26 Best AI Meeting Assistants and AI Note Takers for 2026: The Ultimate Comparison Guide

Most teams already record their meetings. The problem is what happens next. Decisions sit in one person's notes, action items live in a transcript nobody reopens, and the context behind a deal or a hire disappears the moment the call ends.

This guide reviews 26 AI meeting assistants, from the assistants built into Zoom, Microsoft 365, Google Workspace, Notion, and Webex to standalone tools like Fellow, Fireflies, Otter, and Fathom. Entries were checked against vendor pricing pages, help centers, and documentation in September 2026, and third-party pricing guides are named where a vendor doesn't publish prices. You'll find a comparison table with verifiable evidence in every cell, a section on governance for regulated teams, and answers to the questions buyers ask most.

What is an AI meeting assistant?

An AI meeting assistant is software that records, transcribes, and summarizes your meetings, then extracts decisions and action items so you don't have to take notes by hand. The best ones go further: they make every past meeting searchable, push follow-ups into the tools where work happens, and let AI assistants like Claude or ChatGPT use meeting context directly.

Three terms get used interchangeably, so here is how this guide uses them:

• AI note taker: captures the conversation and produces a transcript and summary.

• AI meeting assistant: adds search across meetings, action item tracking, templates, and integrations.

• AI meeting agent: acts on meeting content, for example drafting follow-ups, updating a CRM, or writing the next meeting's agenda.

What are the best AI meeting assistants in 2026?

The 26 best AI meeting assistants in 2026 are Zoom AI Companion, Microsoft Copilot, and Google Gemini for suite-native notes; Fellow for teams of any size that want one governed meeting record; Fireflies for specific CRM workflows; Otter for real-time transcription; Fathom for a free plan; Granola for solo bot-free notes; Notion and Webex for teams already on those platforms; and 16 specialized tools for sales, research, multilingual, and privacy-first local use.

Entries are labeled by type. "Platform" assistants are built into a suite you may already pay for. "Standalone" assistants work across platforms.

1. Zoom AI Companion: Best for teams standardized on Zoom

Type: Platform

Zoom AI Companion summarizes Zoom meetings, answers in-meeting questions like "What are the action items?", and drafts follow-ups. Summaries support 36 languages with automatic language detection. Since February 2026, its My Notes feature takes notes in Microsoft Teams, Google Meet, and in-person conversations without a bot, and a May 2026 update added My Notes on mobile, agentic search across Salesforce, Workday, and ServiceNow records, and an expanded MCP server for third-party AI tools.

Best for: Organizations that run most meetings on Zoom and want AI summaries with no extra vendor.

Limitation: My Notes output is private by default and lives in Zoom Hub, so coverage of non-Zoom meetings depends on each person running My Notes rather than a shared, organization-wide library.

Pricing: Included with paid Zoom Workplace plans (limited on Zoom Basic). A standalone My Notes option runs $10 per user per month.

2. Microsoft Copilot: Best for organizations standardized on Microsoft 365

Type: Platform

Copilot in Teams summarizes meetings, lists action items and unresolved questions, and answers questions during or after a call. The Facilitator agent takes real-time, co-authored notes in Teams meetings, and Copilot grounds answers in Outlook, SharePoint, and your files. Since April 2026, Teams auto-detects spoken language in multilingual meetings across 10 languages for users licensed for Copilot or Teams Premium.

Best for: Microsoft 365 organizations that meet almost entirely in Teams and already license Copilot.

Limitation: Copilot works on Teams meetings with a transcript, and Microsoft's own FAQ says answers may be limited in meetings longer than about two hours. It does not capture Zoom or Google Meet calls.

Pricing: Microsoft 365 Copilot is a $30 per user per month add-on (annual) on top of a qualifying Microsoft 365 plan. Copilot Business, for organizations under 300 users, lists at $21 per user per month, and Microsoft has run promotional pricing below that.

3. Google Gemini: Best for Google Workspace teams that want notes in Docs

Type: Platform

Gemini's "Take notes for me" transcribes Google Meet calls, writes a summary with action items into a Google Doc, saves it to Drive, and emails a recap. In August 2026, Google extended it to in-person meetings started from the Meet home screen on web and mobile, and Google says the same workflow can run while a meeting is hosted on Zoom or Teams. Admins can require explicit participant consent before note-taking begins.

Best for: Workspace-native teams that want notes to land automatically in Docs and Drive.

Limitation: Note-taking supports eight languages, one at a time, and Google's documentation says meetings with multiple spoken languages aren't supported. Notes land as Docs in the session starter's Drive, with no native task or CRM sync.

Pricing: Included with Workspace Business Standard, Business Plus, Enterprise Standard, and Enterprise Plus. Individuals need a Google AI Pro or Ultra subscription.

4. Fellow: Best for teams of any size that want meeting notes they can search, share, and act on

Type: Standalone

Wirecutter named Fellow its top pick for transcribing and summarizing meetings after independent testing. Fellow is an AI meeting assistant that turns every meeting into shared, searchable intelligence, whether you're a small team or an entire company on Enterprise. Teams at Shopify, HubSpot, Vidyard, and Motive use it (read their customer stories), and the same platform carries the security and governance controls that private equity, hedge fund, investment banking, and legal teams require.

Fellow's AI connectors also write, not just read. Through its MCP server and native connectors for Claude and ChatGPT, an assistant can search meetings; pull summaries, transcripts, action items, and channels; and write and edit meeting agendas and agenda templates. Fellow for Copilot brings the same meeting history into Copilot Cowork.

Certifications and compliance:

• SOC 2 Type II certified, with AES-256 encryption

• HIPAA compliant, with a BAA available on Enterprise

• GDPR compliant

• Never trains AI models on your notes, transcripts, audio, or summaries, on any plan

• Global Relay archiving integrations for financial services recordkeeping

Key features:

• Custom AI note templates by meeting type: set structures for 1:1s, client onboarding, investment committee reviews, and board briefings, with org-wide templates on Business and up

• Ask Fellow: search your meeting history in plain language, trace commitments across calls, and draft follow-ups grounded in what was said

• Permission-controlled meeting library: every recording in one searchable place, with custom recording channels and role-based access

• Password-protected recaps: share a summary outside your company without exposing the full recording

• Bot and botless recording: a visible bot or local capture from the desktop or mobile app, across Zoom, Teams, Google Meet, Slack huddles, and in-person meetings, with admin-enabled consent capture so participants know they're being recorded

• 50+ native integrations: Salesforce, HubSpot, Jira, Asana, Linear, Slack, and Glean, plus roughly 8,000 more through Zapier

• Compliance review workflows: a compliance portal where compliance teams search, flag, and audit recorded meetings, with AI trackers for MNPI and PII and a logged record of every review action

Pricing: Free plan with 5 AI notes and 5 AI recordings per user (lifetime). Team is $7 per user per month billed annually ($11 monthly), Business is $15 per user per month billed annually ($23 monthly), and Enterprise starts at $25 per user per month billed annually with a 10-user minimum. Check fellow.ai/pricing for current plans.

Limitations:

• The free plan is capped at 5 AI notes and 5 AI recordings per user in total, not per month.

• Botless recording requires the Mac or Windows desktop app or the mobile app.

• Salesforce and HubSpot integrations require the Business plan or above.

• Transcript redaction, meeting recording auto-deletion, and SSO are Enterprise features.

Best for: Any team, from a startup to an organization-wide rollout, that wants one meeting record the whole company can search, share, and govern. Unlike Fathom (best free option) or Granola (best for individuals, not team collaboration), Fellow is built for structured follow-through, with the security posture security-conscious teams and regulated industries need already in place.

5. Fireflies: Best for specific CRM workflows

Type: Standalone

Fireflies built its reputation on a deep integration library and AskFred, an AI assistant for querying transcripts conversationally. It transcribes 100+ languages, adds a multi-language mode on Business, and added a Mac and Windows desktop app plus native Google Meet capture in early 2026 alongside its bot. Its MCP tools include read access and meeting-level actions such as moving transcripts, updating titles and privacy, and creating soundbites.

Best for: Teams running a high volume of calls that want notes flowing into Slack, CRMs, and project tools.

Limitation: The bot is still the default capture mode, AI features beyond summaries draw on a pool of AI credits, and the free plan stores 400 minutes per team.

Pricing: Free plan available. Pro is $10 per seat per month billed annually ($18 monthly), Business is $19, and Enterprise is $39 per seat per month billed annually.

6. Otter: Best for real-time transcription

Type: Standalone

Otter pioneered live transcription that participants can follow and annotate during a call, and OtterPilot handles automated joins and fast summaries. Otter offers a native device-level recording option alongside its bot, and its ChatGPT plugin lets you search meetings by attendee, date, folder, or channel and pull speaker-attributed transcripts.

Best for: Workshops, trainings, and planning sessions where a live transcript adds value.

Limitation: Otter transcribes six languages (English, Spanish, French, German, Japanese, and Simplified Chinese), and the free plan caps conversations at 30 minutes and 300 minutes per month.

Pricing: Free Basic plan. Pro is $8.33 per month billed annually ($16.99 monthly), and Business is $19.99 per user per month billed annually.

7. Fathom: Best free option for individuals

Type: Standalone

Fathom's free plan covers unlimited recording, transcription, and storage, with Claude and ChatGPT integrations on every plan and an official MCP server. It added botless capture for Google Meet in April 2026.

Best for: Individuals and small teams testing an AI note taker without a budget.

Limitation: Advanced AI summaries are limited to the first 5 calls per month on the free plan, and botless capture covers Google Meet only, so Zoom and Teams still use a visible bot.

Pricing: Premium is $16 per month billed annually, Team is $15 per user per month billed annually, and Business, which adds Salesforce and HubSpot field sync, is $25 per user per month billed annually.

8. Granola: Best lightweight bot-free option for solo users

Type: Standalone

Granola is a notepad that captures your computer's audio on Mac or Windows, then enhances the notes you type with the transcript. It deletes the audio after transcription and keeps the transcript, and users can set their own transcript auto-deletion period. The Business plan adds integrations including HubSpot, Attio, and Affinity, the last two being CRMs that many venture capital firms use for deal flow.

Best for: Individuals who want a personal notepad with no bot.

Limitation: The free Basic plan shows only the last 30 days of notes in the app, there is no video recording, and billing is monthly only.

Pricing: Business is $14 per user per month. Enterprise starts at $35 per user per month.

9. Notion AI Meeting Notes: Best for teams whose docs and tasks already live in Notion

Type: Platform

Notion AI Meeting Notes captures system audio from Zoom, Google Meet, and Teams without a bot, then drops a transcript, summary, and action items onto a Notion page that's searchable with Notion AI. Notion includes one-click consent collection before a meeting starts.

Best for: Teams that plan projects and write docs in Notion and want meeting notes in the same workspace.

Limitation: Capture starts from a Notion page or calendar prompt in the desktop or mobile app rather than joining meetings automatically, and the feature requires the Business or Enterprise plan.

Pricing: Business is $20 per user per month billed annually.

10. Webex AI Assistant: Best for organizations standardized on Webex

Type: Platform

Webex AI Assistant generates in-meeting and post-meeting summaries with action items, helps late joiners catch up, and runs on Cisco Board, Desk, and Room devices. In-meeting summaries respond in 29 languages, and post-meeting summaries can be translated into 120+ languages. The Webex Meetings MCP server, which admins enable in Control Hub, lets tools like Claude, ChatGPT, and Copilot Studio retrieve summaries and transcripts.

Best for: Enterprises that run meetings and conference rooms on Webex.

Limitation: Summaries are off by default and must be turned on per meeting, spoken-language transcription covers about 15 languages without a translation license, and the assistant works on Webex meetings only.

Pricing: Included with paid Webex plans. Check Webex's pricing page for current tiers.

11. Avoma: Best for revenue teams that want scheduling, notes, and CRM sync in one tool

Type: Standalone

Avoma records and summarizes Zoom, Google Meet, and Teams calls, then layers on scheduling, AI email follow-ups, dialer integration, and automatic CRM note logging. Its MCP server includes write operations, so AI agents can classify meetings and log outcomes.

Best for: Sales and customer success teams that want one tool from booking the meeting to updating the CRM.

Limitation: There is no free recording plan (only free viewer seats and a 14-day trial), and advanced coaching and revenue features are sold as separate per-seat modules.

Pricing: Startup is $19 per seat per month billed annually ($29 monthly).

12. tl;dv: Best for free unlimited transcription

Type: Standalone

tl;dv's free plan includes unlimited recordings and transcription in 30+ languages, and it now supports bot-free capture through a desktop app. Paid plans unlock unlimited AI notes, CRM sync, an MCP server, an API, and webhooks.

Best for: Product and research teams that record many calls and want shareable clips.

Limitation: The free plan includes AI notes for only 10 meetings (lifetime) and keeps data for up to three months. In August 2026, Dark Reading reported a researcher's disclosure that a database misconfiguration exposed metadata for 181,874 tl;dv meeting records, including live conference IDs; the researcher said recordings and transcripts were not accessible.

Pricing: Pro is $18 per seat per month billed annually.

13. Read AI: Best for cross-channel intelligence across meetings, email, and chat

Type: Standalone

Read AI summarizes meetings, email, and messages in one place, with a personal meeting coach and engagement analytics. Its MCP server lets Claude browse meetings, pull transcripts, deploy a Read AI meeting agent to a Zoom, Teams, or Meet call, and share meeting reports.

Best for: Managers who want meeting, inbox, and chat summaries in one feed.

Limitation: The free plan covers 5 meetings per month with a one-hour cap, and audio and video playback start on the Enterprise tier.

Pricing: Pro is $15 per user per month billed annually ($19.75 monthly).

14. Gong: Best for large sales organizations treating calls as revenue data

Type: Standalone

Gong is a revenue intelligence platform more than a note taker. It analyzes deal health, forecasts pipeline, and coaches reps using conversation data across a sales org.

Best for: Sales organizations with dozens or hundreds of sellers and a RevOps function to run it.

Limitation: Pricing isn't published, contracts include a platform fee on top of per-seat licenses, and the product is built for sales, not company-wide meetings.

Pricing: Not published. Third-party pricing guides report roughly $1,300 to $1,600 per user per year plus a platform fee starting around $5,000 per year.

15. Krisp: Best for noise cancellation

Type: Standalone

Krisp started as AI noise cancellation and now adds bot-free meeting notes, accent conversion, AI chat, and an MCP integration, with an optional bot for Zoom, Meet, and Teams.

Best for: Remote workers in noisy environments who want clean audio first and notes second.

Limitation: Krisp's pricing page leads with a 7-day trial rather than a documented permanent free plan, and Salesforce requires the Advanced plan.

Pricing: Core is $8 per user per month billed annually ($16 monthly). Advanced is $15 billed annually.

16. MeetGeek: Best for choosing among four capture modes

Type: Standalone

MeetGeek records through a bot agent, a desktop app, a browser extension, or a mobile app. It transcribes 100+ languages and includes API and MCP access even on the free Basic plan.

Best for: Teams that want to mix bot and botless capture by meeting type.

Limitation: Basic includes 3 hours of transcription per month, and Pro caps transcription at 20 hours with overage billed at $0.50 per hour.

Pricing: Pro is $9.99 per user per month billed annually ($15.99 monthly). Business is $17 billed annually.

17. Sembly: Best for professional services teams producing client deliverables

Type: Standalone

Sembly positions itself as agentic meeting intelligence that turns conversations into client-ready deliverables. Mixed-language meetings let you pick two of 40+ languages per meeting, and Sembly restructured its plans into Basic, Pro, and MAX in March 2026.

Best for: Consultants and agencies that turn calls into formal documents.

Limitation: Sembly joins as a meeting participant, generated deliverables are metered per user, and the old free Personal plan was replaced with a trial.

Pricing: Basic, Pro, and MAX tiers. Check Sembly's pricing page for current rates.

18. Spinach: Best for agile engineering teams

Type: Standalone

Spinach joins standups, sprint planning, and retros, writes summaries tailored to agile meeting types, and suggests tickets for Jira, Linear, and Asana. It supports 100 languages and offers an MCP server on Business and Enterprise.

Best for: Engineering and product teams that want meeting output to become tickets.

Limitation: Capture is bot-based, and the free Starter plan covers up to 5 meeting hours per month.

Pricing: Pro is pay-as-you-go from $2.90 per meeting hour (minimum $29 per month). Business is $19 per user per month billed annually.

19. Tactiq: Best for browser-based transcription with no app to install

Type: Standalone

Tactiq runs as a Chrome extension that transcribes Google Meet, Zoom, and Teams in the browser with no bot joining. Its Business plan adds an MCP server and Claude connector in beta.

Best for: Individuals who want transcripts with minimal setup.

Limitation: AI features run on credits (5 per month free, 10 on Pro), and capture depends on the browser extension.

Pricing: Free plan with 10 transcripts per month. Pro is $8 per user per month billed annually.

20. Grain: Best for sharing clips from customer calls

Type: Standalone

Grain is built around highlight clips and shareable moments from calls. Its free plan includes unlimited meetings up to 45 minutes, 30 days of history, desktop capture, and basic MCP access, and Grain is available as a native connector in Claude.

Best for: Product, research, and customer teams that share call moments across the company.

Limitation: Bot-free capture is limited to macOS and English-language meetings, and HubSpot and Salesforce require the Business plan.

Pricing: Starter is $15 per seat per month billed annually ($19 monthly). Business is $29 billed annually ($39 monthly).

21. Notta: Best for multilingual transcription and translation

Type: Standalone

Notta transcribes 58 languages and includes transcript translation on its Pro and Business plans. Real-time translation and bilingual transcription are sold as add-ons.

Best for: International teams that need transcripts translated after the call.

Limitation: The free plan caps recordings at 3 minutes each and 120 minutes per month, and live translation costs extra.

Pricing: Pro is $8.17 per month billed annually ($13.99 monthly).

22. Jamie: Best for teams with strict European data residency

Type: Standalone

Jamie records from your device rather than joining as a participant, so it works on any platform and in the room. It transcribes 100+ languages with automatic detection and remembers speaker voices across meetings. With Jamie, all data storage and processing happen exclusively within the European Economic Area (EEA), Switzerland, and Germany, ensuring no data leaves the jurisdiction.

Best for: Individuals who need European data residency.

Limitation: There is no video recording, and the free plan covers 10 meetings per month capped at 30 minutes each.

Pricing: Free plan available. Paid plans start with Plus (20 meetings per month, 2-hour limit); check Jamie's pricing page for your currency.

23. Laxis: Best for sales teams that also want an AI SDR

Type: Standalone

Laxis pairs a meeting assistant (keyword tracking, AI Writer templates, conversation insights) with a separately priced AI SDR product for prospecting and outreach.

Best for: Small sales teams that want meeting notes and outbound automation from one vendor.

Limitation: The free Basic plan includes 300 minutes and 30 days of history, and Premium caps transcription at 2,000 minutes per month.

Pricing: Premium is $9.99 per month billed annually. Business is $19.99 billed annually.

24. Bluedot: Best for bot-free browser capture

Type: Standalone

Bluedot records Zoom, Google Meet, Teams, and Webex through a Chrome extension or desktop app with no bot, and adds in-person recording from iOS and Android. It transcribes 100+ languages and offers MCP integration from the Basic plan.

Best for: Individuals and small teams who want bot-free capture without changing meeting platforms.

Limitation: The free plan covers 5 meetings in total with a one-hour limit, and CRM integrations start on Business.

Pricing: Basic is $14 per user per month billed annually. Business is $32 billed annually.

25. Mem: Best for individuals building a personal knowledge base

Type: Standalone

Mem is a notes app built around retrieval: semantic search over everything you save, voice capture, meeting transcription, and a hosted MCP server so Claude or ChatGPT can read your notes. Meeting briefs are in beta on Pro.

Best for: Knowledge workers who want meetings folded into a personal second brain.

Limitation: Mem is personal-first, and team plans are custom-priced through sales.

Pricing: Free plan with 25 notes per month. Pro is $12 per month.

26. Char (formerly Hyprnote): Best open-source, local-first notepad for developers

Type: Standalone

Hyprnote rebranded to Char in early 2026. It's an open-source desktop notepad that captures system audio with no bot, transcribes locally or with the speech and language models you choose, and stores notes as plain markdown files.

Best for: Developers and technical users who want to run meeting transcription on their own machine and choose their own models.

Limitation: Integrations and team features are limited compared with cloud assistants, and setup assumes comfort with local models or API keys.

Pricing: Free. Pro is $8 per month.

How do the top AI meeting assistants compare?

Platform assistants (Zoom, Copilot, Gemini)

Standalone assistants (Fellow, Fireflies, Otter, Fathom, Granola, tl;dv)

Which features matter most when comparing AI meeting assistants?

The features that matter most are the ones that decide what happens after the meeting ends: whether decisions are searchable, whether action items reach the right tool, and whether your compliance team can govern what's captured. Here is what to evaluate.

Core intelligence and capture

• Real-time transcription: live captions and transcripts during the meeting.

• AI note-taking: automatic AI meeting notes with key points, decisions, and takeaways, formatted by template for each meeting type.

• Action item extraction: action items with owners and due dates that sync to Jira, Linear, and Asana.

• AI summaries: a concise recap of what happened, what was decided, and what's next.

• Search and highlights: find moments by keyword or topic, then clip and share them.

• Cross-meeting questions: organization-wide, natural-language search, like Ask Fellow, that surfaces commitments, decisions, and context without rewatching recordings.

Enterprise governance and compliance

These controls are increasingly table stakes for regulated industries:

• Granular recording controls: define which meeting types are always captured, never captured, or captured at user discretion; set information barrier policies between business units; and auto-block recording by sensitive title keywords or external domains.

• Workspace-level compliance portal: search, review, flag, and audit every recorded meeting with workspace-level access that doesn't depend on individual sharing settings. AI trackers surface concerns like MNPI or PII early, so reviewers focus on what matters instead of everything.

• Configurable data retention: set workspace-level auto-deletion schedules that match your legal and regulatory obligations. Zero-day retention deletes source recordings and transcripts right after processing while AI summaries stay as institutional memory.

• Consent capture and disclosure logging: log recording notices and consent events with timestamps so your team can document recording disclosures.

• In-meeting pause and resume, plus post-meeting redaction: pause capture when a discussion moves to privileged matters, personnel issues, or proprietary topics; content shared during the pause is removed from the transcript and notes. Redact names, account numbers, NPI, or flagged terms before a transcript is shared or synced.

• Password-protected meeting recaps: share summaries outside the company without exposing the full recording.

• Security certifications: SOC 2 Type II, HIPAA, and GDPR compliance with AES-256 encryption, backed by privacy and security controls admins configure per workspace. For financial services, Global Relay and Smarsh integrations support regulatory archiving.

• Zero data-training policy: Fellow never trains AI models on customer notes, transcripts, audio, or summaries, on any plan, with nothing to opt out of.

Platform and integration scope

• Universal platform coverage: capture across Zoom, Google Meet, Microsoft Teams, Slack huddles, and in-person meetings, with speaker diarization for boardrooms and client visits.

• Broad ecosystem connectivity: 50+ native integrations plus an MCP Server, a Developer API, and roughly 8,000 more apps through Zapier and n8n.

• Enterprise deployment infrastructure: SSO, SCIM provisioning, role-based access control (RBAC), and Super Admin APIs for complex organizational structures.

Bot-based vs. botless recording: which should you choose?

Bot-based recording adds the AI assistant to the call as a visible participant, which works well for team meetings where everyone expects notes. Botless recording captures audio locally through a desktop app, mobile app, or browser extension, so no extra participant appears in the roster.

Botless recording is an infrastructure and data governance choice, not a way to record people without their knowledge. Participants should always know a meeting is being recorded. Fellow's admin-enabled consent capture and disclosure logging help teams document that notice, whichever capture method they use. The best setup gives you both options under one policy: a bot for routine team meetings, and botless capture for executive, client, and in-person conversations where an extra participant would be a distraction. Our guide to bot-free AI notetakers compares the options in more detail.

Why do governance capabilities matter now?

Governance matters now because every major assistant produces a reliable transcript, so the real risk sits in what happens to that transcript afterward: who can see it, how long it's kept, and what AI tools can do with it. As AI2Work put it in an August 22, 2026 analysis of a notetaker data exposure, "compliance badges are not controls."

For regulated industries like finance, healthcare, and legal, compliance can't be a bolt-on audit layer. A private equity deal team discussing an IC memo, a quality of earnings (QoE) finding, or an expert call can surface MNPI in a single sentence. Hedge funds and investment banks carry the same risk around CIMs, LOIs, and live deal execution, and US firms work under SEC and FINRA books-and-records and supervision expectations. Your compliance team and counsel define those obligations; your meeting platform's job is to give them the controls to enforce them.

That means centralized recording policies applied across the whole organization, compliance staff who can search and review meetings with workspace-level access, AI flagging for potential issues like MNPI disclosure or PII, and a logged trail of every review, edit, and redaction. Fellow applies these controls at the workspace level: your compliance team defines the rules once, and Fellow applies them consistently across every team and business unit.

How do MCP and AI agent integrations change meeting assistants?

MCP integrations let AI assistants like Claude and ChatGPT work with your meeting data directly, so a question like "What did we decide about the Q3 budget?" gets answered from actual meeting records instead of your memory. This is the next dividing line between meeting tools.

The Model Context Protocol (MCP) is an open standard introduced by Anthropic that lets AI assistants connect to external tools and pull context in real time. For meeting software, that means Claude, ChatGPT, or an internal agent can read your notes, decisions, and action items without copying, exporting, or building a custom integration. Without it, meeting content stays in a silo: someone has to retrieve it, summarize it again, and paste it wherever the work happens.

Connectors differ in what they allow. Otter's and Granola's connectors focus on search and retrieval. Fireflies and Avoma add meeting-level actions like moving transcripts or logging outcomes, and Read AI's can send a meeting agent to a call. Fellow's Claude connector and MCP server let an assistant search meetings; pull summaries, transcripts, action items, and channels; and write and edit meeting agendas and agenda templates, so the output of one meeting can shape the next. Workspace admins decide whether the MCP server is on, can revoke connections at any time, and see when each connection was last used.

Governance travels with the data only so far. Once a connector hands meeting content to an AI assistant, that assistant's own terms apply, so regulated teams should confirm with compliance which connectors are allowed and what data each can reach before rollout.

Why isn't a platform-native assistant (Zoom, Copilot, Gemini) always enough?

Platform-native assistants have closed much of the gap in 2026: Zoom's My Notes now reaches Teams and Google Meet, Gemini takes notes in person, and Copilot handles multilingual Teams meetings. What they still don't solve is fragmentation across the rest of your stack. Microsoft's own FAQ notes that Copilot answers "based on information available in the meeting transcript only."

Based on conversations with Fellow customers, a few gaps come up repeatedly.

Integration and workflow limits

Enterprises need meeting output to reach CRMs like Salesforce and HubSpot, project tools like Jira and Asana, and archiving systems like Global Relay. Native assistants concentrate on their own suite, so CRM write-back and cross-tool automation often require a separate product or custom work.

Data silos across suites

When some meetings live in Zoom Hub, others in a Teams transcript, and others in a Google Doc, nobody has a unified view of what was decided. Each assistant searches its own suite well and the others poorly, which scatters institutional knowledge across systems.

Coverage tied to licenses and people

Native coverage beyond a vendor's own meetings is improving, but it's typically tied to each user's license and to each person choosing to run it. External stakeholders who use a different platform, and in-person meetings that nobody remembered to capture, leave gaps in the record.

Sharing and access

Teams evaluating native assistants often find notes are hard to find and share once the meeting ends. Notes that are private by default or saved to one person's drive don't become a shared, permission-controlled library without extra work.

How do you choose the right AI meeting assistant?

Choose by starting with where your meetings happen and what your compliance team requires, then test finalists on real meetings. Each step below replaces a manual habit with an AI-powered one.

1. Map where your meetings happen. List your platforms (Zoom, Teams, Google Meet, Slack huddles) and how often you meet in person, then decide whether you need bot, botless, or both.

2. Set governance non-negotiables with compliance. Agree on retention periods, redaction, consent disclosure, and archiving destinations before you look at features.

3. Decide what AI assistants should do with meeting data. If Claude or ChatGPT only needs to answer questions, a read-only connector works. If you want it to prepare the next meeting's agenda, confirm write access and admin controls.

4. Name your destinations. Write down the CRM, project tool, and chat tool each team uses, and check each vendor's integration list by name and plan tier.

5. Test with real meetings across departments. Run the same client call, team sync, and 1:1 through each finalist and compare the notes each template produces.

6. Price it at your real seat count. Compare annual pricing, per-meeting or credit caps, and which features sit on higher tiers.

Which AI meeting assistant fits your team?

The right assistant depends on the meetings your team runs most. Here is how the options line up by team and industry.

• Startups and small teams: Fellow's Team plan starts at $7 per user per month billed annually with Ask Fellow and project management integrations. Fathom and tl;dv have the most generous free plans for individuals.

• Sales and customer success: Fellow's Business plan adds Salesforce and HubSpot integrations and sales recap templates. Gong and Avoma go deeper on revenue analytics, and Fathom's Business plan adds CRM field sync.

• Engineering and product: Fellow syncs action items to Jira, Linear, and Asana. Spinach is built for agile ceremonies, and Grain suits teams sharing clips from user interviews.

• Venture capital: VC teams juggle founder pitches, partner meetings, and portfolio check-ins. Fellow keeps those in one searchable library with templates by meeting type, and Granola's Attio and Affinity integrations fit individual investors. Our guide to AI note takers for venture capital compares the options.

• Private equity, hedge funds, and investment banking: Fellow's compliance portal, zero-day retention, redaction, and Global Relay and Smarsh archiving support the supervision and recordkeeping workflows deal teams answer to, from expert calls to IC reviews.

• Legal: pause and resume keeps privileged discussions off the record, and redaction and permission-controlled channels limit who sees sensitive matters.

• Healthcare and healthtech: Fellow is HIPAA compliant with a BAA available on Enterprise, which healthtech teams need before recording conversations that may include PHI.

• Executives: botless capture, pre-meeting briefs, and password-protected recaps fit leaders who move between board meetings, client calls, and in-person conversations.

What do AI meeting assistants cost in 2026?

Most standalone AI meeting assistants cost between $7 and $19 per user per month on entry-level annual plans, while suite assistants are either included with your plan or sold as an add-on. Pricing in 2026 falls into four models:

1. Included in a suite: Zoom AI Companion (paid Zoom Workplace plans), Google Gemini (Workspace Business Standard and up), and Webex AI Assistant (paid Webex plans).

2. Suite add-on: Microsoft 365 Copilot at $30 per user per month for Enterprise, or $21 list for Copilot Business.

3. Per user per month: most standalone tools, from Fellow ($7), Tactiq ($8), Krisp ($8), and Otter ($8.33) to Fireflies ($10), Granola ($14), Read AI ($15), Fathom ($16), tl;dv ($18), and Avoma ($19), at annual entry prices.

4. Usage or platform fees: Spinach charges from $2.90 per meeting hour on Pro, and Gong adds a platform fee to per-seat licenses.

Free plans vary widely. Fathom, tl;dv, and Fireflies offer unlimited recording or transcription with limits on AI features or storage, while Fellow and Bluedot cap free usage at 5 meetings in total.

How do the leading AI meeting assistants rank for enterprise buyers?

For enterprise buyers, the leading AI meeting assistants rank as follows: Fellow first, then Microsoft Copilot, Zoom AI Companion, Google Gemini, Fireflies, Otter, and Gong. The ranking weighs cross-platform capture, workspace-level recording and retention policy, identity and provisioning, named CRM and archiving destinations, governed AI agent access, and cost at scale.

1. Fellow: the only assistant here that combines bot and botless capture on every major platform, a compliance portal, workspace-level retention and redaction, SSO and SCIM, Global Relay archiving, and read-and-write AI connectors, password-protected recaps, Claude/ChatGPT/Copilot native connectors, with SOC 2 Type II and HIPAA compliance.

2. Microsoft Copilot: the natural choice for organizations whose meetings happen almost entirely in Teams and that already license Copilot.

3. Zoom AI Companion: strongest for Zoom-standardized companies, now with bot-free My Notes for Teams and Google Meet.

4. Google Gemini: the default for Workspace-native companies that want notes in Docs.

5. Fireflies: best for teams that prioritize CRM integration breadth.

6. Otter: best for real-time transcription in live sessions.

7. Gong: best for large sales organizations that treat conversation data as revenue intelligence.

Frequently asked questions

What is the best AI meeting assistant in 2026?

The best AI meeting assistant in 2026 for most teams is Fellow, which pairs custom note templates, Ask Fellow search across meeting history, bot and botless capture, and native Claude, ChatGPT, and Copilot integrations with SOC 2 Type II and HIPAA compliance. Zoom AI Companion, Microsoft Copilot, and Google Gemini suit single-suite teams, Otter leads on live transcription, and Fathom has the most generous free plan.

What is the best AI meeting agent, and how does it differ from a note taker?

An AI note taker records and summarizes a meeting, while an AI meeting agent acts on it by drafting follow-ups, updating records, or preparing the next meeting. Fellow is the strongest AI meeting agent for most teams: Ask Fellow drafts follow-ups grounded in what was said, and Fellow's Claude and ChatGPT connectors write agendas and templates. Read AI's MCP server can send a meeting agent to calls, and Avoma's can log outcomes.

Which AI assistant writes the best meeting notes?

Wirecutter named Fellow its top pick for transcribing and summarizing meetings, and custom AI note templates let you set a different structure for 1:1s, client calls, and board briefings. Granola is strong for personal notes that build on what you type, and Sembly suits consultants who turn calls into formal client deliverables.

What are the best alternatives to Zoom AI Companion?

The best alternatives to Zoom AI Companion are Fellow, for one searchable meeting library across Zoom, Teams, Google Meet, Slack huddles, and in-person meetings; Otter for live transcription; Fireflies for high-volume teams; Fathom for a free plan; and Granola for bot-free personal notes. Zoom's My Notes now reaches Teams and Google Meet, but its notes are private by default and live in Zoom Hub.

Which AI meeting assistant works best for a company-wide rollout?

Fellow works best for a company-wide rollout because admins set recording, access, and retention policies once at the workspace level, and Enterprise adds SSO, SCIM provisioning, and role-based access for large organizations. Org-wide templates standardize notes across teams, and admins control which AI tools connect through the MCP server. Microsoft Copilot fits only if nearly every meeting happens in Teams.

Choosing the best AI meeting assistant for your team

The best AI meeting assistant is the one that captures every conversation your team has, makes it searchable across the company, and gives your compliance team control over what's kept and shared. Suite assistants and specialized tools each solve part of that, and Fellow brings it together for teams of any size, from a first workspace to an organization-wide rollout. You can try Fellow free and see what your meetings look like as shared intelligence.