I’m stoked to be back in Anaheim, California for Team ’26 with thousands of our customers. Together, we’re facing the most significant reimagining of work in our lifetime—one that has only accelerated since we were last here.
This is crazy exciting. We’re seeing a new kind of organization emerge: the AI‑native organization, where teams are co‑creating alongside agents. In just the last six months, we’ve seen a 7x increase in agentic automations across our customers. Organizations from Mercedes‑Benz to Docusign to Teach For All are employing Rovo agents in their daily workflows, accelerating work and accelerating teams.
They’re succeeding because they’ve figured out the formula. In 2026, it’s not just the latest frontier model; anyone can get ‘smarts’ by the token. What’s giving organizations a real edge is their own institutional knowledge, the critical fuel for AI.
And when it comes to context, Atlassian customers are sitting on a goldmine.
Acceleration = Context x Intelligence
Atlassian’s customers have one of the richest, most connected context graphs in the entire world. Our Teamwork Graph is not just a database; it’s the connective tissue between your people, their work, and their tools. It’s the institutional memory of every project you’ve worked on to date—not only in Atlassian’s apps, across all the connected tools your organization uses. That might include your workflows in Jira, designs in Figma, code in GitHub, people in Workday, and your thinking shared in Confluence or Loom. Whatever apps your organization relies on to get work done, it’s there in your graph—along with every trade-off and bit of hard-won nuance only your team understands.
With over 150 billion connections, the Teamwork Graph gives humans and agents the context to search, reason, and act securely across tools and teams. And with the continuous creation of your company’s collective intelligence, your system of work gets smarter each day.
At Team ’26, context is the key to helping our customers’ teams move faster and smarter. We have a wave of announcements focused on harnessing this context and bringing it to every surface where teams are working.
As we move towards an AI-native future, we’re evolving how we build at Atlassian, so you won’t have to wait six months for more. Instead of saving up big launches a couple of times a year, we’re building and shipping in public, every day, alongside our customers. We can’t wait to share what we learn as we go.
Buckle up for what’s new, and LFG!
Mike
Rovo makes AI-native teamwork real
Rovo brings context-rich AI to everyone in your organization. Teams of all stripes see its power: Rovo is used by 75% of the Fortune 500 and more than 90% of our enterprise customers. It’s already in heavy rotation with more than 14 million Rovo‑assisted actions just last month.
This week, we’re dialing up what Rovo can do:
- Rovo Studio is your unified builder hub for putting AI to work. We’ve got a new Studio experience now generally available so that anyone (not just power users or engineers) can turn their ideas into agents, automations, and apps.
- Max (coming soon) is a new reasoning mode in Rovo Chat that you can point at messy, real-world work. It breaks down big, complex asks into multi-step plans, runs them end-to-end, and shares outputs the whole team can build on.
For all teams: AI everywhere you work
AI should already be in your workflow, know your context, and surface what you need before you ask:
- With the general availability of Agents in Jira, we’re bringing AI agents right where teams plan and track work. Teams can assign work to Rovo and third-party agents, iterate with agents in comments, and embed them directly into their workflows.
- Texts, tables, and lists in Confluence can now be reshaped by Remix with Rovo (now available in beta) into infographics, charts, databases, and now Confluence slides (coming soon) without leaving the page. And because it all sits on the Teamwork Graph, the final product has the right context pulled in.
For software teams: AI across the SDLC
We’ve spent the last twenty+ years building for software teams, and AI is now rewriting the SDLC faster than anything we’ve seen in that time. Our job is to turn the context you already have into an advantage:
- Teams can assign and track work for Rovo and third‑party coding agents with Agents in Jira. Every agent interaction is auditable, traceable, and governed in Jira, turning “single‑player” prompts into a multiplayer workflow your whole team can see.
- Now in early access, Code Intelligence in Rovo lets engineers and agents ask intent‑level questions across complex, multi‑repo environments, not just grep for strings. By combining your source graph with context from Jira, Confluence, and more, Rovo can answer questions like, “which services still use an outdated UI pattern and who owns the migration plan?” in one place.
- With all this AI investment, engineering leaders need to understand the ROI. DX, which joined Atlassian last year, now offers an AI experience that tracks AI transformation. With Agent Experience, AI Code Insights, and AI Pulse, teams can see where AI is generating code, how agents are performing, and how they’re impacting productivity and reliability, turning AI from a black box into a measurable, governed part of the SDLC.
Context for humans and agents: Opening up the Teamwork Graph
We’ve made a deliberate, architectural decision to open the Teamwork Graph up so every AI tool your teams use—whether it’s ours, a partner’s, or anything else in your stack – can run on the context you’ve already built. Today, customers can start in two powerful ways, both in open beta:
- Teamwork Graph CLI is Atlassian’s agent-first command-line interface that gives your most technical users and their AI coding agents direct access to your organization’s Teamwork Graph, while admins retain tight control over scopes and permissions.
- Teamwork Graph tools in Rovo MCP Server give any MCP‑compliant agent, copilot, or automation a standard, secure way to run on your Teamwork Graph, so they act with live ownership, history, and relationships.
Most of your day already happens in tabs. Dia, which joined the Atlassian family just last year, lets you act on the context across them—plus the magic of your Teamwork Graph. Now, it can proactively create a Morning Brief for you by pulling from all your overnight Slack conversations, your calendar, and action items assigned to you (while you sleep!).
- We’re also excited to share that Dia is ready for teams of all shapes and sizes, with layered defenses against prompt injection, single sign-on, Chromium MDM support, and SOC 2 Type II attestation. Dia is already used by Atlassians worldwide, and has just started a closed beta for additional advanced enterprise features including a Guard integration that will be available soon.
There’s a ton more to discover too – from the new Feedback app for product teams which joins Jira Product Discovery in our newest Collection, the Product Collection, and updates across Service and Strategy Collections.
Head here to check out all the Team ‘26 customer sessions and deep dives. A massive thank you to every Atlassian customer, partner, and teammate who’s along for the ride.
