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Meeting notes are a solved AI problem when you treat them as a pipeline: capture the conversation, structure the summary, extract decisions and action items with owners, and file everything where work actually happens. The failure mode is a folder of transcripts nobody reads.
Use one recording/transcription path for every meeting (built-in recorder or a notetaker bot) so the pipeline has consistent input. Announce recording — it's required in many jurisdictions and basic respect everywhere.
Decisions made, action items with owner and due date, open questions, brief discussion notes. A fixed template makes notes scannable in thirty seconds and machine-parsable for the routing step.
Instruct the extraction to only list commitments actually stated ('I'll send the draft Friday'), never inferred tasks. Fabricated action items assigned to people who never agreed to them is how teams learn to ignore the system.
Action items go to your task tracker assigned to their owner; decisions go to the decision log; the summary posts to the team channel. Notes that live in a transcript archive are write-only memory.
Send each owner their extracted items for a one-click confirm. This catches extraction errors while context is fresh and turns 'the AI said I would' into an actual commitment.
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