Atlassian Rovo is an integrated AI solution built into Jira, Confluence, Jira Service Management, and Bitbucket. It gives you enterprise search across Atlassian and third-party apps, a chat interface for natural language questions, and configurable AI agents that automate tasks like ticket triage, code review, and documentation. Powered by Atlassian's Teamwork Graph, Rovo respects existing permissions and connects to 100+ third-party tools including Google Drive, SharePoint, Slack, Figma, and GitHub.

• Rovo Search: Semantic search across Atlassian apps and connected third-party tools that understands meaning and intent, not just keywords.
• Rovo Chat: Ask natural language questions and get cited answers with sources, including a Deep Research mode for detailed reports.
• Rovo Agents: Configurable AI teammates you can assign Jira issues to, mention in comments, or trigger through automation rules.
• Rovo Studio: No-code workspace to build agents, automations, and custom Forge apps from a simple prompt.
• Rovo Dev: Context-aware coding agent that plans, generates, and reviews code across Jira, Confluence, Bitbucket, and VS Code.
• Teamwork Graph: Proprietary data model that connects information across 100+ third-party tools for richer AI context.
• Permission-Aware AI: Respects existing access controls so users only see content they are authorized to view.
• Audit and Governance: Full audit trails for agent actions plus admin usage dashboards and granular access controls.

• Deep Atlassian Integration: Works natively inside Jira, Confluence, and Bitbucket, with context that generic AI tools cannot match.
• Included with Cloud Plans: Core Rovo is now bundled with Standard, Premium, and Enterprise Cloud subscriptions rather than a separate purchase.
• Cross-App Search: Connects Atlassian data with supported third-party apps so teams can find information from multiple sources in one place.
• Permission-Aware AI: Respects existing access controls so users only see information they are authorized to access.
• No-Code Agent Building: Rovo Studio lets teams create agents, automations, and custom apps with guided prompts and no coding required.

• Cloud-Only Availability: Server and Data Center customers must migrate to Atlassian Cloud before using Rovo features.
• Steep Learning Curve for Agents: Users report the blank canvas for creating agents can be overwhelming and requires prompt trial and error.
• Difficult Credit Usage Tracking: Different Rovo features use different amounts of credits, with Quick Answer and Agents costing 10 credits per request and Deep Research costing 100 credits. The credit system may require admin monitoring for larger teams.
• Administrative Setup Requirements: Connecting third-party apps, managing permissions, and configuring agents and governance controls can add setup work for organizations.
• Necessary Review of AI Results: Rovo can generate incorrect or incomplete answers, so users should review important information and agent actions before relying on them for critical work.

• Automated Code Review: Rovo Dev reviews pull requests against Jira acceptance criteria, suggests improvements, and reduces reviewer workload for engineering teams.
• Incident Response and Triage: IT and Ops teams hand off alert triage, root cause analysis, and post-incident reports to Rovo agents so humans focus on complex problems.
• Sprint and Backlog Management: An agent pulls closed issues at sprint end, compares them against goals in Confluence, and generates summaries automatically.
• Employee Onboarding: New hires can ask Rovo Chat questions about company processes, tools, and policies and get answers based on connected company knowledge.
• Marketing Campaign Support: Business teams use agents to draft weekly campaign updates, first-draft copy, and user flow maps.
• Backlog Quality Control: Agents scan new tickets for missing acceptance criteria, incorrect labels, or unlinked epics and flag gaps before sprint planning.