What are session types?More details to come.
MaSonya Scott (Atlassian)
When a legacy ITSM platform becomes too expensive, too slow, and too rigid, something has to give. That’s why Axpo — Switzerland's leading energy company — decided to migrate 4,000+ users to Jira Service Management in just 4.5 months. The hardest part of that transition? Learning that copying old processes into a new tool doesn’t always translate.
Hear how Axpo tested its legacy-platform exit against real workflows, made difficult tradeoffs during a greenfield rollout, and built enough momentum for other parts of the business, including HR, to follow. Its IT platform is now evolving into a Service Engineering Platform, with CMDB schemas, SLAs, and routing rules versioned in Git and deployed through continuous integration and delivery.
This is an honest, in-progress account that covers the technical debt and limitations that surfaced along the way, as well as the path ahead toward AI agents and infrastructure as code.
Key takeaways:
- How to validate a legacy platform exit against real workflows before committing the business case
- Discover how to navigate the tradeoffs and technical debt of a 4.5-month migration
- How to transform Jira Service Management into an engineered platform by managing CMDB schemas, SLAs, and routing rules as code via CI/CD
Alex Temperli (Axpo)
The adoption of coding agents is reshaping how software gets built, but productivity gains are starting to level off. As AI makes code generation faster, friction shifts from writing code to other parts of software delivery, including gathering context, planning, orchestration, code review, and governance.
In this session, we’ll show how Atlassian is helping organizations improve AI-powered workflows by grounding agents in organizational context and intent. We’ll follow a workflow that starts with customer discovery, where AI turns customer feedback signals into product and development ideas, and continues through planning and orchestration, delivery, and measurement. Along the way, we’ll show how Jira provides the coordination layer for managing human-agent workflows and how DX helps teams understand where to refine and optimize them.
During this session, you’ll learn how to:
- Reduce prompt engineering, improve accuracy, and lower costs by giving agents the right context
- Scale multi-agent workflows with quality gates and your organization’s standards built in
- Connect customer discovery, planning, code generation, review, delivery, and measurement in one AI-assisted workflow
- Measure AI impact on delivery speed, quality, and ROI with DX
Gosia Kowalska (Atlassian), Justin Reock (Atlassian), Ming Wu (Atlassian)
Beyond Excel: Reimagining industrial field service operations at Siemens Energy
In steam turbine field service, a single missed handoff can trigger costly delays — yet the industry has long relied on Excel spreadsheets, paper forms, and email chains that were never built for this level of complexity. In this session, Siemens Energy, a global leader in energy technology, and implementation partner HiQ share how they reimagined field service operations within Jira Service Management, achieving 3x faster throughput with full visibility at every handoff.
You'll hear what drove the change, how the platform was architected for scale across a complex industrial environment, and how Rovo and automation are now layered on top to build a system that doesn't just work, but learns.
Key takeaways:
- How to map a complex industrial field service process onto Jira Service Management, without losing the operational nuance that keeps turbines running
- What actually drove the transformation, and what almost got in the way
- Practical patterns for layering AI augmentation onto a stabilised service workflow, with real examples from production
Johannes Tegethoff (HiQ), Ulrich Tschakert (Siemens Energy)
Go behind the scenes with the Williams F1 team in a live conversation about how they collaborate at top speed. Hear how they use Atlassian to orchestrate complex work, move faster, and unleash their full potential on and off the track.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Most teams still run the same manual workflows: chasing status updates, re-entering information across tools, and losing hours to low-value coordination work. The opportunity isn't just to automate team tasks, it's to entirely redesign how work gets done with agentic workflows that think, connect, and act across your whole system of work.
Join Atlassian and Flo Health as they share a practical, step-by-step approach to designing high-impact agentic workflows using Rovo Studio, no coding experience required.
You'll learn how to:
- Identify the right opportunities in your everyday processes.
- Write clear instructions that make workflows perform reliably.
- Leverage your organization's existing knowledge to make every workflow smarter over time.
Finally, explore how agentic workflows built in Rovo Studio can extend across surfaces and tools beyond Atlassian, meeting your teams wherever work actually happens.
Key Takeaways
- Learn a repeatable framework for identifying high-impact opportunities inside your everyday processes from intake and triage to cross-tool handoffs.
- Explore how to build, test, and expand agentic workflows that go beyond single tasks: connecting tools, surfaces, and teams into one seamless flow, without code.
- Walk away with real-world examples, clear instruction-writing techniques, and a practical guide for rolling out agentic workflows your whole team can use and evolve.
Shihab Hamid (Atlassian), Sushant Koshy (Atlassian)
Build an AI-native SDLC in Jira: How Atlassian did it and how you can too
AI agents can take on meaningful work across the software delivery lifecycle, but getting real value from them takes more than adding an agent to your workflow. Teams need to rethink how work is planned, executed, and reviewed across the lifecycle. In this session, technical teams will see how Atlassian built a complete, AI-native software delivery loop in Jira: turning scattered context into agent-ready plans with Jira’s new AI Planner experience, delegating work to humans and AI, and reviewing outcomes with intent and decisions baked in. You’ll see the full workflow in action and learn how to apply the same principles to your own team and tooling.
Key Takeaways:
- Turn scattered product, engineering, and customer context into agent-ready Jira plans with clear ownership
- Decide what to delegate to agents vs. keep with humans, and where to add guardrails and approval checkpoints
- Review and iterate agent output with rationale and learning loops connected back to Jira as your system of record
Chelsea Bullock (Atlassian), Matthew Canham (Atlassian)
Join us to close Team '26 and hear from customers who are reimagining what becomes possible when every person, project, and piece of work is finally connected — then stay for a surprise guest we think you'll love.
Closing the context gap: From local coding sessions to verified delivery
The most important work in an AI-native software team often happens in terminals, IDEs, source control, and local agent sessions. But when context does not travel with the work, developers waste time reconstructing intent, while reviewers struggle to understand what changed, why it changed, and whether it is ready to progress. Teams gain speed in one part of the lifecycle, only to lose it through rework, manual coordination, and slower reviews.
Atlassian closes the context loop.
In this session, we will show how Jira and Teamwork Graph connect planning intent, local development decisions, organisational standards, and verification evidence across the software development lifecycle. It starts with immediate value for developers in the local loop, then compounds into stronger coordination and higher-confidence review on the “right of code.”
You will learn how to:
- Bring work intent, prior decisions, and related delivery context from Jira and Teamwork Graph into the tools where developers and agents already work
- Capture meaningful progress and implementation decisions back in Jira, reducing manual status updates and artifact linking while maintaining governance
- Ground AI-assisted review in intent, implementation evidence, and organisational standards, then surface risk assessments in Jira so reviewers can focus their attention, fast-track low-risk changes, and ship with confidence
Natalija Fuksmane (Atlassian), Ryan Jiang (Atlassian)
The EU is reshaping the rules for Cloud and AI faster than any other region. For enterprises operating in regulated industries, these changes directly shape deployment decisions, vendor trust, and product roadmaps. Clarity on what's coming and how to address new requirements is a strategic imperative.
Join us for a panel discussion on the latest wave of EU regulation with Atlassian's Head of Public Policy, Aaron Kleiner, a leading EU-based technology company, and a global software policy & advocacy organisation. We will dive into topics ranging from the AI Act to emerging cloud legislation - and what it means for enterprise software buyers and builders. Hear how Atlassian is responding to new obligations, how industry coalitions are shaping policy outcomes, and how your organisation can start preparing today.
Key takeaways:
- A clear map of the EU tech regulatory landscape and the legislation most likely to impact your cloud and AI decisions in the next 12 months
- How Atlassian and industry peers collaborate to advocate for workable, innovation-friendly policy
- Practical steps to anticipate regulatory shifts and factor them into your enterprise trust and migration strategy
Aaron Kleiner (Atlassian), Thomas Boué (Business Software Alliance)
The teams winning right now aren't waiting to figure it out. Join Atlassian leaders to hear their vision for how teams will work, grow, and win in a world where human and AI collaboration changes everything.
Mike Cannon-Brookes (Atlassian), Sherif Mansour (Atlassian), Tamar Yehoshua (Atlassian)
Join the Team Talk hosts for a quick recap of the Founder’s Keynote, then head to the expo floor in Amsterdam for a look at the energy, booths, and more from the show floor. Then hear what else is in store for the rest of the day.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
From Data Center to trusted AI: How Lloyds Banking Group is transforming engineering in a regulated world
For heavily regulated organisations, digital transformation goes beyond modernising technology. It’s about building the foundations for innovation while maintaining security, trust and compliance at every step.
In this presentation and fireside chat, Hilary Lanham, Head of Engineering Productivity Services at Lloyds Banking Group, and Amit Gupta, SVP of AI & Cloud Transformation at Atlassian, share how UK's largest bank migrated Jira and Confluence from Data Center to Cloud - moving 33,000 users and 7.2TB of data with no degradation in service - and then used that modern foundation to unlock AI at scale.
Hear how Lloyds introduced Atlassian Rovo, established a practical governance framework for responsible AI adoption, and created the guardrails needed to accelerate innovation while meeting the stringent security and regulatory requirements of a global financial institution.
Key Takeaways:
- See how Lloyds migrated Jira and Confluence to Cloud at scale while maintaining resilience and user confidence
- Learn how Lloyds uses Rovo and contextual AI to improve engineering productivity
- Gain practical insights on change, adoption, and building an AI-ready foundation in a regulated environment
Amit Gupta (Atlassian), Hilary Lanham (Lloyds Banking Group)
From Loom to live in hours: Inside the Rovo-powered SDLC at Atlassian Williams F1 Team
Everyone bought the AI coding tools… then watched throughput flatten because typing code was never the real bottleneck. In this breakout, Chelsea Bullock and Richard Sworder show you how Rich's teams at Atlassian Williams F1 Team actually solved this in a high-complexity, high-stakes development environment. We'll walk the real loop live: a spoken Loom becomes structured Jira work, Rovo and the Teamwork Graph assemble context (with the expertise of in-house analysts but for no additional cost)-- with high token spend reserved exclusively for building-- then the solution ships through Bitbucket Pipelines with instant rollback. The result? Work once quoted at 2 months is now delivered in 2 hours. Come for the inspiration and stay for the practical plays you can run on Monday.
Chelsea Bullock (Atlassian), Richard Sworder (Atlassian Williams F1 Team)
From tools to transformation: Scaling org-wide impact through Atlassian’s AI Platform
AI is making individuals faster, but speed without coordination compounds misalignment and drives up costs. To unlock meaningful ROI, you need more than productivity tools. You need AI that understands how your organisation actually works, operates across departments, and is built with the governance to scale safely.
Atlassian’s AI platform combines the deep organisational context of the Teamwork Graph with cross-team orchestration and enterprise-grade governance, so AI goes beyond assisting individuals to driving outcomes for the whole organisation. Join us for live demos to see what’s new and how you can get value fast.
Key takeaways:
- Understand how Atlassian’s Teamwork Graph gives AI the organisational context needed to turn AI activity into real business outcomes
- Learn how teams can achieve faster, better, and stronger outcomes through connected AI workflows across all your apps
- How to scale AI confidently across your organisation, with the visibility, control, and data protection enterprises require
Jamil Valliani (Atlassian), Rob Bissett (Atlassian)
Discover how Temenos, a global banking software leader serving 3,000+ financial institutions, partnered with Atlassian Advisory Services to replace fragmented strategy tools with a connected system of work, leveraging Atlassian's Strategy Collection to create full traceability from corporate objectives to team-level delivery across multiple portfolios.
You'll walk away with practical strategies for scaling enablement in regulated enterprises, lessons learned, and actionable steps to drive enterprise-wide transformation using Strategy Collection capabilities.
Key Takeaways:
- Strategy-to-execution in one system: Learn how Temenos replaced fragmented tools with Jira Align as a single system of record, creating a clear line of sight from corporate objectives through strategic initiatives to team-level work items.
- Scaling enablement in regulated enterprises: Discover how five portfolios succeeded by focusing on role-based enablement rather than generic tool training.
- From consumer to product shaper: See how structured feedback loops turned Temenos into an active design partner influencing Atlassian's Strategy Collection roadmap.
Ernesta Paulin, Karan Madaan (Atlassian)
How we work is changing fast, and Confluence is at the center of it. Join Atlassian product experts for a fast-paced, live look at how new AI capabilities in Confluence, powered by Rovo and grounded in the context of the Teamwork Graph, are transforming the way teams create, connect, and act on knowledge.
Key Takeaways:
- See live demos of new AI-powered experiences in Confluence
- Discover how teams get more useful and actionable results using Rovo
- Leave with fresh ideas to bring back to your team
Aya Beaumont (Atlassian), Dustin Smith (Atlassian)
How University of Technology Sydney turns strategy into investment decisions
Strategic alignment is only valuable when it drives better decisions. Learn how University of Technology Sydney leveraged Atlassian Strategy Collection to connect strategic objectives, portfolio investments, value streams, delivery execution, and financial outcomes. By creating a single source of truth for value delivery, we enabled leaders to shift from project-based funding discussions to continuous, data-driven investment management.
Key takeaways:
- Align strategy, funding, and execution across the enterprise
- Gain real-time visibility into value delivery and investment performance
- Empower leaders with actionable insights for portfolio prioritization and funding decisions
Hassan Touheed (University of Technology Sydney (UTS)), Simon Jacobson (Atlassian)
When that context is connected across teams and workflows, AI can do more than make individuals faster. It can help work move across an organization with fewer gaps, faster decisions, less rework, and stronger execution across teams.
Drawing on the latest Teamwork Lab research into how context shapes AI effectiveness, this panel goes behind the scenes with leaders from Product, Legal, Marketing, and HR to show what that looks like in practice. We’ll follow real cross-functional work as it moves from team to team: the context each function receives, where AI accelerates the work, where human judgment matters most, and what gets passed forward to keep the work moving.
Key takeaways:
- Context is what turns AI adoption into enterprise impact. See how connecting goals, knowledge, decisions, and work helps AI create value beyond individual productivity.
- The best AI workflows combine speed with human judgment. Learn where AI accelerates the work, where people add what AI can't, and how the two work together across functions.
- Good governance travels with the work. See how teams preserve the right context, judgment, and guardrails through each handoff — rather than treating governance as a separate layer.
Alicia Lenart (Atlassian), Chelsea Bullock (Atlassian), Jackie Davis (atlassian), Rebecca Tu (Atlassian)
AI is only as useful as the context behind it. Without a unified, connected foundation, enterprise AI delivers fragmented insights, generic recommendations, and disappointing returns. The real question is not what your AI knows in the abstract. It is whether your AI understands how work actually gets done in your organization, how sellers qualify deals, how support engineers debug issues, how risk teams make decisions, and who is allowed to see what along the way.
In this session, Atlassian will introduce the Teamwork Graph as the context layer that makes AI genuinely useful at enterprise scale. You will hear directly from two customers operating in very different industries, with different tech stacks, workflows, and team structures, who will share how Rovo adapted to the DNA of their organizations from day one. Together, their stories illustrate a shared truth: regardless of how differently teams operate, connecting AI to real organizational context is what separates meaningful AI value from generic output. The session will walk through how to enrich and configure the Teamwork Graph, what makes it architecturally distinct, and how to extend that context across your toolchain.
Key Takeaways
- Discover how enriching the Teamwork Graph dramatically improves the accuracy, relevance, and everyday usefulness of Rovo across your organization's unique workflows and tools.
- See how two customers from different industries, with different tech stacks and operating models, each used the Teamwork Graph to get meaningful value from Rovo starting on day one.
- Leave with a practical framework for configuring context-aware AI that respects permissions, maintains enterprise governance, and scales without sacrificing performance or data privacy.
Hersh Iyer (Atlassian)
Reactive to ready: Building an AI governance strategy that scales with you
- Discover how leading enterprises are moving beyond reactive policy-setting to establish flexible, context-aware AI guardrails that hold up as technology evolves.
- Learn how to design protections that give teams the confidence to move fast across regions, confidential workflows, and regulated environments without sacrificing compliance.
- Leave with a concrete governance blueprint you can adapt and apply immediately to your organization's AI programs, tools, and agent-driven workflows.
Ashwini Rattihalli (Atlassian), Nisha Narasimhan (Atlassian), Toni Soldat (TeamViewer)
Join a live interview with Atlassian’s Service Collection leaders as they unpack the latest announcements and what they mean for an AI‑and‑human service world. Learn how service teams can blend intelligent automation with human empathy to deliver faster, more personalized experiences.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
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.
Edwin Wong (Atlassian), Shamik Sharma (Atlassian)
Last year, Atlassian’s first State of Product report revealed a paradox: product teams were adopting AI faster than ever, yet felt more disconnected from strategy than before. Burnout was up. Confidence was down. And the relentless push toward profitability was squeezing out the work PMs actually signed up to do.
So what’s changed? In this panel, Axel Sooriah (Atlassian) sits down with product leaders to unpack the findings from Atlassian’s second annual State of Product report. Drawing on survey data from 1,000+ product professionals, the conversation goes beyond the numbers — into what’s actually working inside high-performing product teams, where AI adoption is paying off (and where it’s still falling short), and what the best product orgs are doing differently to close the gap between speed and strategy.
Key takeaways:
• How the most effective product teams are using AI to reclaim strategic time — not just automate tasks
• Why the gap between product teams that experiment and those that don’t is widening, and what that means for outcomes
• What product leaders are doing to rebuild confidence and focus amid growing pressure to deliver business impact
Axel Sooriah (Atlassian), Ken Exner (Atlassian), Leon Harvey (Datasite)
AI is accelerating delivery, and every misaligned bet accelerates with it, exposing how disconnected strategy, funding, people, and work really are. See how Strategy Collection, with the Teamwork Graph and Rovo, connects goals, funds, teams, and work into one living operating model, so you can sense, decide, and reallocate in days, not quarters.
Key takeaways:
- Run the business from a connected operating model. Strategy Collection connects goals, funds, teams, and work, so a strategy change reshapes investment and delivery automatically, not a quarter of rework.
- Give agents strategic intent, not just speed. Rovo and the AI SDLC bring the speed; Strategy Collection keeps every agent tethered to the bet it serves, so acceleration has direction.
- Pull one governed lever when execution drifts. See risk, spend, and capacity in one view, then right-size, re-fund, and re-assign, with a traceable trail.
Asha Thurthi (Atlassian), Helen Lau (Commonwealth Bank of Australia), Monica Girolami (Atlassian)
More details to come.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
More details to come.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
The compounding advantage: Turning connected context into AI-powered acceleration with Teamwork Collection
Teams don't lack information - they lack the right, connected context to move their work forward. In this keynote, see how Atlassian turns scattered knowledge into a compounding advantage. Powered by the Teamwork Graph – unifying seven layers of context – accelerated by Rovo agents, we'll show how connected workflows across Jira, Confluence, Loom and Rovo unlock work and compound value so your teams and agents deliver better outcomes with every loop. All teams. Any project. On one foundation. Set a new standard for work with a collection designed for human+AI collaboration.
Claire Drumond (Atlassian), Sanchan Saxena (Atlassian)
Welcome to Team Talk, your live guide to the day ahead at Team Europe ’26. Get a fast overview of the biggest moments, segments, and activities so you know exactly what to watch for and how to get the most out of the live stream. Then, a conversation with an Atlassian Executive on Leading with Context, exploring how leaders can create clarity, connect teams to the bigger picture, and help people make faster, more confident decisions.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Welcome to Team Talk, your live guide to the day ahead at Team Europe ’26. Get a fast overview of the biggest moments, segments, and activities so you know exactly what to watch for and how to get the most out of the live stream.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Close out Team ’26 Europe with an unfiltered conversation featuring two Atlassian Community leaders. They’ll share what the community really took away from the announcements, sessions, and news from Team, and what it all means for customers on the ground.
MaSonya Scott (Atlassian), Sven Peters (Atlassian)
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