How do I use AI to summarize meeting notes
Paste your raw notes or transcript into an AI assistant like ChatGPT or Claude and ask it to extract decisions, action items with owners, and open questions. For recurring meetings, use a dedicated notetaker like Otter.ai or Fathom that joins the call, transcribes it, and produces the summary automatically — no copy-paste required.
The quality of your summary depends almost entirely on the prompt. "Summarize this meeting" gets you a vague paragraph. Instead, tell the AI exactly what structure you want: "Summarize these notes into three sections — Decisions Made, Action Items (with owner and due date), and Open Questions. Keep it under 200 words." That single change turns a wall of text into something you can actually forward to your team. If you're running the same meeting every week, skip the manual step. Tools like Otter.ai, Fireflies, and Fathom sit in your Zoom, Teams, or Google Meet call, record it, and email a summary within minutes of hangup. Most integrate with Slack and your CRM, so action items land where your team already works. Free tiers usually cap you at a few hundred transcription minutes per month, which covers a handful of weekly meetings. Watch out for two failure modes. First, AI often invents specificity — it'll assign a deadline nobody actually said out loud. Always skim the action items against what you remember before sending. Second, speaker attribution in auto-transcripts gets muddy when people talk over each other, so "Sarah agreed to X" may be wrong. Verify anything that assigns responsibility. For sensitive meetings — HR, legal, client contract talks — check your tool's data retention policy before recording. Some free tiers train on your content by default. Paid business plans generally don't, but confirm it in writing rather than assuming, and get consent from participants before any recording starts.