Atlassian Embraces OpenAI's GPT-6 Models for Rovo

Atlassian and OpenAI are expanding their collaboration around AI agents connected to the Teamwork Graph and the publisher's tools. Atlassian gains broader access to the latest OpenAI models, while new integrations around Jira and measurement capabilities via DX are being discussed.

Jira Integrations and Measurements via DX are Being Considered

Atlassian and OpenAI are working to enhance the integration of Jira, particularly by considering delegating task assignments to AI agents, tracking progress, recording decisions made, and verifying results. In addition to DX, Atlassian's solution for assessing developer productivity and engineering performance, these features could enable managers to measure the impact of AI on development speed, cycle duration, and developer experience, all while maintaining human oversight. OpenAI plans to continue using Jira for organizing critical processes, and both companies aim to integrate more advanced intelligence into the existing tools within organizations, allowing AI agents to seamlessly fit into collaborative work. By utilizing OpenAI's APIs, Atlassian envisions directly adding new reasoning functions to Rovo as models evolve, thus providing clients with access to increasingly powerful AI in their daily tools.

Functions Already Available in Atlassian Tools

Over 3,000 Atlassian developers are using Codex in their terminals, IDEs, and code review workflows. Atlassian extensions based on the Teamwork Graph provide these users with access to relevant tasks and technical documentation; according to Atlassian, this facilitates the writing, testing, and delivery of software. Collaboration extends beyond Atlassian solutions, thanks to Atlassian plugins and Teamwork Graph CLI for ChatGPT and Codex, which connect these tools to existing processes and provide AI with project data, documentation, and development context, subject to appropriate access rights. Atlassian has also introduced a plugin extension that integrates Jira tasks, Confluence content, and contacts directly into queries addressed to ChatGPT and Codex. The Atlassian Home interface, once pinned, highlights assigned tasks, the latest Looms, projects, and Bitbucket pull requests to simplify access to context and action.

Broader Access to OpenAI Models and Rovo Agents

The agreement grants Atlassian broader access to OpenAI's advanced models, including GPT-6 Astra and the GPT-5.6 series. These models are set to power agents on the Atlassian platform and within Rovo. Meanwhile, models from the GPT-6 family are being integrated into the platform to offer new AI experiences. Rovo combines OpenAI's intelligence with Atlassian's Teamwork Graph, a contextual layer that connects people, projects, documents, and decisions.

What Atlassian and OpenAI Say About the Agreement

Jamil Valliani, AI Product Lead at Atlassian, believes that the combination of OpenAI's capabilities and the Teamwork Graph provides deep organizational context to work in enterprises, and that the expanded partnership offers clients a seamless way to integrate advanced models into their daily routines. Nikunj Handa, API Product Lead at OpenAI, considers that this combination brings together powerful capabilities in the real-world context of businesses and that the partnership facilitates the transition from understanding to action.

Context of the Collaboration and Typical Use Case in Rovo

The collaboration between Atlassian and OpenAI began in 2023 and continues as Atlassian expands the adoption of Codex and ChatGPT Enterprise. One use case describes a product manager querying Rovo about deadline compliance; leveraging the Teamwork Graph, Rovo connects Jira tickets, Confluence documents, and discussions to identify obstacles, flag missed milestones, and highlight decisions to be addressed. OpenAI's models are tasked with converting these elements into an analysis of launch readiness and step recommendations, aiming to reduce the time spent on information gathering. OpenAI continues its efforts to enhance the performance, efficiency, and competitiveness of its models. According to both partners, their joint solution will provide clients with more options for interacting with their products.