Atlassian and OpenAI expand partnership to turn enterprise knowledge into action

Atlassian and OpenAI are expanding their partnership, bringing frontier models in the GPT‑6 family across Atlassian’s platform to power AI experiences that help teams plan, build, and deliver work. The combination of both companies’ capabilities will give joint customers more ways to work with Atlassian products and OpenAI.

Under a new agreement, OpenAI frontier models will power agents across Atlassian’s platform and Rovo. Rovo combines OpenAI intelligence with Atlassian’s Teamwork Graph, an enterprise context layer that connects people, projects, documents, and decisions, giving AI a deep understanding of how a company works.

The expanded partnership builds on a collaboration that began in 2023 and arrives as Atlassian broadens its own adoption of Codex and ChatGPT Enterprise. More than 3,000 Atlassian developers use Codex across their terminals, IDEs, and code review workflows. Through Atlassian plugins powered by the Teamwork Graph, Codex users can access relevant work items and technical documentation, helping developers write, test, and ship software.

The agreement gives Atlassian expanded access to the latest OpenAI frontier models, including GPT‑6 Astra and the GPT‑5.6 series, as OpenAI continues to advance model capabilities, efficiency, and price-performance.

As the partnership grows, OpenAI will continue to rely on Jira to help manage critical workflows across the company. Together, the companies aim to bring frontier intelligence into the tools businesses already use, making AI agents a natural part of how teams get work done.

Connecting OpenAI models with enterprise knowledge

Through OpenAI APIs, Atlassian can bring new reasoning capabilities directly into Rovo as models advance, giving customers access to increasingly capable AI within the tools they already use.

For example, a product manager preparing for a launch could ask Rovo whether the team is on track. Drawing on the Teamwork Graph, Rovo can connect Jira tickets, Confluence documents, and relevant discussions to identify engineering blockers, flag missed milestones, and surface decisions that need attention. OpenAI models help turn that information into a clear assessment of launch readiness and recommended next steps, so teams spend less time piecing together information and more time moving work forward.

The collaboration also extends beyond Atlassian’s own products. Through the Atlassian and Teamwork Graph CLI plugins for ChatGPT and Codex, customers can connect ChatGPT and Codex to their existing workflows, giving AI access to relevant project information, documentation, and development context, subject to appropriate permissions.

More recently, Atlassian launched its plugin extension ⁠ (opens in a new window) that brings Jira work items, Confluence content, and people directly into ChatGPT and Codex prompts. Its pinned Atlassian Home also surfaced assigned work, recent Looms, projects, and Bitbucket pull requests, helping teams access relevant context and take action.

Building toward the next generation of AI-powered teamwork

The companies are exploring deeper integrations with Jira that would make it easier for teams to assign work to AI agents, track progress, capture decisions, and review results. Paired with DX, Atlassian’s platform for measuring developer productivity and engineering performance, these capabilities could help engineering leaders measure AI’s impact on development speed, cycle time, and developer experience while keeping humans in control.