AI note taker, AI meeting assistant, or AI sales co-worker: which one your sales team needs

An AI note taker records a sales meeting and hands back a transcript and a summary. An AI meeting assistant does the same, and answers questions about the meeting when you ask. An AI sales co-worker treats the meeting as one input to the deal and starts the work after it (the follow-up, the CRM update, the next steps) without being asked. Each one stops at a different place, and where it stops is the whole decision.

Quick answer: if your meetings all happen on one platform, the recap is already built in and you may not need to buy anything for the summary. A standalone AI note taker still earns its place when meetings spread across Zoom, Teams, Google Meet, the phone and the room, and there is no CRM of record yet. An AI sales co-worker is the answer when the work after the meeting is the problem (the follow-up, the CRM update, the next steps), whether or not anything records your meetings today; it needs a deal to work from, so a CRM of record. This guide defines all three, shows where the meeting platforms now sit, and ends with a table for deciding.

An AI note taker is software that joins your meeting, records it, transcribes it, and sends a summary with action items when it ends. Fireflies and Otter are the familiar names; most teams meet the category as a bot that appears in the participant list.

It does that job well. The AI meeting notes it sends are useful: the transcript is searchable, the summary is readable, the action items are usually right, and all of it arrives without anyone typing. For a team whose recap used to be three lines in the CRM at the end of the day, if at all, that is a real change.

Where the output lands says a lot about the category: an email to the host, a document in a shared folder, sometimes a note attached to a CRM record. The note taker’s job is done when the transcript and the summary exist. Level one stops here.

Mechanically, every AI note taker does four steps. It records the meeting, either by joining as a bot or by using the platform’s own recording. It turns the audio into a transcript with the speakers labeled. It turns the transcript into an AI meeting summary, a list of decisions and a list of action items. And it delivers that summary within minutes of the meeting ending: to its own app, by email, into a document, or as a note on a CRM record, depending on the product and how it is set up.

The category exists because the recap barely existed before it. Sales teams talked all day and wrote almost nothing down; note takers made automatic meeting notes the default. That was the whole promise, and it was kept.

It is also why there are now more note takers than any team could evaluate. Every one of those steps is available off the shelf. When the parts are that easy to assemble, the category fills up fast, and the meeting platforms (Zoom, Teams, Google Meet) build the same four steps into the software you are already meeting in. The next two sections are about that: who builds note takers, and what the meeting platforms now include.

The three things a note taker knows

A note taker knows the meeting, the people in it, and the words that were said. It does not know the emails before the meeting, the CRM record, or the three previous meetings on the same deal. Every summary it writes is a summary of one hour, standing on its own.

More than any team could evaluate, and the list grows every month. G2 files them under AI meeting assistants; that category alone lists 193 products. Below are eleven of the names that come up, unranked, grouped by how they get into the meeting. This table shows who is in the category. The table in “Which one does your sales team need?” is how you choose.

Two things the list shows. Six of the eleven host in the EU by default and two more offer it, which answers the legal team’s first question. The second question is where the AI model that writes the summary runs, and for several of these it is not where the storage is. And the two sold to sales teams, Leexi and Claap, describe more than the summary on their own pages: CRM fields, call coaching. That pull, from the recap toward the work, is the subject of the rest of this guide. None of it moves where level one stops. Level one is the transcript and the summary; what a vendor adds on top is the next level’s question.

Yes. All three meeting platforms now write the summary themselves, and ChatGPT records too.

Zoom AI Companion, now built in, with ZoomMate on top

Does Zoom have an AI note taker? It does, built in. Zoom retired the AI Companion name in June 2026. The meeting summary it produced is still there, built into Zoom Workplace on eligible paid plans: a quick recap, the discussion by topic, and next steps for the host to edit and share. On top of that, Zoom launched ZoomMate, a paid add-on that, in Zoom’s words, “takes it further” by “scheduling the follow-ups, drafting the deliverables, and updating your project tracker.” Its product page adds Salesforce updates and follow-up emails to the list. Zoom selling the work after the meeting as a product of its own says where at least one platform thinks the value has moved.

Microsoft Teams intelligent recap

In Teams, the recap of a transcribed meeting includes AI-generated notes and follow-up tasks; with a licence, those are Copilot meeting notes. With Copilot, you can ask questions about the meeting afterwards and draft a recap email that carries the summary and the follow-ups.

Google Meet “take notes for me”

Gemini meeting notes in Google Meet come from the Gemini “take notes for me” feature: it captures notes during the call and saves them as a Google Doc linked to the calendar event, with a summary, decisions and suggested next steps. The organizer gets an email with the link when the meeting ends.

ChatGPT record mode

ChatGPT meeting notes come from record mode, which captures a meeting from the desktop app, produces a transcript and a structured summary with action items, and will rewrite the notes as an email if you ask. It is the newest recorder on the list.

Four platforms, one conclusion: the recap is becoming a built-in feature of wherever the meeting happens, and at least one platform is now selling the work after it as well. A standalone note taker still does the job well; whether a team needs a separate one is now its own question to answer. The question this guide is about moves from who writes the summary to what happens to it.

Can ChatGPT take meeting notes? Yes. Can Copilot take meeting notes? Yes, as the section above shows. And there is an honest next step most teams have already taken: paste a transcript into ChatGPT, Claude, Copilot or Gemini and ask for a follow-up email. You will get a good one. Ask for the action items, the objections, a one-paragraph summary for your manager, and you will get those too. This is the meeting assistant in do-it-yourself form, and it is where a lot of sales teams are right now.

What it lacks is not intelligence. Everyone uses the same models. The difference is what they know. The generalist knows the transcript you pasted. It does not know that the champion went quiet two weeks ago, what your colleague promised in the last email, or that the close date in the CRM is already a month stale. Its follow-up is a good summary of one meeting, written without ever having seen the deal.

That is not the model’s fault. It was given one meeting and nothing else. Give it the deal as well and it becomes a better assistant. It is still an assistant, which is what the next section defines.

An AI meeting assistant is a note taker with a chat surface. It records and summarizes like level one, and then lets you ask: what did the customer say about budget, draft me a follow-up, list what we promised. Ask, and it answers. That is a real step up from a recap nobody reads.

Most note takers have grown into one. Fireflies answers questions about a meeting through AskFred, Otter through its AI Chat, and Copilot does the same for a Teams meeting. So the second level is rarely a separate shopping list. It is usually the product a team already has.

It is shaped by the same limit, though. It answers about the meeting, because the meeting is what it knows, and it answers when asked, because asking is how it starts. Level two stops at the meeting.

An assistant waits to be asked. A transcript waits to be read. A co-worker notices what the meeting changed, and starts the work before you ask.

That is the assistant to co-worker step in three lines, and it is what makes Ollie an AI sales co-worker, not an assistant. The middle level is the one most comparisons skip, and it is where most sales teams actually are.

Levels one and two stop at the meeting. Level three starts from the deal, and it starts without being asked. This is the point where this guide stops describing other products and describes ours.

For a long time the recap barely existed. Then note takers made it automatic, and that is what showed the recap was never the work. A note nobody reads is not follow-up; it is filing. What moves the deal is what the recap describes: the email the buyer is waiting for, the deal record that tells the truth again, the next steps someone owns.

Some vendors call this level an AI sales agent; the name matters less than the same two questions, what it knows and when it acts. With Ollie, the AI sales co-worker Optivian builds, this is what exists minutes after a deal meeting ends:

Where the work comes from

Ollie is built on Optivian, the deal intelligence layer. Optivian reads the meeting alongside every email and the CRM record and keeps what it knows about each deal current; Ollie drafts, proposes and delivers the work.

That is what the earlier levels do not have. Optivian reads what the buyer said about budget, authority, timing and criteria from their side of every interaction, not this meeting only, and it accumulates. The meeting is one input. Because the same layer reads the emails and the CRM, the work after the meeting is drafted from the deal, and the next meeting’s briefing knows more than the last.

Are AI note takers worth it for a sales team?

Yes, when the recap does not exist yet; that is the job they were built for, and they do it. Three signs a team has outgrown level one or two, in the order they usually appear. The recaps pile up unread, and everyone knows it. The CRM still lags the conversation, so pipeline reviews run on memory. And the follow-up still waits for the rep’s spare time, which is the one thing a rep with a full pipeline does not have.

The meeting platforms are starting to sell the work after the meeting too, and ZoomMate is the plainest example. The table’s two questions apply to them as well. What does it know? Zoom describes ZoomMate as working from the meetings it captures and the apps you connect to it. When does it act? Across the workday, as Zoom puts it. A co-worker built on the deal answers both differently: it knows the deal, because the emails, the CRM record and every earlier meeting are already in the picture before the call starts, and it acts when the deal changes. For a sales team, that second pair of answers is the one the table describes.

One recorder, or two

A co-worker that records natively raises a practical question: what happens to the note taker you already pay for? Coexistence first. Transcripts already synced to your CRM are imported and read the same way as native recordings, so nothing is lost in an evaluation. If the team later decides one recorder is enough, the standalone note taker becomes a line item it can drop on its own schedule; checks 7 and 8 in our Gong-alternatives guide cover the recorder question and the cost math.

We build level three. Optivian gives your team Ollie, an AI sales co-worker built for B2B sales teams, on a persistent deal intelligence layer. Optivian records and transcribes deal meetings natively, and reads whatever your current recorder has already synced to the CRM the same way, so nothing has to be re-recorded to be understood. It connects to Salesforce, HubSpot and Pipedrive. The work after the meeting arrives in Slack or Teams; the summary and the approved updates land in the CRM. Everything Optivian knows about a deal is also open to the AI your team already uses (here is what that looks like in Claude). Optivian is ISO 27001 certified.

Jobilla, a recruitment marketing company selling into employers across Europe, ran a meeting recorder before Ollie. It captured the call, and then it waited for somebody to come back to it. After the hire, Optivian reads over 1,000 meetings and around 600 emails a month for the team, and Ollie delivers over 2,000 pieces of finished work in the same month: the follow-up written, the CRM update drafted, the deal created, delivered into Slack for the rep to check and approve. All 25 sellers work with Ollie every day.

Read the Jobilla case study