How Atlassian and OpenAI are connecting AI to how teams actually plan, build, and deliver
Frontier models can now reason through problems that stumped businesses just a year ago. Yet inside every enterprise, the most critical knowledge remains dynamic and distributed, from the architecture decisions agreed upon last sprint to the exact owner of a service being updated.
For over 20 years, hundreds of thousands of organizations have planned, built, and shipped on Atlassian. And in the time since our initial partnership in 2023, more than 2.5 million businesses are using OpenAI products.
As frontier intelligence goes from strength to strength, enterprises need a way to connect AI to the goals, knowledge, people, and processes that shape how their organizations operate, and a system for humans and agents to work together.
That’s the opportunity OpenAI and Atlassian are teaming up to address. We’re bringing together OpenAI’s frontier intelligence with Atlassian’s Teamwork Graph, the living context of your projects, decisions, and execution systems – two decades of how enterprise work actually happens, permission-aware and compounding every day.
And it’s already showing up for our customers today.
“Atlassian provides the connective tissue that allows OpenAI frontier models to reason across our entire enterprise. By grounding OpenAI models alongside our Teamwork Graph, we’ve democratized our data, moving beyond generic AI responses to context-aware actions that actually drive our innovation pipeline forward.”
Intelligence, context, execution, and outcomes
Enterprise AI requires a continuous loop of intelligence to reason, context to understand the assignment, execution to take action inside existing workflows, and outcomes to prove real business value.
The OpenAI and Atlassian partnership brings all those layers together.
Bring frontier reasoning directly into the flow of teamwork
New frontier capabilities from OpenAI are consistently added to the mix of models across Rovo and the broader Atlassian platform. This means teams can leverage high-order reasoning directly where they already work, synthesizing complex initiatives, identifying cross-team dependencies, and turning unstructured discussions into actionable plans.
We’re actively exploring deeper ways to bring Codex directly into developer workflows, turning agentic coding into a natural extension of planning and review cycles.
Feed ChatGPT and Codex the context of your work
Reasoning is only as sharp as the context behind it. Using open standards and the Model Context Protocol (MCP), teams can securely connect ChatGPT and Codex directly with the Atlassian plugin.
Whether a product manager is querying live roadmaps in ChatGPT, a marketer is turning Confluence briefs into launch messaging, or a developer is asking Codex to inspect work items and Bitbucket repos from the terminal, the Teamwork Graph ensures every query reflects real organizational relationships.
Making agentic work visible, governed, and measurable
By anchoring agent sessions to Atlassian’s system of record in Jira, human review stays at the center. Work items capture requirements, track agent progress, and log decisions alongside human comments. Paired with DX, engineering leaders gain clarity into how tools like Codex influence delivery speed, cycle time, and team health, ensuring AI investment translates into measurable progress.
“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
How Atlassian teams build with OpenAI
We aren’t just building these integrations for our customers, we rely on them daily. Across Atlassian, OpenAI’s frontier models power core Rovo experiences, reasoning across the Teamwork Graph to map complex dependencies and turn unstructured conversations into actionable plans.
In engineering, more than 3,000 Atlassian developers use Codex via ChatGPT Enterprise across their terminals, IDEs, and code review workflows. Connected directly to Atlassian MCPs, Codex pulls live work items and technical documentation straight into the development loop, fundamentally accelerating how our software teams write, test, and ship code at scale.
The partnership today, and where we’re headed
This partnership is built on an ongoing evolution in how software and business teams operate:
- Available now: OpenAI models power intelligent reasoning across Rovo and the Atlassian platform. Developers and teams can connect ChatGPT and Codex to enterprise context via Atlassian MCP. DX provides visibility into developer impact.
- On the horizon: We’re designing deeper integrations for autonomous agents to pick up work items, run tests, sync local session history back to team boards, and support multi-agent orchestration with built-in human checkpoints.
