Welcome back to Team Talk for our AI Day, an interactive live session that sets the stage for everything AI. Hear from Atlassian's Teamwork Lab as they unpack surprising research findings, explore why most organizations aren't seeing results yet, and reveal what top-performing teams are doing differently.

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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.

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Discover how AI is reshaping product management and our interaction with technology. Atlassian’s product and design experts will share their vision for designing software in the AI era, exploring new possibilities and the future of human-AI collaboration.

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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.

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Join a live interview with Atlassian leaders as they share the latest on Rovo and the Teamwork Graph, and what it means for truly AI‑native teamwork. Explore how human‑AI collaboration can unlock smarter decisions, faster execution, and more connected teams.

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Join Atlassian and Kraken to see how Rovo Skills turn your team's best processes into reusable, scalable building blocks. In this session, you'll see how any team can go from manual steps to a fully automated workflow that can handle your specific processes in seconds by composing Skills into Agents and Automations, all powered by Atlassian's Teamwork Graph. No matter what team you're on, discover what's possible when you use Atlassian as a platform for building AI-driven workflows while people stay in the driver's seat to review, refine, and decide.
Key takeaways
Walk away with a repeatable playbook: pick one painful workflow, turn it into a skill, and give your whole team superpowers.
See the different surfaces where skills come to life - answering questions in Chat, an agent taking action across tools, and an automation running it all without anyone having to remember.
Hear how Kraken is already using this pattern to move work forward faster without giving up human control.

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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

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In this live conversation with Atlassian experts, we’ll dig into how to build agents with Rovo Studio, the future of agents, and what agentic workflows mean for the way teams get work done. Together, we’ll explore how intelligent agents can automate complex tasks, augment human decision‑making, and unlock a new level of productivity.

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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.

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Close out Team ’26 with your Team Talk hosts.

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