Engineers spend only 16% of their time writing code, with the remaining 84% on coordination, documentation, and context-gathering. Atlassian's Teamwork Collection (Jira, Confluence, Loom, and Rovo AI) aims to reduce this friction through a connected data model called the Teamwork Graph. Key capabilities include Loom-powered async communication that auto-generates Jira tickets and Confluence pages, Rovo AI agents that handle triage, bug analysis, and documentation tasks, and integration with third-party agents like GitHub Copilot. Reported outcomes include 80% of new-hire questions answered by Rovo agents at Sprout Social, 75% reduction in roadmap writing time at Procore, and 100+ hours saved per engineer annually at Atlassian.
Table of contents
Where Jira’s value expandsWhere context breaks down in executionHow Teamwork Collection compounds valueImproving how communication flows across teamsThe agentic future: Human-AI collaborationActivating Teamwork Collection: A practical how-toWhat happens to Jira?Enter the modern AI eraSort: