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YES

As of 13 August 2026, AI can turn an audio recording into meeting minutes.

This still needs a person who signs their name to it.

Can you do it?

5 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ita colleague

What the alternative costsA specialist meeting notetaker is an alternative; Otter.ai records, transcribes and summarises meetings automatically.

If this goes wrong: the minutes misstate a decision or assign an action to the wrong person, and the error is copied into the team's work or record.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice

  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open the audio recording and confirm that everyone whose voice is included was told it would be recorded and that you are allowed to use it for minutes.
    2. Gather the meeting agenda, attendee list, apologies, relevant papers and your organisation's minutes template or house style.
    3. Upload the recording to a chatbot or meeting-notetaker tool, then paste the context and prompt above.
    4. Ask the tool to produce the draft minutes and its separate verification list without filling gaps by inference.
    5. Play the recording again for every decision, name, action owner, deadline and unclear passage, and correct the draft against the audio and meeting papers.
    6. Send the corrected minutes to the chair or responsible colleague for approval, then circulate the approved version to the attendees and store it in the agreed workplace record.

    Prompt

    Turn the attached meeting audio into clear, neutral minutes for a UK workplace.

Use the agenda, attendee list and any meeting context provided below. Do not invent names, decisions, actions, dates, deadlines or reasons. If the audio is unclear, mark the passage [unclear] rather than guessing. Distinguish confirmed decisions from suggestions, questions and unresolved points. Attribute statements only when the speaker is clear; otherwise use neutral wording.

Use this structure:
1. Meeting title
2. Date and time, only if stated in the source material
3. Attendees and apologies
4. Decisions agreed
5. Discussion summary by agenda item
6. Actions, with owner and deadline only where explicitly stated
7. Open questions and matters to carry forward

Keep the minutes concise and factual. Remove repetition, small talk and irrelevant personal comments. Do not present the minutes as approved. After the draft, add a short verification list of every unclear passage, uncertain name, disputed point and action or deadline that needs checking against the recording.

Meeting context:
[PASTE AGENDA, ATTENDEE LIST, ORGANISATION TERMS AND REQUIRED HOUSE STYLE HERE]

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot reliably tell whether an ambiguous remark became a formal decision without the meeting's context or the chair's judgement.
  • AI mishears names, acronyms, numbers and action owners, especially when people interrupt one another or the recording is noisy.
  • AI cannot decide which sensitive discussion is appropriate to include in the official record.
  • AI cannot transfer responsibility for approving or circulating the minutes away from you or the meeting chair.
  • Checking a polished draft against the full recording still takes concentrated human time.

Even on a YES, the friction has a name: verification cost, judgement under ambiguity and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability1
Effort delta2
Total8 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT turn a recording into meeting minutes?
Yes. Give it the recording, agenda, attendee list and a clear format, then check every decision, name, action and deadline against the audio. It should mark unclear passages rather than guess.
Is AI transcription accurate enough for meeting minutes?
It is useful for a first draft, but it can mishear names, acronyms, numbers and overlapping speech. Treat the output as unapproved until you have checked the important points against the recording.
Can AI identify actions and decisions from a meeting recording?
Yes, it can extract likely decisions, action owners and deadlines from a recording. It cannot reliably decide whether an ambiguous comment was formally agreed, so the chair or a responsible colleague must confirm those items.
Is it safe to upload a work meeting recording to AI?
Only if your organisation permits the tool and the participants were told about the recording and its use. Check your workplace privacy, information security and retention rules before uploading confidential or personal information.

Nearby answers

All Minutes & transcription rulings

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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