29 August 2026
An AI meeting assistant is software that listens to a video call, turns speech into a running record of what was said and decided, and can answer a question spoken to it mid-call. Every product sold under that name does some version of those three things. The differences that matter are how it gets into the room and what it quietly cannot do once it's there.
Strip away the marketing and every AI meeting assistant does the same three jobs: it transcribes the call as it happens, it maintains a set of notes and decisions that update while people are still talking rather than after, and it can be addressed directly — 'what did we agree with legal last week' — and answer out loud or in text. Some also search across every past meeting a team has had, not just the current one.
That's the whole category. A tool that only produces a transcript after the call ends is closer to a recording service than an assistant. The word 'assistant' implies it's doing something with the transcript while the meeting is still live — structuring it, and being askable.
Underneath that shared job description there are two genuinely different ways to build it, and they behave differently in ways a demo will show fast.
The first is a bot that dials into someone else's call. It's a separate piece of software — often a small app with a face and a name — that joins a Zoom, Meet or Teams call as a guest participant, the way a person would. Someone has to invite it, a host usually has to admit it, and everyone on the call sees a new tile join partway through.
The second is native: the assistant is built into the video platform itself, present in the room from the first second because it's part of the software running the call, not a visitor to it. There's no bot to admit and nobody watching a stranger join mid-meeting. AVAY works this way — the AI participant is part of the meeting the moment it starts, transcribing and taking notes without anyone inviting anything.
The architecture decides more than it looks like it should.
A bot-based tool depends on being let in. If a host forgets to admit it, or a participant removes it partway through because it's distracting, the record for that stretch of the meeting is gone. A native assistant has no admit step to forget.
Where the audio and transcript live also differs by design, not by policy: a dial-in bot typically sends the call's audio to the bot vendor's own servers for processing, a separate company from whichever video tool is running the call. A native assistant processes the call inside the same platform the meeting is already running on, so there's one fewer party with a copy of what was said.
Latency to a live question splits the same way. Answering out loud mid-call requires the assistant to already be listening in real time with low delay — that's easier for something built into the call's audio pipeline than for a bot receiving a secondary feed.
Definition pages tend to stop at the capability list. The limits are the part worth knowing before a vendor conversation, because every product in this category shares them.
No assistant, native or bot, can attend a meeting that isn't happening on video through the platform it's part of — a hallway conversation, a phone call with no dial-in bridge, a decision made over Slack an hour later. It can only structure what it heard. It also can't reliably tell a decision from a strong suggestion when the room itself is ambiguous about which one just happened; it repeats the ambiguity back to you, structured but not resolved. Bad audio produces a bad transcript regardless of architecture — no model fixes a call taken from a car with the window down.
Two more limits are specific but worth naming because they surprise people later. A recording, where one exists, is commonly saved to the machine that made it rather than kept centrally in the cloud, so it isn't automatically available to someone who wasn't there. And anything shared live during the call — a screen, a file dropped in chat — is usually live-only: someone who joins the recap afterward sees the notes about it, not the file itself.
Most vendor pitches sound identical on the phone. These four questions surface the architecture in under a minute.
| Bot-dial-in assistant | Native assistant | |
|---|---|---|
| How it joins | Dials in as a guest; usually needs a host to admit it | Built into the call software; present from the start |
| Where processing happens | Sent to the bot vendor's own servers | Handled inside the platform running the meeting |
| Risk if forgotten | No admit, no record for that stretch | No admit step to forget |
| Live spoken answers | Depends on the bot's audio feed delay | Built for the call's own real-time audio path |
Mostly, yes — 'notetaker' and 'meeting assistant' are used for the same category, though 'assistant' implies it can also be asked questions live, not just produce notes after the fact. If a tool only outputs a transcript once the call ends, it's closer to a recorder than an assistant.
Some do and some only transcribe without keeping the audio or video. Where a recording exists, it's often saved to the device that made it rather than stored centrally, so check whether a teammate who missed the call can actually reach it.
A bot-based assistant can sometimes dial into a conference bridge if the vendor supports it, but a native assistant that's part of a browser-based video platform generally can't — it's built into the call, and a phone call isn't running on that platform.
With a bot-dial-in tool, yes — it usually appears as its own participant tile that someone has to let in. With a native assistant, it's part of the meeting software itself, so there's no separate join to notice, though it should still be disclosed the way any recording would be.
It can only reflect back what the room said, structured into something readable. If the room itself never clearly said 'we're doing this,' the assistant will produce a tidy summary of an unresolved conversation, not a decision that wasn't actually made.
An AI meeting assistant transcribes, structures and answers questions about a call while it's happening — every product in the category does that much, and the real split is whether it's a bot invited into someone else's meeting or built into the platform running it.
AVAY is a video meeting platform that transcribes the call itself — no bot joins, because there is nothing to join. Start one at avay.ai, read how each part works in the documentation, or see what it costs.