
AI-powered bug triage meeting agents are revolutionizing how Quality Assurance Managers handle [defect management](https://relevanceai.com/agent-templates-tasks/bug-pattern-detector), coordinate with development teams, and optimize their time. These agents automate the tedious aspects of bug analysis and prioritization, from initial categorization to resource allocation, allowing managers to focus on strategic quality initiatives. This technology streamlines workflows, reduces resolution times, and enhances overall software quality.
Before Meeting
Your AI agent automatically analyzes incoming bug reports, categorizes them based on severity and impact, and [assigns a priority score](https://relevanceai.com/agent-templates-tasks/ticket-priority-scorer). You walk into the meeting with a pre-sorted list of issues ready for discussion.
During Meeting
As the team discusses each bug, your AI agent provides additional context, such as historical data, similar issues, and potential impact on users. It also suggests optimal solutions and resource allocation.
After Meeting
Post-meeting, your AI agent updates the bug tracking system with the triage decisions, assigns tasks to developers, and monitors progress. It also [generates reports](https://relevanceai.com/agent-templates-tasks/report-scheduling) on triage outcomes and key metrics.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- Meeting Notetaker Agent template
- Calendar account
- Meetings to join
- Relevance AI Account



