AI-powered meeting planner agents are revolutionizing how Quality Assurance Managers conduct post-release retrospectives, analyze release quality, and drive continuous improvement. These agents automate the tedious aspects of [data collection](https://relevanceai.com/agent-templates-tasks/automated-data-validation) and analysis, allowing managers to focus on strategic discussions and actionable outcomes. This technology streamlines workflows, reduces subjectivity, and enhances overall quality assurance.
Before Meeting
Your AI agent gathers and [analyzes release quality metrics](https://relevanceai.com/agent-templates-tasks/pattern-anomaly-detection), customer feedback, and production issues. You walk into the meeting with a pre-built report highlighting key trends and potential areas for improvement.
During Meeting
<p>As the team discusses the release, your AI agent provides real-time data and insights to support the conversation. It can answer questions, <a href="https://relevanceai.com/agent-templates-tasks/error-pattern-detection">identify root causes</a>, and suggest potential solutions.</p>
After Meeting
Post-meeting, your AI agent creates a summary of the discussion, assigns action items, and [tracks progress](https://relevanceai.com/agent-templates-tasks/deal-progress-tracking). This ensures that the lessons learned are implemented and that future releases are improved.
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
