What to Check in an AI Meeting Transcript
A meeting summary can read well and still get an important detail wrong. A price may be misheard, a company name misspelled or a customer's question attributed to the salesperson.
Before judging how polished the summary looks, check the transcript it came from. Errors there can carry into action items and coaching observations.
Check the details people will act on
Names, prices, dates and quantities deserve a closer look. If someone said €215,000 and the transcript says €250,000, the sentence may remain perfectly readable while changing the meaning of the discussion.
Check those details against the audio, especially before sending a follow-up or updating an offer. Ask whether the tool makes corrections straightforward and whether the corrected information appears in later outputs.
Check who said it
“We can deliver in October” means something different when it comes from the supplier than when it is a customer asking for confirmation.
Review speaker labels around commitments and objections. Include a shared microphone in your evaluation if colleagues often join from one room. Our same-meeting comparison found attribution problems in that setting, although one recording cannot establish how a tool performs in every room.
Use your own vocabulary
A clean English demonstration may tell you little about the names and expressions your customers use. Include local company names, product terminology and language changes in a test recording.
Have someone familiar with the conversation review the output. They are more likely to notice a plausible-looking substitution than a reader seeing the transcript for the first time.
Read the summary separately
Even a good transcript does not guarantee a good summary. Check whether a suggestion became a supposed decision or a question became a commitment. Follow important statements back to the original passage.
A useful meeting tool makes that check easy. You should be able to find the source without replaying the entire call.
Upload a recording to see how Teneks handles a meeting you know. For teams working across markets, our multilingual evaluation guide covers the details worth including.
Try it on a call of your own
Everything above is easy to claim and easy to check. Drop in a real recording (your language, your speakers, your background noise) and read the transcript and summary of the first 30 seconds. Free, no account.
Test your recordingWritten by Arne Niitsoo
Arne is the founder of Teneks, a call intelligence platform built in Tallinn, Estonia. His work lives inside real conversations: how speech becomes text, how voices get told apart, and why the languages of the Nordics and Baltics break most tools. He writes from what he hears in real calls, not from theory.