AI agents across Atlassian’s workplace platform and Rovo will run on OpenAI models under a new agreement announced October 6, 2026. The expanded partnership pairs those models with Atlassian’s connected company knowledge, aiming to help teams assess their work and act on it—not simply retrieve another document or answer a question.
The deal gives Atlassian expanded access to OpenAI models, including GPT-6 Astra and the GPT-5.6 series. It builds on a collaboration that began in 2023. OpenAI will also continue using Jira to manage critical workflows inside its own company.
Company context behind the answer
Rovo combines OpenAI models with Atlassian’s Teamwork Graph, a layer of connected information about people, projects, documents and decisions. That organizational context is central to the companies’ proposed workflow: the model receives information about how work fits together, rather than treating each document as an isolated source.
OpenAI illustrates the approach with a product manager asking whether a launch is on track. In that example, Rovo connects Jira tickets, Confluence documents and relevant discussions to identify engineering blockers, missed milestones and decisions needing attention. The models turn those inputs into a launch-readiness assessment and recommended next steps. This is the companies’ example of intended use, not a measured customer result.
Combining OpenAI frontier models with Atlassian brings powerful agentic capabilities together within the context of how businesses actually operate. Through our partnership, we’re making it easier for teams to move from understanding their work to taking action.
Nikunj Handa, Head of Product, API at OpenAI
Work records reach ChatGPT and Codex
The partnership also builds on existing routes into OpenAI’s tools. Atlassian and Teamwork Graph plugins connect ChatGPT and Codex to relevant project information, technical documentation and development context, subject to permissions. Those connections let users bring company work context into an OpenAI workflow rather than working only inside Atlassian’s products.
A recently launched Atlassian plugin extension brings Jira work items, Confluence content and people into ChatGPT and Codex prompts. Its pinned Atlassian Home surfaces assigned work, recent Looms, projects and Bitbucket pull requests. Atlassian reports that more than 3,000 of its developers already use Codex in terminals, development environments and code-review workflows.
Assigning agent work is the next proposal
Atlassian and OpenAI are exploring deeper Jira integrations that would let teams assign work to AI agents, track progress, capture decisions and review results. That part of the announcement remains exploratory, rather than a commitment that these integrations are ready to use.
The companies say pairing those capabilities with DX, Atlassian’s developer-productivity and engineering-performance platform, could help leaders measure AI’s impact on development speed, cycle time and developer experience. Their stated aim is to keep humans in control while making agent work something teams can assign, inspect and measure.
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