Zoom's built-in AI that summarizes meetings, drafts follow-ups, and answers questions about what you missed.
Last updated
Zoom AI Companion is Zoom's own meeting assistant, and the most consequential thing about it is not on the feature list. For an organization already running on Zoom, there is almost nothing to decide. No new vendor to review, no data processing agreement to negotiate, no third-party bot appearing in the participant list, no second tool for people to learn. It is a setting an administrator turns on. That single fact reframes every comparison against a dedicated product like Otter.ai, because the specialist is not being judged against a blank slate. It is being judged against something already switched on and already paid for.
The capabilities are what you would expect from a platform assistant rather than a specialist: a post-meeting summary with highlights and next steps, a Catch Me Up recap for someone arriving late, the ability to ask what has been covered while the meeting is still running, thread summaries and message drafting in Zoom Team Chat, and content and mind-map generation in Zoom Docs and Whiteboard. None of these individually beats a tool built solely for that job. They win on a different axis, which is that the cost of trying them is an admin toggle rather than a procurement cycle.
Commercial packaging works the same way, and it is worth being careful here because this is where write-ups go stale fastest. AI Companion has been positioned as included with eligible paid Zoom accounts rather than sold as a separate per-seat AI subscription, and Zoom has also introduced paid add-on tiers covering more advanced capability. Which features sit on which side of that line moves release to release, so confirm your own plan's entitlements in Zoom's current documentation instead of trusting any third-party summary, this one included. The structural point survives the details: the baseline assistant is a plan feature, not a separate purchase, which is a different model from paying per seat for an assistant layered onto a chat tool such as Slack AI.
Most comparisons ask which one writes better summaries. That is close to the least decision-relevant question available, because differences in summary quality are small next to a coverage difference that is absolute. Ask where your meetings happen instead. If they all happen in Zoom, a native assistant covers all of them and a third-party tool is a second bill for the same output. If a meaningful share happen on Microsoft Teams or Google Meet, AI Companion cannot see those at all, and you end up with two or three archives in different formats and no single place to search, which is precisely the problem Otter.ai exists to solve by joining through your calendar regardless of platform.
A second axis is worth adding: what you need out of the meeting afterward. A recap you read once and discard is exactly what a native assistant is built to produce. A transcript you need to keep, quote, search months later, or hand to someone else, as with interviews, user research, or anything evidentiary, favors a transcription-first product where the transcript is the deliverable rather than a byproduct of generating the summary.
Native does not mean harmless, and there are meetings where the correct configuration is off. Sensitive conversations, including HR matters, investigations, terminations, and clinical or legal discussions, produce a generated record that is as discoverable as any other record, and the person being discussed did not agree to it. Summaries also travel further than the meeting did, so decide who may forward one before you find out. Anything treated as minutes deserves particular suspicion: a recap that misattributes a decision or quietly drops the dissent is worse than no notes, and the discipline that keeps the feature useful is treating it as recall rather than as record. Data handling is a review question worth doing once rather than assuming, and Zoom's public position has been that customer content is not used to train its AI models, which your compliance team should take from Zoom's current terms rather than from a summary of them. Finally, if the underlying problem is that you have too many meetings, an assistant makes bad meetings cheaper to hold rather than rarer, which is the one outcome nobody is actually trying to buy.
Teams whose calls all happen in one place get post-meeting summaries and next steps without adding a vendor, a bot, or a subscription. The reason this is the dominant use case is not quality. It is that the alternative requires someone to run a procurement and a security review for a marginal improvement.
Someone joining twenty minutes late, or reviewing afterward, gets a recap instead of scrubbing a recording. Asking what has been covered while the meeting is still running is the more useful version of this, because it lets a late arrival rejoin the conversation rather than reconstruct it later.
Once a reliable recap exists, attendance becomes optional for meetings where someone is present only to stay informed. Used this way the assistant is a scheduling lever rather than a note-taking feature, and it is the highest-value outcome available here.
Some hosts, clients, and security teams object to a third-party bot joining, independent of whether recording itself is permitted. A native feature avoids introducing a new processor into the call, which is a lower bar to clear than approving another vendor, though it is not a substitute for checking your own recording and consent rules.
Outside meetings, thread summaries and compose suggestions in Zoom Team Chat extend the assistant to written conversation. This matters mainly to organizations that use Zoom as their chat tool rather than running chat elsewhere, where the equivalent feature belongs to that vendor instead.
Generating a first outline in Zoom Docs or organizing a brainstorm into a mind map in Whiteboard keeps ideation and assistance in the same window as the discussion, which is the practical advantage of an assistant that spans a suite rather than one that stops at the call.
Left alone, employees install personal AI notetakers and join them to company calls, which is the actual data exposure most organizations have. Enabling a native assistant under existing account controls gives IT one place to set policy and one behavior to communicate, and removes the motivation for the unmanaged version.
Zoom AI Companion is packaged as a feature of eligible paid Zoom plans rather than as a standalone AI product, and Zoom has also introduced paid add-on tiers that extend it beyond the included baseline. The practical consequence is that the budget question is not how many AI seats to buy but which plan your accounts are on and which capabilities that plan currently entitles them to, and the answer moves as Zoom repackages. Confirm entitlements against Zoom's own current plan documentation before assuming a given feature is included, and treat the included baseline as the thing to compare against a dedicated tool's per-seat cost.
The baseline assistant has been packaged as part of eligible paid Zoom plans rather than sold as a separate per-seat subscription, and Zoom has also introduced paid add-on tiers for more advanced capability. Because that boundary moves, verify what your specific plan includes in Zoom's current documentation rather than relying on a secondhand description.
No. It only sees meetings, chat, docs, and whiteboards inside Zoom. That is the entire reason cross-platform tools exist, and if a meaningful share of your calls happen elsewhere, a native assistant leaves you with partial coverage and a split archive.
Decide on coverage first, not quality. All meetings in Zoom means the native assistant is already there and a second tool is a second bill. A mixed calendar means only a platform-agnostic tool gives you one archive. The tiebreaker after that is what you need afterward: a disposable recap favors the native option, while a transcript you must keep, quote, and search later favors a transcription-first product.
No, and it is worth saying so explicitly when you roll it out. Generated recaps can flatten a reversal made late in the call, drop an objection raised once, or attribute a decision to the wrong person. Use them for recall and spot-check anything consequential, because a plausible wrong record is more damaging than no record at all.
Full review coming soon.