How Teamwork Graph Saves Agent Tokens

What if your AI agent could do more with less?

We ran an experiment. Same agent. Same prompt. Two different approaches to context.

On one side: standard access to each work tool separately — Jira, Confluence, GitHub, Google Drive. On the other: Teamwork Graph, which already understands how people, teams, and work connect across your organization.

The difference was measurable. The graph-powered agent delivered a more complete, more current answer — reaching more sources and scoring higher on comprehensiveness from an independent AI judge. And it did it at 48% lower token cost on average.

That's not just efficiency. That's a fundamentally better way for AI to work inside your company.

In this video, we break down the benchmark, show you what context-aware AI actually looks like in practice, and explore what it means for the agents you're building or relying on today.

🔗 Learn more about Teamwork Graph: atlassian.com/platform/teamwork-graph

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