Atlassian widens AI push with Teamwork Graph & Rovo
Mon, 11th May 2026 (Today)
Atlassian has unveiled a set of artificial intelligence updates centred on its Teamwork Graph and Rovo products, aimed at giving AI agents broader organisational context.
The announcement includes wider access to the Teamwork Graph, which Atlassian describes as a shared context layer across work systems, and the general availability of Rovo Studio, a no-code tool for building AI-driven workflows and apps.
Atlassian says the Teamwork Graph now contains more than 150 billion connections between people, teams, projects, documents, work items and decisions. It is extending the graph beyond its own software so developers, administrators and external AI tools can draw on the same context.
Two new routes into that data are launching in open beta. One is Teamwork Graph CLI, a terminal interface for developers, admins and coding agents working across code, incidents, documents and goals. The other is Teamwork Graph Tools in MCP, which will let any MCP-compliant agent, copilot or automation product use signals from the graph, including third-party products.
The move reflects a wider industry push to make AI systems more useful inside large organisations by linking them to internal records, workflows and chains of responsibility. Rather than relying only on prompts or isolated files, companies are trying to give AI systems access to the history and structure behind day-to-day work.
Mike Cannon-Brookes, chief executive officer and co-founder of Atlassian, framed that as the core issue for businesses adopting AI.
"In 2026, anyone can buy 'smarts' by the token," said Mike Cannon‐Brookes, Chief Executive Officer and Co‐Founder, Atlassian. "The real moat is your institutional memory: every plan, document, and decision your teams have ever made. Rovo is the interface that turns intelligence and context into actual momentum for your business."
Rovo expansion
Alongside the Teamwork Graph changes, Rovo is now used by more than 75% of Fortune 500 companies, according to Atlassian. It also says 90% of its enterprise cloud customers are using the product, suggesting adoption has spread across larger customers since launch.
Rovo Studio is now generally available. Atlassian says it allows non-developers as well as technical staff to create agent-based workflows, set automations triggered by events and build custom applications, with controls including roles, approvals, versioning and insights.
Atlassian is also adding more AI features across its existing product lineup. Agents in Jira are now generally available, while Loom is gaining agent briefings that turn walkthroughs into structured Jira work items. The company also highlighted Remix with Rovo and a planned Confluence feature that turns pages into visual presentations.
Another addition is Max in Rovo Chat, which lets users assign more complex, multi-step tasks to the system. Atlassian says Rovo can work across Atlassian products and third-party tools, carry out plans and adjust its approach when needed.
Broader product push
The AI announcements sit alongside a broader product update across what Atlassian calls its System of Work. In product management, the company is launching Product Collection, which expands Jira Product Discovery from gathering customer input and prioritisation into strategy and delivered outcomes. JPD Enterprise is also now generally available for larger organisations.
On the engineering side, Atlassian introduced several developer experience updates tied to AI use in software teams. Agent Experience is designed to help teams identify friction in requirements and codebases. AI Code Insights is intended to show how AI-generated code is being used across an organisation, while AI Pulse is meant to provide managers with signals about team productivity.
Atlassian also introduced Dia Reports, described as browser-native briefings that combine Teamwork Graph data with tools people use in their browser. The reports can be tailored for tasks such as interview preparation and decision briefings.
The breadth of the launch shows how Atlassian is trying to position AI not as a separate assistant, but as a layer woven through planning, software development, collaboration and reporting. That approach also reflects pressure on workplace software companies to show that AI can move beyond chat interfaces into operational tasks linked to existing systems of record.
Atlassian already has a large installed base to target with these features. The company says its software is used by more than 85% of Fortune 500 businesses and by more than 350,000 customers worldwide.
For Atlassian, the latest changes amount to a bid to make organisational memory and workflow data central to how AI operates inside the workplace, with the Teamwork Graph serving as the connective layer behind that effort.