ConversationPilot understands your meetings as they happen — transcribing both sides, detecting signals, scoring qualification and coaching live — across Zoom, Microsoft Teams and Google Meet.
Works on Zoom, Teams & Google Meet · Mac & Windows · 7-day free trial
Meeting intelligence usually means software that records your meetings and analyses them afterward. ConversationPilot redefines it as something live: real-time understanding of the meeting while it is still happening, across Zoom, Microsoft Teams and Google Meet, so the intelligence is something you act on during the call rather than read about after it.
The difference is more than timing. ConversationPilot transcribes both sides of the meeting as separate streams, detects objections and buying signals as they surface, keeps a live qualification scorecard, measures speaking analytics exactly, and surfaces coaching prompts in under two seconds — all in real time, all in a discreet overlay. It works the same way whether the meeting is on Zoom, Teams or Meet, because it captures audio at the system level rather than depending on any one platform's recording feature. No bot joins the meeting, and the overlay is hidden from screen sharing.
This is meeting intelligence built for the participant, not just the analyst. Where a recording platform gives the manager a great way to review meetings later, ConversationPilot gives the person in the meeting a way to run it better right now — and still produces a full post-call report when it ends. For sales and recruitment teams who live in back-to-back meetings, that real-time layer is the intelligence that actually changes outcomes.
Meeting intelligence is software that understands the content of a meeting and turns it into useful insight. The crucial question is when: most meeting-intelligence tools deliver insight after the meeting, as a recording and analysis. ConversationPilot delivers it during the meeting, in real time.
That real-time understanding is layered. At the base is live transcription of both speakers as separate streams. On top of that sits comprehension — detecting objections, buying signals, competitor mentions, budget, decision-makers and timelines as they come up. On top of that sits action — a live qualification scorecard, exact speaking analytics, and coaching prompts surfaced in under two seconds. Each layer feeds the next, and all of it happens while the meeting is live. The result is intelligence you can use to change the meeting you are in, not just intelligence about a meeting that already ended.
Meetings happen across Zoom, Microsoft Teams and Google Meet, and a tool tied to one platform leaves the rest uncovered. ConversationPilot works the same way across all of them because it operates as a desktop overlay capturing system audio, rather than as a plugin to any single meeting app.
This platform independence is a genuine advantage. You do not switch tools or workflows depending on which app a meeting happens to be on — the same live transcription, signal detection, scorecard and coaching apply whether you are on a Zoom demo, a Teams interview or a Meet discovery call. It even extends to phone and in-person meetings, because the intelligence is built on the audio, not on a platform's API. One consistent intelligence layer across every meeting means reps and recruiters get the same support no matter how the meeting is hosted, with nothing to reconfigure when the platform changes.
Traditional meeting-intelligence tools often join the meeting as a visible bot — an extra participant that announces a tool is listening and changes the feel of the conversation. ConversationPilot takes a different approach: no bot joins the meeting, and the overlay is hidden from screen sharing.
That discretion matters for real meetings. There is no third attendee in the participant list, nothing that triggers a recording banner because a bot joined, and nothing visible to the counterpart even when you share your screen. To the other side, the meeting looks completely ordinary. This is what makes live meeting intelligence usable in actual selling and recruiting rather than just in internal calls — you would never want a prospect or candidate to see your prompts or scorecard. You remain responsible for complying with applicable recording and consent laws in your jurisdiction; the discretion is about keeping the assist out of view, not about evading disclosure where it is required.
Real-time intelligence changes the meeting you are in; the post-call report turns that meeting into a lasting record. The moment the meeting ends, ConversationPilot generates a structured report automatically — an executive summary, key points, objections raised, buying or candidate signals, risks, recommended next actions, CRM notes and a follow-up email draft.
So you get both halves of meeting intelligence without choosing between them. During the meeting, the intelligence is live and actionable. After it, the intelligence is captured and organised for review, handoff and follow-up. Because the report is built from the same accurate, speaker-attributed transcript the live layer used, it reflects what was actually said. And because the deep analysis runs on a stronger model than the live prompts, the report is thorough without ever having slowed the in-meeting assist. The real-time and post-meeting layers reinforce each other rather than competing.
Most meeting-intelligence tools are built for sales, leaving recruiters — who spend just as much time in meetings — with a tool that does not understand their conversations. ConversationPilot supports both natively. The same real-time engine that understands a sales meeting understands a screening or candidate meeting, with signals and scoring built for talent rather than retrofitted from sales.
In recruitment mode, the intelligence tracks a scorecard tuned for hiring — salary, notice period, motivation, eligibility, availability and culture-fit indicators — and detects candidate signals as they surface: notice period, salary expectations, motivation, interview activity elsewhere, eligibility, relocation and counteroffer risk. Because one product covers both motions, an organisation can put real-time meeting intelligence in front of its whole revenue-and-talent team rather than buying separate tools and stitching them together. The same live, cross-platform, discreet intelligence applies whichever kind of meeting is happening.
Meeting-intelligence platforms like Gong, Chorus, Avoma and Fireflies do post-meeting analysis well — trends, searchable transcripts, pipeline visibility. They are genuinely strong at helping teams review and learn from meetings after they happen. But their model is retrospective by design: capture now, analyse later.
ConversationPilot is real-time first. The intelligence is delivered live, in the meeting, where it can change the outcome, and the post-meeting report comes as a bonus rather than the main event. For a team trying to improve meetings rather than just analyse them, that order matters. Hindsight explains why a meeting went the way it did; real-time intelligence helps it go better while it is still happening. You get both with ConversationPilot, but the headline value — the thing record-and-review platforms structurally cannot offer — is understanding the meeting in the moment, across whichever platform it is on, without a bot in the room.
| Capability | ConversationPilot AI | Recorders / note-takers |
|---|---|---|
| When intelligence arrives | Live, during the meeting | After the meeting |
| Across Zoom/Teams/Meet | One overlay, system audio | Per-platform recording |
| Live signals & scorecard | Yes, in the moment | Post-meeting only |
| Coaching prompts | Under 2 seconds | None live |
| Joins the meeting | No bot — discreet overlay | Bot may join |
| Post-meeting report | Automatic | Yes |
It's software that understands a meeting as it happens and turns it into usable insight live — transcribing both sides, detecting signals, scoring qualification and surfacing coaching prompts in under two seconds. ConversationPilot does this during the meeting, so you can act on the intelligence rather than just review it afterward.
It works the same way across Zoom, Microsoft Teams and Google Meet, plus phone and in-person meetings, because it captures system audio as a desktop overlay rather than depending on any one platform's API. One consistent intelligence layer applies no matter how the meeting is hosted.
No. ConversationPilot runs as a discreet desktop overlay with no bot joining the meeting, and the overlay is hidden from screen sharing. There's no extra participant and nothing visible to the counterpart, so the meeting looks completely ordinary to the other side.
Yes. The moment the meeting ends, ConversationPilot generates a structured report automatically — summary, key points, objections, signals, risks, next actions, CRM notes and a follow-up email draft — built from the same accurate, speaker-attributed transcript the live layer used.
Yes. The same real-time engine understands screening and candidate meetings, with a scorecard tuned for hiring and detection of candidate signals like notice period, salary expectations and counteroffer risk. One product gives real-time meeting intelligence to both sales and recruitment teams.
Those platforms do post-meeting analysis well but are retrospective by design — capture now, analyse later. ConversationPilot is real-time first: the intelligence is delivered live, in the meeting, where it can change the outcome, and the post-meeting report comes as a bonus.
Real-time prompts, objection handling and qualification — while the call is happening.