Surprisingly Useful AI Article Enhancements
Atlassian has opened up its Teamwork Graph – a dataset containing more than 150 billion connections mapping how teams work – so that its Rovo AI assistant and third-party agents can search, reason and act across tools and teams.
The move is part of a series of announcements made at Atlassian’s Team ’26 conference in Anaheim, aimed at embedding AI capabilities across the company’s product suite and positioning the NASDAQ-listed vendor for what it describes as the emergence of the AI-native organisation.
Rovo is already used by more than 75 per cent of Fortune 500 companies and 90 per cent of Atlassian’s enterprise cloud customers, according to the company.
Context as the competitive advantage
Mike Cannon-Brookes, Atlassian’s CEO and Co-Founder, framed the Teamwork Graph as the foundation that separates useful AI agents from generic ones.
“In 2026, anyone can buy ‘smarts’ by the token,” Cannon-Brookes remarked. “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.”
The Teamwork Graph connects people, work, goals, code and content across Atlassian’s own products and connected third-party applications. Atlassian is now making that context layer accessible to external AI tools through two new interfaces.
Opening the graph to external agents
The first is a set of Teamwork Graph tools delivered via the Model Context Protocol (MCP), now in open beta. The Rovo MCP Server gives any MCP-compatible AI client – Atlassian named Figma and Replit as examples – a standardised, secure way to access context held within the Teamwork Graph. The intent is to allow agents and automations from other vendors to operate with awareness of people, work, relationships and changes inside an organisation’s Atlassian environment.
The second is the Teamwork Graph CLI, also in open beta. This command-line interface gives coding agents such as Anthropic’s Claude Code and OpenAI’s Codex a way to access the full context within the Teamwork Graph from where developers build. Atlassian indicated that developers get structured access to project context while administrators retain control over scopes and permissions.
Rovo usage climbing
Atlassian disclosed that customers performed more than 14 million Rovo-assisted actions in the past month alone, with agentic automations up seven times over the past six months.
The company used the conference to announce several new Rovo capabilities designed to move the AI assistant from what it described as assistive AI toward autonomous agents.
The new Rovo Studio experience, now generally available, gives teams a single workspace to design agents, automations and custom applications using natural language, with built-in governance controls.
Max mode in Rovo Chat, coming soon, will allow users to hand off complex, multi-step tasks directly from the chat interface. The feature breaks work into an action plan, coordinates autonomously across Atlassian and connected SaaS applications and self-corrects as needed.
Agents embedded in Jira
One of the more notable announcements is the general availability of agents in Jira. Teams can now assign work to agents, mention them in comments and embed them directly into Jira workflows and automations.
Atlassian positioned this as a shift from treating agents as isolated experiments to making them accountable participants in project workflows.
Confluence gets content remixing and slides
Atlassian is also bringing AI-driven content transformation to Confluence. A feature called Remix with Rovo, now available in beta, allows any content block in Confluence – text, tables or lists – to be reshaped into infographics, charts, databases, slides and other formats without leaving the page.
Related: Best Business Laptops for work & school
Related: Best Gaming Laptops
Related: Best Portable Laptop
Confluence slides, coming soon in beta, will extend this capability further. The intent is to let teams consume complex information in whatever format suits them while maintaining one version of the source content.
Measuring AI’s impact on development
DX, Atlassian’s developer experience product, is getting new capabilities that are now generally available. The DX AI Experience lets teams measure where AI is generating code, how agents are performing and the return on investment of AI tools within the software development lifecycle.
Atlassian framed this as an effort to turn AI adoption from an opaque process into a measurable one.
Product Collection for product teams
In early access, the new Product Collection aims to give product teams a connected system spanning signal capture through to delivery. It brings together Jira Product Discovery, the Feedback app, a planned Pendo integration and other tools so teams can capture feedback, prioritise ideas and track delivery in one place.
Dia browser assistant
Atlassian also highlighted Dia, its AI-powered browser assistant. Dia surfaces a daily morning brief that helps users prioritise work based on emails, messages, calendar changes, Teamwork Graph context and browser usage.
The company indicated Dia is now ready for broader team use, with prompt-injection defences, single sign-on, Chromium MDM support and SOC 2 Type II attestation in place.
Last Updated on May 9, 2026 by Nick Ross
