A note before the routes. Note-taking tools are changing quickly, so treat feature specifics as a snapshot. The judgement parts, what to trust in AI notes and the etiquette of recording colleagues, will outlast every version.
Meeting notes are the most resented task in office life for a structural reason: you cannot do them properly and participate properly at the same time. Every meeting forces the choice between listening and typing, then donates an extra twenty minutes afterwards for turning whatever you typed into something another human could use.
It is also the first job most people successfully hand to AI and never take back. If you delegate exactly one thing this year, make it meeting notes.
The question is how, and there are three honest routes rather than one, because the right answer depends on what you already have and what your meetings contain.
The short answer: pick the route your workplace already allows, trust the transcript more than the summary, and tell the room you are recording.
The three routes
| The route | What it looks like | Where it fits |
|---|---|---|
| A dedicated app, Granola being the standout | Runs on your Mac, Windows machine or iPhone, listens to the call's audio without any bot joining, and merges the rough notes you type with the full transcript into structured notes. Templates shape the output by meeting type, and you can ask questions across your meeting history afterwards | People in back-to-back meetings, especially external ones where a bot appearing in the participant list changes the room |
| The built-in option, Copilot in Teams | Recaps, transcripts and action items inside the tools your company already runs and has already approved | Internal work meetings at organisations with Microsoft licences, where "already sanctioned" beats "slightly better" |
| The tool you already have | Paste a transcript into ChatGPT or Claude and ask for decisions, actions with owners, and a recap, or use ChatGPT's record mode for the capture itself | Occasional meetings, zero new subscriptions, and full control over exactly what gets processed |
Granola's particular trick is worth understanding, because it explains the devotion of its users. Most note-takers record everything and hand you a wall of transcript, which simply relocates the work.
Granola instead watches what you jot down during the meeting and uses the transcript to fill in the context around your notes. The output reflects what you thought mattered, rather than a generic summary of the noise. It also deletes the raw audio after processing, which matters for the section below.
What to trust in AI notes
The two layers of an AI note deserve very different levels of trust:
- Transcription is the mature layer. It is mostly right, though names, numbers and jargon still garble, so anything bookable or quotable gets checked against the source.
- Summaries and actions are the risky layer. A summariser decides what mattered, and it sometimes decides wrongly.
The failure modes are consistent, and once you have seen them you spot them quickly:
- A throwaway comment elevated into a decision
- The actual decision compressed into nothing
- An action item assigned to the wrong person
The working rule is a two-minute skim of the actions and decisions while the meeting is still fresh, before the notes travel anywhere. AI notes that nobody reviews are how a misheard commitment becomes a calendar entry. The same instinct applies to anything else the tool writes for you, which is what the pre-send check covers.
The consent rule
Every route above involves recording colleagues and clients, which carries obligations that arrived long before AI did. Know the rule where you work, and tell people you are capturing notes regardless of what the law minimally requires.
Three things worth settling before your next call:
- The legal position. Recording consent rules vary by region, and some places require everyone's agreement.
- Your company policy. Many organisations have their own line on recording meetings at all, and it overrides your preference.
- The announcement. A tool with no bot in the participant list announces nothing, which makes telling the room your job rather than the software's.
There is a data question wearing a different hat, too. Your meetings may contain the most sensitive information you touch in a week, so a note-taker for work use should clear the same bar as anything else you paste work content into. Granola, for its part, processes the raw audio and then deletes it. Company policy still decides for work meetings.
The honest recommendation
Start with what you already have:
- Teams with Copilot. The sanctioned recap is the path of least resistance for internal meetings, and the Copilot and ChatGPT split sets out where each one earns its keep.
- Wall-to-wall calls. If the notes job is genuinely eating your evenings, Granola is the best-in-class version and the one that changes the habit.
- Occasional meetings. ChatGPT plus a pasted transcript does the job for nothing extra.
The tool matters less than the two rules that ride along with all three: review the actions before they travel, and never record a room that does not know.
Not sure where to start?
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Clair helps non-technical professionals know when to trust their AI, when to check it, and when to skip it.