.
This session will showcase DHCS’s journey toward enterprise maturity with Atlassian highlighting lessons learned, governance considerations, and practical guidance for organizations looking to scale Atlassian beyond teams and into a true system of work. Customer speaker: California Department of Health Care Services (DHCS).
Key takeaways:
- How DHCS uses Atlassian Strategy Collection to connect ideas, goals, and execution across a large, complex organization
- Practical approaches to scaling Atlassian for enterprise-wide work and project management
- Lessons learned on governance, adoption, and aligning teams around shared outcomes
How California’s Department of Health Care Services aligns strategy and delivery with Strategy Collection
2:45 pm
2:45 pm
Ideas are easy – turning them into clear, aligned, and actionable work is where teams struggle. Create and edit with Rovo in Confluence closes that gap, helping you go from prompt to polished output in seconds.
In this session, you’ll see live demos of how Create with Rovo in Confluence uses AI to draft and refine the content that powers your work. From product requirement docs to marketing campaign plans, learn how to let Create with Rovo do the heavy lifting so your team ships clearer, more consistent work faster.
Key takeaways:
- See real demos of how Create and edit with Rovo in Confluence can get you out of manual and time consuming processes.
- Learn how Create and edit with Rovo can automatically pull in context from Jira, Loom, and your favorite third-party apps and tools.
- Get a sneak peek into how this AI‑driven way of working sets the stage for more flexible, visual, and adaptive content experiences in Confluence.
Confluence AI power moves: From idea to impact in seconds
In this session, we’ll dive deep into the art of the possible with custom Rovo Agents to show how you can scale self-service and reduce inbound support tickets through knowledge- and scenario-based experiences. Learn how to create agents that guide customers to faster resolutions, improving deflection while maintaining a high-quality support experience. We’ll also demonstrate how Atlassian’s own IT team is using Rovo to streamline key support workflows like ticket classification and response.
Key takeaways:
- Learn the steps to design, launch, and optimize AI agents that enable seamless self-service deflection.
- Get practical tips for measuring AI agent impact: MTTR, employee satisfaction, and more.
- See real-world examples of how Atlassian uses Rovo to accelerate agent productivity.
Rovo agents in action: Accelerating self-service deflection and support productivity
Join this learning session exploring Jira Plans, a powerful project management tool to help your teams plan, track, and visualize work across multiple projects. Led by Atlassian expert Alex Ortiz, you’ll be guided through key features such as dependency management, scenario planning, and capacity visualization, empowering you to forecast potential roadblocks and optimize team workloads. This session also provides expert tips for integrating Advanced Roadmaps with your existing Jira workflows, ensuring seamless alignment between strategic goals and day-to-day project execution.
Jira Plans (Advanced Roadmaps) for project management
As organizations navigate rising cyber, regulatory, and governance pressures around AI, the stakes for securing data and collaboration have never been higher. In this session, Atlassian will share how Atlassian Guard empowers your teams to achieve more by protecting what matters most – your data.
Join our head of product, Rob Bissett, and a customer guest as we walk through how we’re strengthening the future of AI collaboration and empowering your teams to adopt AI with confidence.
Securing the future of AI collaboration
In this session, Atlassian Chief Sustainability Officer Jess Hyman and Atlassian Williams F1’s Head of Sustainability Amanda Martins show how their teams use Teamwork Collection to run complex, high‑pressure programs – where the work is climate today, but the patterns apply to any mission‑critical initiative.
You’ll see how Confluence, Jira, Loom, and Rovo are the collaboration backbone that connects strategy to execution – aligning leadership, operations, and partners; turning science‑based climate targets into trackable work; and handling complex customer and regulatory requests at scale. Sustainability is the proving ground – but the real story is how any organization can use Teamwork Collection and AI‑forward experiences to coordinate global teams, make faster decisions, and move work from idea to impact.
*Session curated for Enterprise Leadership
Racing to net zero with Teamwork Collection
3:45 pm
3:45 pm
AYSTAJA is back at Team ’26, and this time it’s not just a quiz — it’s a live, interactive showdown!
Expect fast-paced, scenario-based questions pulled straight from real-world Jira admin chaos. Expect trickier twists, deeper edge cases, and moments where you’ll confidently pick an answer… and immediately question all your choices.
But this isn’t a sit-back-and-watch session. This is a crowd-powered experience.
We’ll warm up the room, get everyone involved, and yes, you might find yourself chanting along before the quiz even starts. Think less “conference talk” and more “community jam session,” with Jira workflows, permissions, schemes, and admin gotchas taking center stage.
Whether you’re a seasoned Jira admin or an aspiring one, this is your chance to:
- Test your instincts under pressure
- Learn while having fun
- Compete for bragging rights on the leaderboard (and a shiny medal + free certification vouchers)
- And be part of one of the most energetic rooms at Team ’26
Hosted by Atlassian Expert Sajit Nair, in collaboration with the Atlassian Community & Learning team, this is your reminder that learning Jira doesn’t have to be quiet – it can be loud, chaotic, and ridiculously fun.
Bring your brain. Bring your voice. Let’s see if you’re really smarter than a Jira admin.
Are you smarter than a Jira admin? – Round 2
AI is writing code faster than teams can review it. And when things break in production, responders are still stitching together context across six tools at 2 a.m.
It’s time to fix both sides.
See how Rovo Dev turns code review from a bottleneck into a safety net – enforcing your team’s standards on every PR, flagging security risks, and auto-fixing issues before they ship. Then watch Rovo Ops in Jira Service Management act as your incident co-pilot – triaging alerts, finding similar past incidents, and drafting your post-incident review so you can focus on fixing, not documenting.
One platform. From pull request to post-incident review and back again.
Beyond the pull request: AI-native code review and incident resolution
Everyone wants fewer, better meetings, but most teams don’t have a real system for getting there. We’ll explore plug-and-play frameworks, scripts for “this should be a Loom, not a meeting,” and practical frameworks in Confluence, Jira, and Loom. You’ll see how to move pure info-sharing into quick Loom pre-watches, keep live discussions focused with Confluence whiteboards, and close every session with documented decisions and clear next steps in Jira.
We’ll unpack the most common meeting types like info-sharing, decision-making and debate, brainstorms, reflections, and 1:1s, and show you how to redesign each so it takes less time and produces clearer outcomes. The result: fewer status calls, more async clarity, and meetings that are shorter, clearer, and create reusable information Rovo can act on to keep work moving – freeing up real hours for real work.
Key takeaways:
- A repeatable system to redesign your meetings so they’re shorter, clearer, and produce reusable knowledge Rovo can act on
- Practical facilitation patterns in Confluence whiteboards, Loom, and Jira that you can plug into your next sprint
- Facilitation patterns and templates for immediate use
Your meetings need a makeover: Learn the frameworks in Confluence, Jira, and Loom
In the AI era, your role as an admin has fundamentally changed. You’re no longer just a “gatekeeper of access,” but a strategic leader for driving growth through operational excellence, strong governance, and thoughtful AI adoption. As organizations grow, the complexity of users, data, and applications means the solo admin era is not scalable. As administration increasingly becomes a team sport, admin teams require a shared framework that balances essential control with the agility to innovate.
In this session, you’ll learn how to succeed as an admin team in the AI-first world using the latest tools and controls to modernize administration and demonstrate clear, measurable impact in these core admin foundations:
- Move beyond reactive troubleshooting. Learn how to architect a proactive infrastructure that anticipates growth and aligns with your long-term organizational goals.
- Security and governance shouldn't be a hurdle to speed. Discover how to implement automated, transparent guardrails that empower users while protecting your most sensitive assets.
- Demystify AI adoption with clear usage visibility and controls. See how to build a trust layer for AI tools grounded in data integrity and verifiable results.
- Modern admin work is a team effort. Explore how new admin roles and Rovo enable people, agents, and systems to work together. Discover tools to delegate safely and empower teams, so you can focus on driving growth and scaling best practices.
Elevating admins: Shape, secure, and transform your system of work
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Introducing Solution Keynotes
These featured presentations highlight what’s new with Atlassian products + solutions. Dive into key features, demos, and actionable insights to take back to your team.
Service Collection
Shatter the service quo
Strategy Collection
Strategy Collection keynote: Drive strategy with AI insights
Secure your passes today!
Don’t miss your chance to learn, connect, and have fun with the global Atlassian community.
Don’t wait! Prices will increase April 14th.