Meeting Analysis Agent

Overview

The Meeting Analysis Agent automatically processes recorded meetings, generates transcripts, extracts action items, and creates tasks—eliminating manual note-taking.

What It Does

Automatic Workflow:

1. Meeting ends → Detects completion
2. Downloads recording → Retrieves audio/video
3. Generates transcript → Speech-to-text processing
4. Identifies speakers → Labels participants
5. Creates summary → AI-powered overview
6. Extracts action items → Finds tasks and assignments
7. Creates tickets → Jira/Asana/Trello
8. Sends notifications → Email and Slack
9. Updates dashboard → Metrics and insights

Configuration

Basic Setup

name: meeting-analyzer
trigger:
  type: event
  source: meetings
  event: completed
  filters:
    min_duration: 600  # 10 minutes
    calendar: "Team Calendar"
    
actions:
  - transcribe_meeting
  - generate_summary
  - extract_action_items
  - create_jira_tickets
  - notify_team

Advanced Configuration

Custom Processing:

processing:
  transcription:
    model: whisper-large
    language: auto-detect
    speaker_labels: true
    
  summarization:
    style: executive  # or 'detailed', 'bullet-points'
    length: medium    # or 'short', 'long'
    focus:
      - decisions
      - action_items
      - risks
      
  action_extraction:
    confidence_threshold: 0.8
    include_context: true
    detect_assignee: true
    detect_deadline: true

Use Cases

Product Team Meetings

Workflow:

Product planning meeting → 
Transcript generated →
Key decisions identified →
Feature requests extracted →
Jira stories created →
Product backlog updated →
Team notified

Output:

• Meeting summary
• Decision log
• 5 Jira stories created
• Backlog prioritized
• Team email sent

Customer Calls

Workflow:

Customer call →
Transcript with timestamps →
Customer requests captured →
Pain points identified →
Follow-up tasks created →
CRM updated →
Account team notified

Output:

• Call summary
• Customer quotes
• 3 follow-up tasks
• CRM notes
• Next steps email

Sprint Planning

Workflow:

Sprint planning →
Story discussions transcribed →
Estimates captured →
Tasks broken down →
Sprint backlog created →
Team capacity allocated

Output:

• Sprint plan
• 15 tasks created
• Estimates added
• Dependencies mapped

Features

Intelligent Extraction

Action Item Detection:

Transcript: "Alice, can you update the docs by Friday?"

Extracted:
- Task: Update docs
- Assignee: Alice
- Due: Friday (specific date calculated)
- Priority: Medium
- Source: Timestamp 00:15:30

Decision Tracking

Decision Capture:

Transcript: "Let's go with Option B for the API design"

Extracted:
- Decision: Use API design Option B
- Made by: Product Lead
- Rationale: [context from discussion]
- Timestamp: 00:22:15
- Status: Approved

Risk Identification

Risk Detection:

Transcript: "We might miss the deadline if we don't get more resources"

Flagged:
- Risk: Timeline at risk
- Impact: High
- Mitigation needed: Resource allocation
- Mentioned by: Engineering Lead

Integration with Tools

Jira Integration

Auto-Create Issues:

Action Item → Jira Ticket:

PROD-123: Update API documentation
- Type: Task
- Priority: Medium
- Assignee: alice@company.com
- Due Date: Nov 15, 2024
- Labels: documentation, api
- Description: From Product Planning meeting
- Linked: Meeting transcript (timestamp)

Slack Integration

Post Summary:

📝 Product Planning Meeting Summary
Date: Oct 11, 2024 | Duration: 45 min

Decisions:
✅ API v2 prioritized for Q4
✅ Budget approved: $150K

Action Items:
🎫 PROD-123: Update docs (@alice, Nov 15)
🎫 PROD-124: Review specs (@john, Nov 12)

[View Full Transcript] [Chat with AI]

Best Practices

Optimize Results:

• Clear meeting agendas
• Speak names when assigning
• State deadlines explicitly
• Summarize key decisions verbally
• One person talks at a time

Review & Refine:

• Verify extracted items
• Correct any errors
• Adjust agent settings
• Provide feedback

Monitoring

Performance Metrics:

• Meetings processed: 47/month
• Action items extracted: 156
• Accuracy rate: 94%
• Time saved: ~23 hours/month
• Cost: $0.50/meeting avg

Next Steps

• Building Agents - Configuration guide
• Task Automation - Task creation
• Google Meet Integration - Recording setup

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Last Updated: October 11, 2025