Prepare the material
An AI summary can make a meeting easier to revisit, but it can also turn a suggestion into a decision. Begin with consent and your organization's recording policy. Save the transcript and, if available, the meeting agenda in a controlled folder. Remove irrelevant personal information before using a third-party assistant. Label participants consistently, and mark sections where the transcription is uncertain. If the original audio is inaccessible, do not pretend a garbled sentence is evidence.
Ask the assistant to extract only four fields: decision, owner, due date and supporting transcript passage. Tell it to write “not stated” when a field is absent. A useful prompt is: “From this transcript, list decisions that were explicitly agreed. For each, provide the exact supporting passage. Put proposals and unresolved questions in separate sections. Do not infer owners or deadlines.” This instruction forces a distinction that ordinary summaries often blur.
Verify before circulation
Read each alleged decision against its passage. Was it accepted by the people involved, or merely discussed? Check names, dates and amounts manually. If a deadline was implied but never spoken, keep it out of the decision table and ask the team to confirm it. Then send a short review draft to the participants: “Please correct any decision, owner or date by tomorrow.” Human confirmation is especially important for budget approvals, personnel issues and customer promises.
Keep the output compact. A one-page recap with three sections—decisions, actions, open questions—is more useful than a polished essay that hides uncertainty. For an action, include one owner and a concrete next step. If ownership is shared, identify a coordinator rather than listing everyone.
Make the record useful later
Store the confirmed recap beside the original transcript, not in an isolated chat. At the next meeting, compare completed actions with the previous record. This creates accountability without treating AI as the official decision-maker. If privacy rules prevent uploading a transcript, use a locally approved tool or summarize manually. The measure of success is fewer disputed commitments and faster follow-through, not the number of words the assistant produces.
