Axel Springer, the European media and tech powerhouse behind Business Insider, Politico, Idealo, and more, needed a way to boost developer velocity across dozens of autonomous engineering teams without disrupting existing workflows. Enter Rovo Dev.

In this session, hear firsthand how Axel Springer’s Head of Product Excellence, Martin Bild, rolled out Rovo Dev’s AI-powered code reviewer and CLI across the organization, and built an end-to-end automation pipeline from Jira ticket to pull request. Learn how their developers are saving 2.5-3 hours per week on code reviews and development tasks, what it took to drive adoption in an enterprise environment, and the practical lessons any engineering leader can apply to bring AI into their software development lifecycle today.

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

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.

What does it take to maintain a founder’s mindset when your organization scales from a garage to a global powerhouse?

In this candid closing keynote, Atlassian CEO and co-founder Mike Cannon-Brookes sits down with Reddit co-founder and Seven Seven Six investor Alexis Ohanian to talk leadership and teamwork amid the rapid technological shifts brought by AI.

Drawing on their founder journeys—from building iconic community-driven platforms to investing in the next frontiers of tech—Mike and Alexis will share their own experiences: from backing the “iconoclasts” who changed the trajectory of their businesses, to empowering teams to move faster, think bigger, and trust their inner builder.

You’ll walk away with strategic advice on how any leader, at any scale, can foster a culture of continuous reinvention.

And you’ll definitely hear some stories.
 

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

Teamwork is messy. AI might make it even messier. Join Atlassian’s Chief Design Officer Charlie Sutton and Figma’s Chief Design Officer Loredana Crisan as they share how they’re designing for that reality, not against it.

The best ideas come from false starts, conflicting opinions, and rapid iteration. Design shouldn’t get rid of that mess, because the mess is necessary. It’s where magic happens.

Design should get rid of the friction around the mess: busywork, duplicate effort, and a sprawl of tools and agents. Good design should make teamwork feels like a creative act, not a chore.

Charlie and Loredana will share how Atlassian and Figma are stripping away that friction. You'll learn about human+AI experiences built on decades of teamwork insights and the Teamwork Graph and hear how design can protect human agency and empower teams to move faster, decide better, and build work they're proud of.

*Session curated for Enterprise Leadership

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.

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

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.

What does it take to turn product strategy into measurable, organization-wide impact? Three product teams from Maple Health, Erie Insurance, and a renowned California university 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. A renowned California university 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

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

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.

As AI reshapes how work gets done, how we collaborate matters more than ever.

Join Avani Prabhakar, Chief People & AI Enablement 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

Atlassian’s 2026 State of Teams report reveals a growing gap: while AI is accelerating the speed of work, most teams are struggling to keep that work aligned. As execution speeds up, coordination is breaking down – creating what we call the “AI fragmentation tax.”

In this inside look, Atlassian leaders share how Finance, Legal, HR, and Security are navigating this transformation in practice. Drawing on insights from the State of Teams report, this session explores how leaders are building trust, guiding responsible use, and turning early experimentation into durable ways of working. Panelists will highlight how AI is being integrated into their day-to-day operations – from financial processes and legal workflows to people programs and security practices – and what it takes to deliver real outcomes.

Whether you’re leading transformation or operationalizing AI within your team, this session offers a practical view of how leadership and AI-embedded workflows come together to drive impact at scale.

*Session curated for Enterprise Leadership

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.

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

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.

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.

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.

The walls between product and engineering are collapsing. PMs are shipping prototypes. Engineers are shaping strategy. A new kind of professional is emerging, the product builder. In this session, we explore the full loop of AI-native software delivery, from customer insight to shipped software.

Learn how to orchestrate a high-velocity delivery loop from insight to impact. We’ll showcase how the new Product Collection transforms raw customer signals into validated intent, while AI operates as the agentic execution layer where humans and agents (including 3P agents like Claude Code) collaborate directly within Jira.

Finally, we’ll reveal how to measure the effectiveness of your AI environment. Move beyond single-player copilots to a coordinated, measurable, and resilient agentic delivery engine.

One year ago, Wendy’s began championing Atlassian tools to modernize teamwork and accelerate product launches. Today, their restaurant operations, IT, and business teams collaborate using Loom for QA reviews and meeting recordings, Confluence databases to centralize CRM data, and Rovo to automate ticket creation and connect workflows. Learn how Wendy’s manages new product launches, from Frostys to hamburgers, using Confluence, Jira, Loom, and Rovo.

Key takeaways:

• How Wendy’s accelerated product launches by unifying business and technical teams onto Atlassian apps
• Real-world examples of using Loom, Confluence, Jira, and Rovo to replace legacy tools and manual processes
• Lessons for driving adoption and scaling Atlassian apps across both technical and business teams

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 is a force multiplier for both productivity and risk. As organizations race to adopt AI under growing security and compliance pressure, the hard part isn’t getting access to the technology; it’s using it safely.

In practice, AI amplifies how your information is handled today. If data is overexposed, AI can scale that risk instantly. If your fundamentals are strong, AI becomes a real advantage.

At the same time, we’re seeing a rush across the market to layer point solutions onto already complex environments. But AI doesn’t operate in silos. It runs on the same identities, permissions, and data you manage every day. That’s why Atlassian takes a holistic, end-to-end approach to information protection.

In this breakout, Rob Bissett, joined by Sudhanva Ramesh, VP Enterprise Transformation & Agile Strategy at Synchrony Financial, will walk through Atlassian’s approach to information protection across the platform: from infrastructure and deployment options, to data security and compliance, and finally the AI-specific controls built on top.

We’ll showcase new Guard capabilities and AI controls.

Key takeaways:

• Why data security is the fastest path to safer AI: if your data and access controls are weak, AI will amplify the resulting risk.
• How Guard helps you reduce data risks through capabilities like sensitive data discovery, classification, policies, audit logs, and threat detection (plus what’s new & coming soon!).
• How customers are approaching AI adoption today: what they did first, what they wish they did sooner, and what helped them move faster with confidence.

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.