Best AI Meeting Assistants for Conference Rooms in 2026

Most reviews of AI meeting assistants are written for a person joining a call from their laptop. That is a different problem than the one facing IT and facilities teams: how do you get reliable notes, action items, and transcripts out of an equipped conference room where five people are on a table mic, two are dialed in remotely, and the room itself is standardized on a specific video platform? This guide compares the five tools worth considering for that specific job in 2026: Microsoft Teams Facilitator, Zoom AI Companion, Google Gemini in Meet, Otter.ai, and Fireflies.ai.

Quick verdict

If your conference rooms are standardized on Microsoft Teams Rooms hardware, Teams Facilitator is the obvious default: it is built into the room system itself and needs no extra app. If your rooms run Zoom Rooms, Zoom AI Companion does the same job inside the Zoom ecosystem. If your organization is fully on Google Workspace, Gemini in Meet fits the same pattern. But if your conference rooms host a mix of Zoom, Teams, and Meet calls, or you have hybrid rooms with guests dialing in from whatever platform they use, a cross-platform tool like Otter.ai or Fireflies.ai will save you from running three separate note-taking systems.

Who this is for

• IT managers deciding which AI meeting assistant to standardize on for conference room deployments
• Facilities and workplace teams evaluating whether to enable an assistant room-wide or leave it to individual users
• Organizations with mixed meeting platforms trying to avoid buying three separate transcription tools
• Anyone weighing platform-native AI features against a dedicated cross-platform transcription service
• Teams that need to think through recording consent before turning on an always-listening room assistant

Why conference rooms are a different problem than 1:1 calls

An AI assistant on a personal laptop call has one clear audio source: the person’s headset or laptop mic, and one clear consent boundary: the person who started the recording. A conference room breaks both assumptions. The audio source is a room microphone or microphone array picking up multiple voices at varying distances, some of which may be talking over each other. The consent boundary is murkier too, since not everyone physically in the room chose to join that specific call, and guests or vendors sitting in on a meeting may not expect to be transcribed at all.

This matters when you pick a tool. A meeting assistant that works well on a 1:1 Zoom call from a quiet office is not automatically good at picking three names out of a table full of six people and attributing the right sentence to the right speaker. Room-specific accuracy, not just feature lists, should drive the decision.

Platform-native assistants: built into the room hardware

The three platform-native options each work only within their own ecosystem, but that narrowness comes with a real benefit: deeper integration with the room hardware and admin controls you already manage.

Microsoft Teams Facilitator

Teams Facilitator is native to Microsoft Teams Rooms. It is persistent and voice-activated, meaning it can be invoked with a wake phrase rather than requiring someone to open a separate app on the room console. It works before, during, and after a meeting, and it can pull in web knowledge to answer questions raised in the room. A feature rolling out between August and October 2026 extends AI notes to in-person and ad hoc meetings on Teams Rooms running Windows, which is relevant if your rooms are used for internal huddles that never formally “start” a scheduled Teams meeting. Facilitator requires Teams Pro or Copilot licensing assigned to the room resource account, not just to individual attendees, so budget for that as a room-level cost rather than a per-user one. Best fit: organizations already standardized on Microsoft Teams Rooms hardware, where the assistant is effectively a firmware-level feature rather than an add-on app.

Zoom AI Companion

Zoom AI Companion is included with paid Zoom Workplace plans and extends across Zoom Meetings, Zoom Phone, Zoom Chat, and Zoom Docs, so a room running Zoom Rooms benefits from the same assistant that covers phone calls and chat threads elsewhere in the organization. Reported pricing for Zoom Workplace overall starts from around $14/user/month, with a standalone AI Companion add-on reported around $8/user/month and a “Custom AI Companion” add-on reported around $12/user/month; treat all three figures as directional and [VERIFY: current Zoom AI Companion and Zoom Workplace pricing tiers for 2026] against zoom.com/pricing before budgeting. AI Companion is Zoom-ecosystem-native, meaning it works with Zoom calls but does not natively transcribe or analyze meetings happening on Teams or Meet. Best fit: organizations where conference rooms and the broader phone/chat stack are already built on Zoom.

Google Gemini in Google Meet

Gemini in Meet is tightly tied to the Google Workspace ecosystem and, like the other native tools, does not natively support cross-platform recording or analysis of Zoom or Teams meetings. For an organization fully on Google Workspace with Meet-equipped rooms, this is the path of least resistance since licensing, identity, and admin controls all sit in the same console you already use for Workspace. Best fit: organizations fully on Google Workspace, particularly where room hardware is already Meet-certified.

Cross-platform assistants: one tool across every room

The two cross-platform options solve a different problem: rooms and calendars that are not uniform. A single conference room might host a Teams call on Monday, a Zoom call with a client on Tuesday, and a Meet call with a partner agency on Wednesday. Running three native assistants in parallel to cover that room is impractical, which is where a dedicated transcription layer earns its keep.

Otter.ai

Otter.ai supports Zoom, Google Meet, Microsoft Teams, and in-person conversations captured through its mobile app, making it the most flexible option for a room that genuinely mixes platforms. It offers a free Basic tier with 300 transcription minutes per month, useful for testing before a wider rollout. Paid tiers are reported at around $8 to $9 per user per month (billed annually) for Pro with roughly 1,200 minutes per month, and around $20 per user per month for Business with roughly 6,000 minutes per month and unlimited file imports; an Enterprise tier with custom pricing adds SSO, SCIM, admin controls, and audit logging for larger deployments. [VERIFY: exact current Otter.ai tier pricing and minute allowances for 2026] at otter.ai/pricing before committing budget. Reported live transcription accuracy sits near 95%, which is competitive for a room mic picking up multiple speakers. Best fit: an IT team that wants one assistant and one admin console covering every room regardless of which video platform is running that day.

Fireflies.ai

Fireflies.ai covers an even broader set of platforms, including Zoom, Google Meet, Microsoft Teams, Webex, Dialpad, GoToMeeting, and others, which matters if your conference rooms are also used for vendor calls on platforms outside the big three. Exact current pricing tiers should be checked directly at fireflies.ai/pricing rather than assumed, since [VERIFY: current Fireflies.ai tier pricing for 2026] changes periodically. Functionally, Fireflies.ai plays a similar role to Otter.ai: automatic joining of scheduled meetings, transcription, searchable notes, and integrations with common collaboration and CRM tools. Best fit: organizations with the widest platform sprawl, including legacy tools like Webex or GoToMeeting still in use for specific teams or vendors.

Comparison table

Privacy and consent considerations for recording in-person meetings

Turning on an AI assistant in a conference room is not the same decision as turning one on for a personal 1:1 call, and it deserves a specific policy rather than an assumption that existing meeting-recording consent covers it. A few things worth working through before a room-wide rollout:

• Decide whether the assistant should be always-listening (as Teams Facilitator can be, since it is voice-activated and persistent) or only active when someone explicitly starts it, and communicate that choice clearly with signage or a verbal norm at the start of meetings.
• Check local and regional recording consent laws. Some jurisdictions require all-party consent for recorded conversations, which matters for in-person meetings captured by mobile-app tools like Otter.ai as much as for calls.
• Build a norm for guests and vendors: if a visitor is sitting in on a meeting in a room with an active assistant, someone in the room should say so out loud before the meeting starts, not bury it in a calendar invite footer.
• Confirm where transcripts and recordings are stored and who can access them. Admin controls, audit logging, and retention settings differ meaningfully between the free/individual tiers and the business or enterprise tiers of every tool in this comparison, so do not assume a default retention window without checking.
• Treat rolling-out AI notes for informal, ad hoc meetings (as Teams Facilitator is doing for in-person Teams Rooms meetings later in 2026) as a policy decision, not just a feature toggle, since ad hoc meetings are exactly the setting where people are least likely to expect to be recorded.

Recommendation matrix based on your video platform

The simplest way to make this decision is to start from the platform your conference rooms are already standardized on, rather than starting from a feature comparison.

• Standardized on Microsoft Teams Rooms: use Teams Facilitator first. It requires no separate app, integrates with the room hardware you already deployed, and licensing sits at the room resource account level.
• Standardized on Zoom Rooms: use Zoom AI Companion. It extends the same assistant to phone and chat, which is useful if your organization is Zoom-first across the board, not just in conference rooms.
• Standardized on Google Workspace and Meet: use Gemini in Meet, since it shares admin console and identity with the rest of your Workspace deployment.
• Mixed platforms, or rooms that host calls from guests on whatever tool they use: use Otter.ai or Fireflies.ai. Choose Otter.ai if most of your traffic is Zoom, Meet, and Teams and you want the simpler platform list; choose Fireflies.ai if you regularly deal with Webex, Dialpad, GoToMeeting, or other platforms outside the big three.
• Uncertain which camp you fall into: audit a month of room calendar bookings by platform before choosing. If one platform accounts for the large majority of room usage, a native assistant is usually the better long-term fit even if a handful of meetings happen on another platform.

For a broader look at how AI is reshaping conference room technology beyond just meeting notes, see our guide to what IT teams actually need to know about AI meeting rooms. If you are also evaluating the room hardware itself, our DTEN all-in-one room system review covers how an integrated display and camera system pairs with these assistants. And if the platform decision itself is still open, our Teams Rooms vs Zoom Rooms comparison is the right starting point before you lock in a native AI assistant around either ecosystem.