AI Meeting Assistant vs Meeting Recorder: What Actually Changes

Recording is not the outcome

Teams rarely lose meetings because nobody recorded them. They lose meetings because nobody follows through. The recap arrives late, the action items have no owner, the customer never gets the promised email, and the next call starts by reconstructing what happened last time.

That is the real difference between a recorder and an assistant. A recorder creates a file. An assistant creates the next step. If your team already has recordings but still wastes time replaying calls, the missing piece is not capture. It is conversion from conversation to action.

The category has blurred, which is why buying is confusing. Almost every recorder now advertises an AI summary, and almost every assistant still stores a transcript. The line that still holds is whether the product produces something a person has to act on, or something a person has to read.

Where the handoff actually breaks

The failure is almost never in the transcript. It is in the ninety minutes after the call, when the person who owns the follow-up is already in the next meeting. By the time they come back to it, the context has cooled and the email that would have taken four minutes now takes twenty because they have to reread everything first.

Three specific things go missing in that gap, and they are worth naming because most evaluations only test the first one.

• The decision, separated from the discussion. A summary that lists eight topics is not the same as a note that says "we agreed to push the launch to the 14th". Only one of those changes what anyone does next.
• The owner, attached to the task. An action item with no name on it belongs to nobody. Test whether the tool infers the owner from who committed in the call, or just lists verbs.
• The artefact itself. The promised proposal, the recap email, the ticket, the updated CRM field. This is the one almost nothing produces, and it is the one that actually clears your afternoon.

Run that test on your own last five calls before you look at a single pricing page. Count how many of those calls produced a decision you can point to, an owned task, and a finished artefact. Whatever that number is, it is the baseline any tool has to beat.

What buyers should evaluate

One more question belongs on that list and rarely makes it: what happens on the meeting you forgot to invite the tool to? Bot-based capture only works when the bot is on the invite. Some products also capture from the device itself, which covers the impromptu call that turns out to be the important one.

Sistava ships meeting assistants inside full pre-built teams, so the recap can flow into sales, support, or operations work without a handoff.

The tools people actually compare

Five products come up in almost every one of these evaluations. Prices and limits below were read from each vendor's own pricing page in August 2026, and they move often, so treat them as a starting point rather than a quote. What matters more than the number is the shape of each product, because that is what does not change month to month.

Otter.ai

Otter is the best known name in live transcription and sits closest to the classic note-taker. It joins Zoom, Teams and Google Meet, transcribes live with speaker identification, captures action items, and offers an AI chat over your meeting history. It also syncs to Salesforce and HubSpot and exposes Zapier and MCP connections on the higher tiers.

The thing to watch with Otter is that almost every dimension is metered. Its free Basic plan lists 300 transcription minutes a month, three lifetime file imports, and a 30 minute cap per conversation. Pro is listed at $16.99 per user monthly or $8.33 billed annually, with 1,200 recording minutes and a 90 minute meeting cap. Business is listed at $30 per user monthly or $19.99 annually, with unlimited recordings, a four hour meeting cap, and up to three concurrent meetings.

• Best for: teams who want reliable live transcription with speaker labels and a familiar interface, and who can live with minute caps.
• Strengths: mature live transcription, speaker identification, action item capture, CRM sync, and an enterprise tier with SSO, SCIM and HIPAA availability.
• Trade-offs: meeting length and monthly minutes are capped on lower plans, AI chat queries are limited per plan, and the output still lands as notes for a human to act on.

Fireflies.ai

Fireflies leans hardest into the searchable archive. It records across Zoom, Google Meet, Teams and more than ten other conferencing platforms, supports transcription in over 100 languages, and gives every plan unlimited transcription and unlimited AI summaries. Its differentiators are Smart Search, Soundbites for clipping moments out of a call, and conversation intelligence on the Business tier.

Pricing is structured around storage and AI credits rather than minutes. The free plan lists 400 minutes of storage per team and 20 AI credits. Pro is listed at $10 per seat monthly billed annually, regularly $18, with 8,000 minutes of storage per seat. Business is listed at $19 per seat annually, regularly $29, with unlimited storage, 30 AI credits, multi-language mode and team analytics. Enterprise is listed at $39 per seat billed annually with SSO, SCIM, HIPAA compliance and audit logs. API access appears on every plan.

• Best for: sales and success teams who need to search across hundreds of past calls and pull evidence out of them.
• Strengths: unlimited transcription on every plan, very wide language and platform coverage, strong search and clipping, API access at every tier.
• Trade-offs: the AI credit model means the smart features, not the recording, are what you actually ration, and the archive still needs someone to mine it.

Fathom

Fathom is the most generous free tier in this group and the one most often adopted bottom-up by an individual rep. The free plan lists unlimited recordings and transcriptions, instant AI call summaries, clips, playlists and search across calls, and lets you choose bot-free or bot capture. That choice matters more than it sounds, because bot-free capture covers the calls nobody remembered to invite a bot to.

The paid ladder is where the work-producing features sit. Premium is listed at $20 monthly or $16 billed annually and adds AI-generated action items and a conversational meeting assistant. Team is listed at $19 per user monthly or $15 annually with a two user minimum. Business is listed at $34 per user monthly or $25 annually and adds CRM field sync that updates records after meetings, a deal view, and coaching scorecards.

• Best for: individuals and small revenue teams who want a serious free tier and a clean upgrade path into CRM automation.
• Strengths: unlimited recording at zero cost, bot-free capture as an option, CRM field sync on Business, coaching metrics for managers.
• Trade-offs: AI action items are a paid feature rather than a free one, and the deeper revenue features carry a two user minimum.

Granola

Granola takes the opposite approach to everyone else here. Instead of sending a bot into your call, it works from the device and blends your own typed notes with what it heard, so the output reads like notes a person took rather than a machine transcript. That suits founders and executives who type during calls anyway and find a visible bot socially awkward with customers.

The free Basic plan lists AI meeting notes with limited history, AI chat within and across meetings, shared folders, custom templates and multi-language support. Business is listed at $14 per user monthly and adds unlimited notes, advanced AI features, integrations with Notion, Slack, HubSpot and Zapier, plus API and MCP access. Enterprise is listed at $35 per user monthly with single sign-on, organisation-wide controls and analytics. Granola's pricing page does not state whether audio is retained, so ask before you assume either way.

• Best for: founders and executives who take their own notes and want them sharpened rather than replaced, with no bot visible to the other side.
• Strengths: no bot in the call, notes that read like a human wrote them, chat across your whole meeting history, MCP and API access on Business.
• Trade-offs: free history is limited, the model assumes you are present and typing, and it is a notes product rather than a work-producing one.

Sistava

Sistava is the only entry here that is not primarily a meeting product. You hire an AI Employee for a role, and joining meetings is one of the things that role does. The employee attends Zoom, Google Meet or Microsoft Teams, produces the summary and the action items like the others, and then keeps going: it drafts the follow-up email, updates the CRM record, opens the ticket, and books the next call, holding anything consequential for your approval first.

That is a better fit when the meeting is a step inside a job rather than the job itself, and a worse fit when all you wanted was a transcript archive. Plans start at $25 per month and the meeting capability is one part of a broader role rather than a per-seat note-taking licence.

• Best for: teams where the work after the meeting is the bottleneck, not the notes.
• Strengths: the follow-up email, CRM update and ticket actually get produced, approvals gate anything risky, and the same employee owns the surrounding function.
• Trade-offs: it is more than a note-taker, so it is more than you need if a searchable transcript archive is genuinely the whole requirement.

There is a sixth option worth checking before you buy any of them: the one already in your subscription. Zoom states that AI Companion is included at no additional cost with eligible paid Zoom plans, and that it summarises meetings, identifies action items and stakeholders, and surfaces next steps into Team Chat. If your team lives in Zoom and your requirement stops at summaries, you may already own a workable answer.

The consent and trust layer

Meeting capture touches people, not just software. Treat disclosure as part of the workflow. Name the assistant clearly, explain what it captures, and set rules for sensitive meetings. External customer calls, recruiting calls, board meetings, and HR conversations deserve stricter defaults than routine internal syncs.

A strong meeting assistant should make those choices configurable. Some teams want every sales demo captured. Some want legal and HR excluded by default. Some want transcripts stored, while others only want a short recap. The right system lets your policy drive the assistant, not the other way around.

Recording law is not uniform either. Some jurisdictions require every participant to consent, others only one, and a distributed team on one call can straddle both. The practical rule that survives audits is simple: announce the capture at the start, keep the announcement in the recording, and give people a way to ask for it to stop. Write that down once as policy rather than deciding it per call.

If transcripts alone are not enough and you want the work that follows the meeting handled too, this is what an AI employee actually looks like.

When a recorder is enough

If all you need is a searchable transcript archive, a recorder may be enough. If you need follow-up emails, action items, CRM notes, recurring-meeting memory, and a briefing before the next call, you need an assistant. The difference is whether the work continues after the recording exists.

The use case view above shows what the assistant does outside the call: summary, action items, follow-up email drafts, CRM notes. The guide on joining live meetings covers the other half: what actually happens during the call itself when a Sistava employee joins Zoom, Google Meet, or Microsoft Teams as a participant. It is the more technical of the two reads and answers the questions teams usually have once they get past the marketing pages: how the bot identifies itself, what permissions it needs, what happens if the host kicks it, and how the recording and transcript stay tied to the right meeting after the call ends.

Sources

• Otter.ai pricing
• Fireflies.ai pricing
• Fathom pricing
• Granola pricing
• Zoom AI Companion announcement

The fastest way to decide between a recorder and an assistant is to run one real week with both. Keep your current recorder on for the meetings you already capture, and let a Sistava employee join the same calls in parallel. At the end of the week, compare not what was transcribed but what was done. The recorder will have given you searchable archives. The assistant will have given you sent emails, updated CRM entries, scheduled follow-ups, and an inbox that is one step closer to clean. That gap is the entire point, and it shows up faster than most teams expect.