How do I use AI to summarize meeting notes
Paste your raw meeting notes or transcript into an AI assistant like ChatGPT, Claude, or Copilot 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 live, and emails a structured summary within minutes of hangup.
The quality of an AI summary depends almost entirely on the prompt. Instead of asking for "a summary," ask for a specific structure: "List decisions made, action items with the person responsible, deadlines mentioned, and any unresolved questions." That single change turns a vague paragraph into something you can actually paste into a project tracker. If you're working from a live meeting rather than typed notes, a dedicated notetaker saves the transcription step. Otter.ai, Fathom, and Fireflies.ai all join Zoom, Google Meet, or Teams as a participant, record the audio, and produce a searchable transcript alongside an auto-generated summary. Most have free tiers that cover several hundred minutes a month, which is plenty for a small team. A few practical cautions. AI misses context that was obvious in the room — a joke, a hard no, a decision made by nodding rather than speaking. Always skim the summary against your own memory before sending it out. Also check whether your meetings involve client data, HR matters, or anything under NDA; many notetaker tools store transcripts on their servers by default, and free tiers often use data for model training. Read the privacy settings before you connect one to your calendar. The biggest time savings come from consistency. Pick one tool, use the same summary prompt every time, and file the output in the same place. After a month you'll have a searchable archive of every decision your team made — which is worth more than any individual summary.