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Modules/Summarize Meeting Notes/AI-Powered Decision Extraction
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AI-Powered Decision Extraction

6 min

What you will learn

  • Use AI to extract structured meeting outputs from unstructured notes or transcripts
  • Differentiate between explicit decisions, implicit agreements, and open questions
  • Handle messy, incomplete, or contradictory meeting notes
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AI-Powered Decision Extraction

Meeting transcripts from Zoom, Teams, or Otter.ai can be 20 pages long for a 30-minute meeting. Nobody reads those. But buried in that transcript are three critical decisions, five action items, and two unresolved questions that will derail the project if not captured.

This is exactly the kind of task where AI excels: extracting signal from noise.

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Knowledge check

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AI extracts the following from a meeting transcript: 'Decision: The team will evaluate new vendors.' Is this a well-formed decision?

Key takeaway

AI is particularly good at finding structure in chaos. Raw meeting notes and transcripts contain decisions buried in conversation — AI can extract them, but you need to prompt for explicit AND implicit decisions, plus flag contradictions.

Practice Exercise

Hands-on practice — do this now to lock in what you learned

Open an AI assistant and try this:

If you use a meeting recording tool (Zoom, Otter.ai, Fireflies, etc.), take a recent transcript and run it through the transcript-to-summary pipeline prompt. Pay special attention to the 'Implicit Decisions' and 'Contradictions' sections. Did AI catch anything you had not noticed?

Open in ChatGPT
Or try it in:ClaudeGeminiPerplexity
+10 XP when completed
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