100×worker · task analysis

Can AI Write Meeting Minutes?

By Hendrik De Winne Last updated: Lees dit in het Nederlands
Partly Partly. AI turns a recording or transcript into a structured draft with agenda items, decisions, and action points. It cannot guarantee that names, figures, and commitments are correct, or judge what is formally binding. For team meetings this works well today. For a board or a general assembly, a human stays responsible for checking and approving the final version.

How to do it

Start with a transcript. Most AI tools that draft minutes need text input, so you either record the meeting and run it through a transcription tool, or use live captioning that saves a transcript as you go. Once you have text, you feed it to an AI model with clear instructions: extract agenda items, decisions, action points, deadlines, and owners in a fixed format.

The model returns a first draft in seconds, often already organized under headings. This is where most of the time saving happens: you skip the blank page and start editing instead of writing from scratch. Some meeting platforms now build this transcription-to-draft step into the call itself, but the underlying logic is the same whether you use a built-in feature or a separate tool.

For recurring meetings, save your structure as a reusable prompt template so every set of minutes follows the same format. This makes review faster because you know exactly where to look for each type of information.

Step by step

  1. Ask for consent to record the meeting and note this on the agenda in advance.
  2. Get a transcript through live captioning or a recording plus a transcription tool.
  3. Give the transcript to an AI model with a clear structure instruction: agenda items, decisions, action points, deadlines, owners.
  4. Let the AI generate a first draft.
  5. Check names, figures, decisions, and commitments against your own notes.
  6. Have the chair or secretary approve the minutes before they are sent or filed.

Where it breaks down

AI misses context that was never said out loud: a nod instead of a verbal yes, an implied agreement, an awkward silence after a proposal. Names get confused when voices sound similar, numbers get mistranscribed, and the model can occasionally state a decision that was never actually made (a hallucination). Around sensitive topics such as layoffs, restructuring, or a legal dispute, any inaccuracy carries real risk.

In formal bodies, minutes are often required by rule or statute to be prepared by a designated secretary and approved by the meeting itself. AI-generated text is a way to reach a draft faster, not a substitute for that accountability. The task changes; the responsibility of the person who signs off does not.

A prompt to start with

Turn a meeting transcript into structured minutes

You are helping draft meeting minutes from a raw transcript. Read the transcript below and produce minutes with these sections: 1) Attendees (list names mentioned), 2) Agenda items discussed, 3) Decisions made (state each decision in one sentence), 4) Action points (task, owner, deadline if mentioned), 5) Open questions or items postponed. Use neutral, factual language. Do not add any decision, name, or figure that is not explicitly present in the transcript. If something is unclear or inaudible, write [unclear] instead of guessing. Meeting name: [meeting name]. Date: [date]. Transcript: [paste transcript here].

Jobs where this task is shifting

Which of your tasks can AI take over?

The free scan builds your personal task map in 30 seconds.

Run the free task scan

Frequently asked questions

Can AI record a meeting itself?

AI tools don't decide to record; you or your meeting platform does. Many video call tools now offer built-in recording and live transcription, which you then feed to an AI model for drafting. Always confirm you have consent from participants before recording, since this is often a legal requirement, not just good practice. The AI's role starts once a transcript or recording exists, not before.

Is AI-drafted meeting minutes legally valid?

That depends on your organization's rules, not on the tool. Many formal bodies (boards, committees, statutory meetings) require minutes to be prepared or reviewed by a designated secretary and formally approved by the group. AI can produce the draft, but it cannot fulfill that approval role. Treat the AI output as a starting draft that still needs the same sign-off process your organization already requires.

How accurate is AI at capturing names and numbers correctly?

Accuracy depends heavily on audio quality, accents, and how many people speak at once. Similar-sounding names are a common error source, and figures spoken quickly are sometimes mistranscribed. AI can also occasionally state a decision that was implied but never explicitly confirmed. This is why a manual check against your own notes remains a required step, especially for numbers, names, and anything that commits the organization to an action.

Sources

This article was drafted with AI assistance and editorially reviewed.