Bengaluru, May 7: Atlassian, a leading provider of collaboration and productivity software, today announced the expansion of its Teamwork Graph platform to enable AI agents and enterprise tools to securely search, reason, and act across teams and workflows.
The announcement was made at Team ’26, Atlassian’s flagship annual conference focused on the future of teamwork and enterprise collaboration.
The company stated that the move represents a major step toward enabling AI-native organizations, where humans increasingly collaborate with autonomous AI agents across workflows and business functions.
Teamwork Graph now accessible across AI ecosystems
At the core of the announcement is the opening of Atlassian’s Teamwork Graph, a context engine containing over 150 billion connections linking people, goals, projects, documents, code, and enterprise workflows across Atlassian products and connected applications.
New capabilities include:
Teamwork Graph tools in MCP (open beta): Enables Model Context Protocol-compatible AI platforms such as Figma and Replit to securely access organizational context through Teamwork Graph.
Teamwork Graph CLI (open beta): A command-line interface allowing coding agents such as Anthropic Claude Code and OpenAI Codex to access enterprise workflow context directly within development environments.
These capabilities aim to improve the effectiveness, accuracy, and contextual awareness of AI agents while maintaining enterprise-grade governance and permissions.
Expanding Rovo into everyday enterprise workflows
Atlassian also announced major enhancements to Rovo, its AI-powered collaboration platform.
Recent company data indicates that customers completed more than 14 million Rovo-assisted actions in the last month alone, while agentic automations increased sevenfold over the past six months.
Key updates include:
- Rovo Studio (generally available): A centralized workspace enabling teams to design AI agents, automations, and custom applications using natural language prompts.
- Max Mode in Rovo Chat (coming soon): A new capability enabling autonomous execution of complex, multi-step workflows across Atlassian and connected SaaS platforms.
- AI agents integrated directly into workflows: Atlassian also introduced a series of AI-powered workflow enhancements across its product ecosystem:
- Agents in Jira (generally available): Teams can assign tasks directly to AI agents, mention them in comments, and integrate them into workflow automations.
- Remix with Rovo (beta) and Confluence Slides (coming soon): Allows Confluence content to be automatically transformed into charts, slides, infographics, databases, and other formats.
- DX AI Experience: New capabilities enabling organizations to measure AI-generated code output, agent performance, and software development ROI.
- Product Collection (early access): A connected product management ecosystem integrating Jira Product Discovery, Feedback applications, planned Pendo integrations, and delivery tracking.
- Dia Browser Experience: An AI-powered browser assistant that proactively surfaces daily work summaries based on calendars, messages, browser activity, and Teamwork Graph insights.
Commenting on the announcement, Mike Cannon-Brookes said:
“In 2026, anyone can buy ‘smarts’ by the token. 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.”
Driving the future of AI-native teamwork
Atlassian stated that these innovations are designed to help organizations gradually transition toward AI-native workflows where humans and AI agents collaborate seamlessly across departments and enterprise systems.
The announcements were unveiled at Team ’26, which brings together enterprise leaders, developers, and technology practitioners focused on shaping the future of collaborative work. Today, Atlassian’s software solutions support over 350,000 customers globally, including more than 85% of Fortune 500 companies.
