At its annual Team ’26 conference, Atlassian announced major AI enhancements including the opening of its massive Teamwork Graph to outside developers and the evolution of its Rovo AI assistant into an autonomous agent capable of planning and executing complex workflows.
- Teamwork Graph opened with APIs and CLI for developer integration
- Rovo AI upgraded to autonomously plan and execute tasks
- New AI tools introduced for Jira, incident management, and reporting
What happened
Atlassian revealed extensive AI updates centered on its Teamwork Graph and Rovo assistant at its Team ’26 event. The Teamwork Graph, a vast shared context layer with more than 150 billion connections, is now open for external agents and tools via a command-line interface and a Model Context Protocol server. These interfaces allow third-party developers and AI assistants to query and contribute to the graph seamlessly across Atlassian’s ecosystem.
Simultaneously, Rovo’s capabilities have evolved beyond reactive help into agentic execution, enabling it to autonomously break down complex requests into multi-step plans and perform them across connected software tools. Rovo Studio, a no-code builder for creating custom AI agents and automations grounded in the Teamwork Graph, reached general availability. Atlassian also launched expansions in AI functionality across Jira and incident management, as well as new admin controls for overseeing AI usage at scale.
Why it matters
Opening the Teamwork Graph to external agents and tools represents a significant step toward creating a unified operational ecosystem where data and workflows from disparate sources interconnect seamlessly. This broad integration layer aims to reduce redundant API stitching and improve accuracy and efficiency in AI-driven work execution, as evidenced by Atlassian’s reported 44% improvement in output precision when AI responses are based on Teamwork Graph data.
The upgrade of Rovo into an autonomous agent marks a shift from simple AI helpers to sophisticated digital coworkers capable of handling complex tasks with minimal human intervention. This transformation aligns with growing enterprise demands for intelligent automation that can improve workforce productivity and reduce operational overhead. With over 90% of Atlassian’s enterprise cloud customers now using Rovo, the company is positioning itself as a leader in AI-powered work management.
What to watch next
Monitoring how developers and enterprises adopt the open Teamwork Graph interfaces will be key to understanding the platform’s ecosystem growth. Success will depend on the richness of third-party integrations and how well the AI agents can leverage unified data at scale to streamline workflows without compromising security or permissions.
Additionally, the rollout and user feedback on Rovo’s new Max reasoning mode and expanded AI features in Jira, incident management, and reporting tools will provide insights into real-world effectiveness and AI governance challenges. Enterprises will also watch closely the impact of Atlassian’s enhanced admin tools designed to balance AI empowerment with controlled access and audit capabilities.