How to check if your AI meeting summary is accurate

An AI summary lands in your inbox two minutes after the call ends. It reads well. It is organised, confident and complete. The question is whether it is right, and you usually find out only when someone acts on a line that nobody actually agreed to.

You don't need to re-listen to the whole meeting to catch that. You need to check the right lines, in the right order, against what was said. This is the routine we use, and it is fastest when every meeting note cites its source, because each check becomes one click.

Check the lines people will act on first

Most of a summary is context: who was there, what was discussed, the background. If a context line is slightly off, nothing happens. The lines that cause damage are the ones that turn into work, money or promises:

• decisions
• action items, with their owners and due dates
• numbers: prices, quantities, budgets, percentages
• dates and deadlines
• anything that will be sent to a client

Check those, and only those, before the summary leaves your hands. On a one-hour call that is usually five to ten lines.

The eight checks

1. Every decision has a source. For each decision, find the moment it was made. If the summary links lines to timestamps, play it. If it doesn't, search the transcript for the key words. A decision you can't find in the call isn't a decision yet.

2. Hedges survive. "We could probably ship by Thursday" is not "We ship Thursday." Look for the words that soften a commitment (probably, maybe, if, should, ideally) and make sure the summary kept them.

3. Questions stay questions. "Should we drop the free tier?" is easy to write up as "The free tier is dropped." If a line reads like a decision, check that someone answered the question.

4. Owners are the people who said "I'll do it". Summaries tend to assign a task to whoever talked about it most. The owner is the person who took it on, in their own words. If nobody did, the item has no owner yet, and the summary should say so.

5. Relative dates are resolved correctly. "Next Thursday" depends on the day of the meeting. "End of the month" depends on which month. Check every date against the calendar, not against the summary's guess.

6. Numbers match exactly. Prices, discounts, head counts and percentages must be the numbers that were said. A summary that rounds or merges two figures from different parts of the call is a common and expensive error.

7. Two topics haven't merged. When a call covers several projects, a figure or a deadline from one can end up attached to another. Check that each decision sits under the topic it was made in.

8. Names and terms are spelled right. People, products and clients are the words a transcription model knows least. This matters most in calls that mix languages, such as Arabic and English in the same sentence. A misspelled client name in a shared summary is the error everyone notices.

A ten-minute routine

1. Right after the call, open the summary while the meeting is still fresh.
2. Scan for the action lines: decisions, action items, numbers and dates. Ignore the rest for now.
3. Verify each one against the moment it came from, using the eight checks above.
4. Fix the summary itself, not just your memory of it. The next person to read it won't have your corrections in their head.
5. Then share it. If a line still has no source or no owner, say so in the summary instead of leaving it out.

If you do this every time, it gets fast. Most of the ten minutes is the first time you do it.

When you find an error

Correct the line, and if the summary was already shared, send the correction to the same people. Then note the kind of error. If your tool keeps turning maybes into commitments, or keeps misspelling the same client, you know where to look first next time.

What makes this faster

The slow part of checking is finding the moment in the call. A summary where every line carries a timestamp turns each check into one click. That is how MeetNotely writes notes: each summary line, decision and action item is linked to the second it was said, the transcript shows who said what, and questions you ask a meeting come back with their source. Every feature in detail covers the rest, and how it works follows one meeting from record to cited notes.

A citation doesn't make a note correct. It makes it checkable, which is what lets you stand behind it. How strict to be depends on the document: a summary can be corrected in a follow-up message, but minutes, unlike notes or a transcript, become the approved record. If you write minutes for formal meetings, our guide to writing meeting minutes with AI applies the same idea to the whole document.