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Atlassian and OpenAI are expanding their partnership to bring frontier models from the GPT-6 family across Atlassian's platform. The goal is to support AI experiences that help teams plan, build, and deliver work. The companies say the combined capabilities will give joint customers more ways to work with Atlassian products and OpenAI.
Under the new agreement, OpenAI frontier models will power agents across Atlassian's platform and Rovo. Rovo combines OpenAI intelligence with Atlassian's Teamwork Graph. That graph is described as an enterprise context layer that connects people, projects, documents, and decisions. This gives AI a deeper understanding of how a company works.
The expanded partnership builds on a collaboration that began in 2023. It also arrives as Atlassian broadens its own adoption of Codex and ChatGPT Enterprise. The source says more than 3,000 Atlassian developers use Codex across terminals, IDEs, and code review workflows.
Through Atlassian plugins powered by the Teamwork Graph, Codex users can access relevant work items and technical documentation. The stated aim is to help developers write, test, and ship software. This is a practical example of how enterprise context can make AI tools more useful inside existing workflows.
The agreement also gives Atlassian expanded access to the latest OpenAI frontier models. The source names GPT-6 Astra and the GPT-5.6 series. OpenAI says it continues to advance model capabilities, efficiency, and price-performance.
The companies say they want to bring frontier intelligence into the tools businesses already use. They also want AI agents to become a natural part of how teams get work done. In this framing, the value comes from embedding AI into familiar systems rather than adding separate tools.
OpenAI will continue to rely on Jira to help manage critical workflows across the company. That detail shows the partnership runs in both directions. Atlassian is both a platform partner and an internal workflow tool for OpenAI.
The source points to three operational themes. First, AI agents depend on context. Second, workflow tools matter when teams want AI to act inside real processes. Third, model access and performance remain part of the partnership value.
The Teamwork Graph is central to the setup. It connects work objects and decisions so AI can respond with more relevant context. The source does not provide technical limits, governance rules, or deployment details, so those points remain unspecified.
The source reports no Morocco-specific fact. For readers in any market, the global lesson is that enterprise AI works best when it is tied to existing workflows and internal context.
This partnership expands a long-running collaboration between Atlassian and OpenAI. It brings newer frontier models into Atlassian's platform, Rovo, and developer workflows. The shared message is simple: AI becomes more useful when it is embedded in the tools teams already use.
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