AI Meeting Note-Takers Compared for Small Teams

If your meeting platform already includes AI notes, start there: Zoom's meeting summary on paid Workplace plans, Google Meet's Take notes for me on Business Standard and above, or Teams recap with Teams Premium or Copilot. If not, Fathom's free plan is the cheapest good option; choose Granola to avoid bots, Fireflies or Otter for heavy transcript search.

Three things change that answer. Where your meetings happen (one platform, a mix, or in a room), who is on the calls (clients and patients raise the bar on consent and sensitivity), and whether the notes need to land somewhere else, such as a CRM. One naming point first: Zoom retired its "AI Companion" brand in June 2026, so the summary features are now simply called things like meeting summary, and they remain included on eligible paid Zoom Workplace plans. ZoomMate, launched in June 2026 at $20 per user a month, is a separate agent product, not the same thing renamed.

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Seven note-takers side by side

List prices below are per user per month in USD as of late September 2026. They change often, so confirm on each pricing page before you buy.

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The per-seat detail, including what counts as a seat, is covered in how much an AI note-taker costs per seat. Here the question is which one suits your meetings.

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Built-in notes: when they win and where they stop

The built-in options win on two counts: no extra vendor holding your recordings, and nothing new for staff to install. If your team is on Google Workspace Business Standard and meets on Meet, Take notes for me is already there; using Take notes for me in Google Meet for client calls covers the setup. If you already pay for Microsoft 365 Copilot, Teams recap comes with it, and the privacy settings are explained in Copilot in Teams meetings: recaps, actions and privacy.

They stop at the edge of their own platform. Meet's notes don't help when a supplier sends a Teams link, and none of the three covers a meeting around the workshop table. The other catch is price when you'd need an upgrade: moving five people from Workspace Business Starter to Business Standard just for notes costs about $35 a month more, which is more than a Fathom Team plan for three hosts.

Bot-based tools: Otter, Fireflies and Fathom

These tools send a participant into the call, usually named something like "Notetaker", which records and transcribes. The visible bot is a feature as well as an annoyance: everyone can see the meeting is being recorded.

• Otter joins Zoom, Microsoft Teams and Google Meet, and its app can record in the room. The free Basic plan caps each conversation at 30 minutes, which ends a typical weekly team meeting halfway through, so treat Basic as a trial. Pro and Business raise the limits considerably.
• Fireflies is strongest at search across a library of calls, which suits a team that often asks "what did we agree with that customer in June?". Its free plan includes transcription and summaries but limited storage, so a busy team fills it quickly.
• Fathom has the most generous free plan of the group: unlimited recordings, transcripts and AI summaries on Zoom, Google Meet and Microsoft Teams, with a choice of bot or bot-free capture. The Team plan adds shared search and folders, and Business adds CRM field sync.

Recording without a bot: Granola

Granola doesn't join the call. It records the audio on your own computer or phone, transcribes it, and, according to Granola, deletes the audio after transcription. You type rough notes during the meeting and it expands them into a structured summary afterwards. For client-facing calls where a bot joining feels awkward, that's a real advantage.

The trade-off is that nobody else can see recording is happening. A visible bot does part of the consent job for you; without it, you have to say it out loud every time. The Business plan at $14 per user a month adds unlimited history and integrations, and Enterprise adds admin controls, including opting the whole team out of model training.

What five seats cost in practice

Here's a quick sum for a five-person team, using the list prices above. It's illustrative; most small teams need fewer seats than people, because only hosts need a licence.

The Copilot figure buys far more than meeting notes, so it only makes sense if you want Copilot anyway. For notes alone, the choice is usually between a free tier, a built-in feature you already have, or one standalone plan for the two or three people who host.

Six questions that decide it for a small team

1. Do more than 80% of your meetings happen on one platform? If yes, the built-in option is usually enough. If you regularly join other people's links, you need a cross-platform tool.
2. Do you hold meetings in a room? Toolbox talks, clinic huddles and site meetings need a phone or desktop app that records locally. Check this specifically; not every tier includes it.
3. Who is on the calls? Internal meetings are low risk. Client, patient or job-candidate calls need consent, careful sharing and a decision about how long recordings are kept. Whether AI note-takers are safe for client calls goes through the risks.
4. Do the notes need to go somewhere? If actions must reach a task list or CRM, look at native integrations or plan an automation. Turning meeting notes into tasks automatically shows how.
5. Who controls retention and sharing? Business tiers usually add admin controls over who sees recordings and how long they stay. On free tiers, each person controls their own.
6. How good is it with your accents and jargon? Trade terms, product codes and names trip every tool. Only a test with your own meetings tells you.

Test two tools on the same meeting

Pick two candidates, run them on the same two real meetings (one internal, one with an outsider who has agreed), and score them. A filled-in example for a weekly 40-minute office meeting:

A tie is common, and useful: it tells you price and convenience should decide. Read both summaries against your own memory of the meeting, not against each other. This is the kind of error to look for, in an illustrative summary:

Action items
- Office manager to order 12 radiator valves for the school job
  by Thursday.
- Owner to call the property manager about access on the 14th.
Decisions
- Agreed to move the boiler service reminders to text message.

In the real meeting, the engineer offered to order the valves, and the text-message reminders were only discussed, not agreed. Both errors are typical: AI summaries tend to assign actions to whoever spoke most recently and to turn a proposal into a decision. That's why someone should read and fix the notes before they are shared.

A five-minute accuracy check you can repeat

Scores feel subjective, so add one number. Take a two-minute stretch of the transcript where people use your trade terms, count roughly 100 words, and mark every error in a name, number, product or technical term. Ignore filler words and small grammar slips.

Say a pharmacy runs this on a recording of its morning team huddle. Tool A gets 3 errors in 100 words ("amlodipine" spelled right, one wrong shelf number, one wrong first name). Tool B gets 8, including two medicine names garbled into ordinary words. The summaries looked similar, but Tool B's transcript can't be trusted for anything specific. As a rough rule, more than about 5 errors per 100 words on names and terms means the tool will need correcting every time, and the time you save shrinks fast. Run the same check again after a month; some tools let you add a custom vocabulary of names and terms, which is worth doing if the option exists.

A worked choice for an eight-person plumbing firm

Consider a plumbing and heating firm with eight people: the owner, an office manager, a scheduler and five engineers. The office runs on Google Workspace Business Starter at about $7 per user a month. Its meetings look like this: a weekly 30-minute office call on Meet, fortnightly calls with a property-management client on Teams, and a Monday toolbox talk in the yard with the engineers.

• Built-in Meet notes would mean upgrading all eight users to Business Standard, about $56 a month more, and would still miss the Teams calls and the toolbox talk.
• Fathom Free for the three office staff covers Meet and Teams at $0, with the bot visible to the client.
• The toolbox talk needs in-room capture. The office manager trials Granola's free Basic plan on a phone for four weeks, announcing it at the start of each talk.

Month-one cost: $0. After two months, the owner wants to search past client calls across the three office accounts, so they move to Fathom Team on annual billing for three seats: $45 a month. The engineers never need seats; they receive the toolbox-talk notes as a shared document. The deciding factor wasn't which tool had the best summaries, since all were close. It was that the firm's meetings spanned two platforms and a yard.

Getting the notes into the format you want

Every tool's default summary is generic. If you already have a transcript, from any of these tools, your approved AI assistant can reshape it into the format your team actually uses. A prompt that works well:

Below is the transcript of our weekly office meeting.
Write the notes in this format and nothing else:

DECISIONS (only things clearly agreed; if unsure, put under OPEN)
ACTIONS (owner by role, task, due date if one was said)
OPEN QUESTIONS (discussed but not settled)
CUSTOMER ISSUES MENTIONED (job reference only, no names)

Rules: don't invent owners or dates. If an owner is unclear,
write "owner not agreed". Keep each line under 20 words.

[paste transcript]

An illustrative result: "ACTIONS: Engineer, order 12 radiator valves, by Thursday. Office manager, confirm access date with property manager, owner not agreed on follow-up." The "owner not agreed" line is exactly what you want to see: it flags a gap for the meeting lead to settle rather than guessing. What you'd still fix: the tool may list an action twice if it was mentioned twice, and it won't know a job reference unless someone said it aloud.

Planning for the day you switch tools

Note-takers build up a library of recordings and transcripts, and that library is the thing that makes switching painful. Before you commit, check three things: whether you can export transcripts in bulk (plain text or documents, not just one at a time), whether summaries can be copied to a place you own, such as a shared drive, and what happens to recordings if you downgrade to a free tier. A simple habit protects you whichever tool you choose: save the checked summary of any meeting that matters into your own shared folder the same day. Then the note-taker holds convenience copies, and your records live with you.

What to say when the note-taker is on

Whichever tool you pick, a standard line in invites and at the start of calls saves awkward moments. Something like:

Calendar invite:
"We use an AI note-taker on this call to produce a summary and
action list. Let us know before the meeting if you'd prefer we
don't, and we'll switch it off."

At the start of the call:
"Just to flag, our note-taker is on so we get the actions right.
Is everyone happy with that? If not, I'll turn it off now."

Where note-takers cause trouble in the first month

• Auto-joining every meeting. Many tools default to joining anything in your calendar, including one-to-ones and HR conversations. Switch auto-join to "only meetings I host" or "only when I add it", and exclude invites with words like "private" or "review" in the title where the tool allows.
• Emailing the summary to every attendee. Useful internally, embarrassing when the unchecked summary goes to a client with a wrong action or an internal comment in it. Turn automatic sharing off for external attendees until you trust the output.
• Keeping everything forever. Set a retention period, such as 90 days for recordings and a year for summaries, unless you have a reason to keep more.
• Staff adding their own free bots. One approved tool per team prevents client calls ending up in three different vendors' clouds.

An osteopathy clinic's practice manager, for example, might switch on a note-taker for the monthly team meeting and discover in week two that it had also joined a one-to-one about a staff member's sickness absence, because it was in the same calendar. Five minutes spent on the auto-join setting before the first meeting avoids that entirely.

Choosing a note-taker: follow-up questions

Do I need everyone's permission to record a meeting with an AI note-taker?

Recording and consent rules differ between places, and some require everyone on the call to agree. The safe habit is to announce the note-taker in the invite and at the start, give people the chance to object, and switch it off if anyone does. For client or patient meetings, check your professional rules and ask an adviser if you're unsure.

Can these tools handle in-person meetings?

Some can. Otter, Fireflies, Fathom and Granola all have ways to capture a meeting in the room, usually through a phone or desktop app, although the details vary by plan. The built-in Zoom, Meet and Teams features mainly cover calls on their own platform. Test the audio in your actual meeting room, because background noise hurts accuracy more than anything else.

How accurate are AI meeting summaries?

Transcripts are usually good on clear audio, but summaries can misattribute who agreed to what, drop a condition, or state a decision that was only discussed. Treat the summary as a first draft. Whoever ran the meeting should read it, fix the action owners and dates, and only then share it.

Should I pay per seat for everyone in the team?

Usually not. Most small teams only need seats for the people who organise or run meetings; attendees can receive the notes without a licence. Start with seats for the two or three people who host most calls, and add more only if others start recording their own meetings.

Further reads

• How to Update Your CRM Automatically After Every Sales Call — Send meeting notes straight into your CRM.
• AI vs Human Transcription: Which Is Worth Paying For? — When a human transcriber is still worth the money.
• How to Review AI Call Transcripts for Quality and Compliance — Spot-check transcripts for quality and compliance.
• AI Note Takers for Financial Advisers: Compliant Meeting Records — How a regulated profession handles meeting records.
• Shadow AI: How to Stop Staff Pasting Client Data Into Free Tools — Stop staff adding free bots to client calls unasked.
• Zoom AI Companion for Small Teams: Summaries and Privacy Settings — Zoom's summary and privacy settings in detail.
• Best AI Tools for Travel Agents: Itineraries, Emails and Research — AI tools for travel agents sorted by the three jobs that eat the week, with prices, what each is weak at, and three example setups by agency size.
• How Wedding Venues Use AI for Viewings, Enquiries and Follow-Ups — Use AI at three points in a venue's sales pipeline: the first reply, the notes after each viewing, and follow-ups timed around provisional holds.
• A Wedding Planner's AI Workflow From Enquiry to Final Timeline — One illustrative planner's year with AI, stage by stage: consultation notes, proposal, suppliers, guests, confirmations and the wedding-day timeline.
• Advice-Specific AI or ChatGPT: Which Should an Advice Firm Use? — What adviser-specific AI adds over a business ChatGPT plan, one meeting written up both ways, and how a four-adviser firm split its budget.
• Best AI Tools for Small Accounting Firms, Sorted by Task (2026) — Eight accounting-firm tasks, the AI tool that suits each, verified list prices, a worked example per task and three costed stacks by firm size.
• AI Session Notes and Follow-Ups for Coaches: A Weekly Workflow — A week-shaped routine for coaches: capture sessions with consent, turn transcripts into your own notes, send same-day follow-ups and review clients on Friday.
• The AI Tool Stack a One-Person Consultancy Actually Needs — Five layers, priced honestly: what a solo consultant should pay for, what's already included, what to skip, and how to tell a tool is earning its place.
• How Recruiters Use AI to Write Candidate Summaries Clients Read — A summary format hiring managers actually read, the prompt that fills it from your screening notes, a sample output with fixes, and the five-minute claim check.
• Can Lawyers Use AI Note Takers in Client Meetings? — When an AI note taker is fine in a client meeting, when it isn't, the consent wording, and how to turn a transcript into an attendance note.
• Is It Safe to Let AI Listen to Mortgage Advice Calls? — The data on a mortgage advice call, six risks with a control for each, vendor small print to check, consent wording and an accuracy test to run first.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: Otter.ai pricing page; Fireflies pricing page and its July 2026 pricing guide; Fathom pricing and video-conferencing integrations pages; Granola pricing page; Google Workspace edition comparison for Take notes for me; Microsoft documentation on Teams intelligent recap licensing; Zoom announcement retiring the AI Companion name (June 2026).