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description: Atlassian's People Insights team shares how they transformed AI from a chat tool into a persistent team collaborator through context engineering. They built a...
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# From tool to teammate: How one Atlassian team made AI a real coworker

**[Atlassian](https://daily.dev/sources/atlassian)** · 10 min read · 0 upvotes · 0 comments

## Summary

Atlassian's People Insights team shares how they transformed AI from a chat tool into a persistent team collaborator through context engineering. They built a three-layer system (foundation, team, individual) connecting Rovo Dev to Databricks, Confluence, Jira, and DataHub via MCP integrations. Two AI Innovation Weeks drove a 562x growth in AI usage in one week, with 91% of team members reporting concrete workflow changes. Key lessons: setup and context engineering are the hard parts, peer champions matter more than mandated training, and multi-tool depth drives outsized impact. Company-wide, Atlassian AI interactions grew 176x since June 2025, with intensity compounding faster than adoption.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/how-we-build/ai-teammate-context-engineering>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#atlassian](https://daily.dev/tags/atlassian), [#context-engineering](https://daily.dev/tags/context-engineering)

[View this post on daily.dev](https://daily.dev/posts/from-tool-to-teammate-how-one-atlassian-team-made-ai-a-real-coworker-gzq7y8tpr)

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