
AI-powered meeting planner agents are revolutionizing how quality assurance managers conduct release readiness reviews, coordinate with development teams, and ensure software quality. These agents automate the tedious aspects of data collection, [risk assessment](https://relevanceai.com/agent-templates-tasks/supplier-risk-assessment-ai-agents), and [report generation](https://relevanceai.com/agent-templates-tasks/report-scheduling), allowing managers to focus on strategic decision-making and proactive problem-solving. This technology streamlines workflows, reduces manual effort, and enhances overall release quality.
Before Meeting
Your AI agent automatically gathers test results, code coverage metrics, and defect trends from various sources. You walk into the meeting with a pre-built report highlighting key risk areas and quality metrics.
During Meeting
As the team discusses potential risks and mitigation strategies, your AI agent provides real-time data and insights to support decision-making. It tracks action items and updates the release plan accordingly.
After Meeting
Post-meeting, your AI agent monitors the progress of action items, flags any deviations from the plan, and sends automated updates to stakeholders. This ensures accountability and keeps the release on track.
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



