Jira AI

Atlassian Intelligence is the AI layer that Atlassian has built across its product suite including Jira, Confluence, and Jira Service Management. For the millions of software teams using Jira as their primary project management tool, these AI capabilities represent a significant enhancement to an already deeply embedded workflow tool.

Jira's AI issue summarization generates concise overviews of issues that have accumulated extensive comment history, making it fast to understand the current state of complex tickets without reading the complete discussion. For epics and stories with months of discussion and multiple linked issues, this summarization reduces the time required for status assessment.

The AI sprint planning assistant helps teams analyze their backlog and make more informed sprint planning decisions by surfacing issues with similar patterns to previously completed work, estimating complexity based on historical data, and identifying potential dependencies that might affect sprint completion.

Atlassian Intelligence's natural language query capability allows team members to ask questions about their Jira projects in plain language — 'show me all bugs reported this week that are unassigned' or 'what issues were closed by the authentication team last sprint' — receiving answers and visualizations without constructing complex JQL queries.

For Confluence integration, Atlassian Intelligence connects Jira issues to related Confluence documentation, surfacing relevant pages that provide context for issues and helping teams find existing documentation before creating duplicate content. This knowledge discovery bridges the common gap between issue tracking and documentation.