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As of 13 August 2026, AI can turn a transcript into formal minutes.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsThe supplied data gives no price for a human minute-taking service; Sembly is a purpose-built software alternative that writes minutes and tracks decisions and tasks.
If this goes wrong: a decision, disagreement or action owner is recorded incorrectly and the team relies on a false official record.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the transcript and the meeting invitation or agenda, then gather the meeting title, date, chair, minute taker, attendees, apologies and any required minutes template.
- Paste the meeting details and the complete transcript into the prompt, keeping speaker names and timestamps where they exist.
- Ask the chatbot to produce the formal minutes and the separate verification table, using '[not stated]' instead of filling gaps.
- Compare every listed decision, action owner and deadline with the corresponding transcript passage, and correct anything the draft has inferred or misattributed.
- Send the corrected draft to the chair or meeting owner to confirm unresolved points, sensitive wording and whether the record is ready for approval.
- Apply the organisation's minutes format, mark the document as draft until approved, then circulate or store the approved version in the normal workplace record.
Prompt
Turn the transcript below into formal meeting minutes for a UK workplace. Use only information stated in the transcript or meeting details, and do not invent names, decisions, dates, deadlines, votes or action owners. Separate confirmed decisions from discussion, suggestions and unresolved points. Include: meeting title, date, time, location or platform, chair, minute taker, attendees, apologies, agenda items, a concise discussion summary for each item, decisions made, actions with owner and deadline where stated, conflicts or risks raised, and the date of the next meeting if stated. Mark missing information as '[not stated]'. Preserve the meaning and level of certainty in the transcript. Use a neutral, concise, formal tone and UK English. After the minutes, provide a verification table with each decision and action, quoting the relevant short transcript wording and identifying anything ambiguous or needing confirmation by the chair. Do not treat the transcript as approved minutes. Meeting details: [Paste the meeting title, date, time, location or platform, chair, minute taker, attendees, apologies, agenda and any required minutes template here] Transcript: [Paste the complete transcript here]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know whether an informal remark was intended as a binding decision unless the transcript makes that clear.
- AI cannot reliably resolve overlapping speakers, sarcasm, poor audio or incorrect speaker labels without someone who attended the meeting.
- AI cannot decide which sensitive discussion should be recorded in full, summarised or handled under your organisation's governance rules.
- AI does not carry responsibility for the official record, so the chair or meeting owner must approve the minutes.
Even on a YES, the friction has a name: 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.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT write formal meeting minutes from a transcript?
- Yes. It can produce a structured first draft with decisions, actions, attendees and unresolved points from a transcript. Check the draft against the transcript and get the chair or meeting owner to approve it.
- How accurate are AI-generated meeting minutes?
- They are useful for a first draft but can misattribute speakers, turn suggestions into decisions or assign an action to the wrong person. Accuracy depends on the transcript, so verify every decision, owner and deadline before circulation.
- What should I give AI to write meeting minutes?
- Give it the complete transcript, meeting title, date, attendee list, apologies, agenda, chair's name and your organisation's minutes template if you have one. Keeping speaker labels and timestamps makes decisions and action owners easier to check.
- Can AI minutes be used as official meeting minutes?
- They can be a draft for the official record, but the relevant chair or meeting owner should check and approve them. Do not circulate them as approved minutes until factual errors, ambiguities and sensitive wording have been resolved.
Nearby answers
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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