AI Partner Cast: Teamwork Graph, explained in three sentences

Here are three sentences our Partners can reuse with customers: (1) Teamwork Graph brings information from Atlassian and connected tools into one common data model, (2) It links people, work and knowledge through relationships, such as who owns a task or which document supports it, (3) That gives Rovo and other AI tools permission-aware context to find relevant information, answer questions and take action. This AI Cast episode explains Teamwork Graph and how it improves AI access to customer work across Atlassian and other tools. It describes using connectors to bring information, including relationships and access permissions, into a common data model where people, documents, and work items become typed nodes connected by typed edges. The graph enables AI tools to retrieve relevant context through Atlassian MCP integration rather than retraining or moving all documents into Confluence, while access controls still apply. The speaker also notes that supported AI tools such as Rovo, Claude, Codex, and ChatGPT can use connected context to answer questions and take actions.

About Atlassian:
Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

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