Atlassian and OpenAI Deepen Partnership, Bringing GPT-6 Models to Rovo
Atlassian and OpenAI are expanding their partnership so that frontier models from the GPT-6 family will power AI agents across Atlassian's platform, including its Rovo assistant. According to OpenAI, the deal builds on a collaboration that began in 2023.
- Atlassian and OpenAI are expanding a partnership that began in 2023.
- OpenAI frontier models, including GPT-6 Astra and the GPT-5.6 series, will power agents across Atlassian's platform and Rovo.
- More than 3,000 Atlassian developers use Codex across terminals, IDEs, and code review workflows.
- Atlassian and Teamwork Graph CLI plugins connect ChatGPT and Codex to customer workflows, subject to appropriate permissions.
- The companies are exploring deeper Jira integrations for assigning work to AI agents, plus DX-based measurement of AI's impact.
What the new agreement covers
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, which OpenAI describes as an enterprise context layer that connects people, projects, documents, and decisions.
The agreement gives Atlassian expanded access to the latest OpenAI frontier models, including GPT-6 Astra and the GPT-5.6 series. Through OpenAI APIs, Atlassian can bring new reasoning capabilities into Rovo as the models advance, so customers get access to increasingly capable AI inside the tools they already use.
The partnership also runs in the other direction. OpenAI will continue to rely on Jira to help manage critical workflows across the company.
Codex, ChatGPT and the Teamwork Graph
The expansion comes as Atlassian broadens its own use 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 reach relevant work items and technical documentation, which is meant to help developers write, test, and ship software.
Customers outside Atlassian can use the same approach. The Atlassian and Teamwork Graph CLI plugins for ChatGPT and Codex let them connect both tools to existing workflows, giving AI access to project information, documentation, and development context, subject to appropriate permissions.
Atlassian also recently launched a plugin extension that brings Jira work items, Confluence content, and people directly into ChatGPT and Codex prompts. Its pinned Atlassian Home surfaced assigned work, recent Looms, projects, and Bitbucket pull requests.
A launch-readiness example
OpenAI gives a concrete scenario. 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 then help turn that information into an assessment of launch readiness and recommended next steps. The stated goal is that teams spend less time piecing together information and more time moving work forward.
What comes next
The companies are exploring deeper Jira integrations that would make it easier for teams to assign work to AI agents, track progress, capture decisions, and review results. Combined 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.
For Atlassian customers, the practical effect is that newer OpenAI models are meant to arrive inside Rovo and the tools they already use, rather than in separate products. The integrations under exploration are not yet announced as features, so their scope and timing remain open.
