ConversationPilot listens to your candidate screens and client briefs in real time, surfaces the next best question, and tracks the signals that decide whether a placement closes — counteroffer risk, notice period, salary, motivation.
Works on Zoom, Teams & Google Meet · Mac & Windows · 7-day free trial
A recruitment agency lives and dies on the quality of its calls. Consultants run dozens a day — candidate screens, client briefs, offer negotiations, counteroffer saves — and the agencies that bill the most are the ones whose consultants ask the right questions, qualify both sides properly, and move faster than the competition. The problem is that most coaching in agencies happens after a placement falls through, when the manager finally asks why a candidate dropped out at offer stage. By then the fee is gone. An AI copilot built for recruitment closes that gap by coaching the call while it is still live.
ConversationPilot is one of the few conversation-intelligence tools built natively for recruitment, not retrofitted from sales. On a candidate call it surfaces the next best question and tracks a recruitment scorecard — salary expectations, notice period, motivation, eligibility, availability and culture-fit indicators — marking each covered, partial or open. It detects the signals that decide placements as they are spoken: notice period, salary expectations, motivation to move, interview activity elsewhere, eligibility, relocation and counteroffer risk. On a client call it helps you take a tight brief and qualify the role properly so you are not sourcing against a vague spec.
It runs as a discreet desktop overlay over Zoom, Teams and Meet, plus phone calls, with no bot joining the conversation. It pushes structured notes into a framework for Bullhorn, Vincere and JobAdder, so your ATS stays current and your placement speed goes up instead of being throttled by admin. For an agency, that is the whole game: better calls, faster, with less time lost to write-ups.
The candidate screen is the most important call a consultant makes, because everything downstream depends on how well the candidate is qualified. A screen that skips notice period, glosses over salary, or fails to probe real motivation produces a candidate who drops out at offer stage and a fee that never materialises. ConversationPilot coaches the screen live. It tracks the recruitment scorecard as the conversation unfolds and shows you, at a glance, which of salary, notice period, motivation, eligibility, availability and culture-fit you still have not properly covered.
When a candidate gives a soft answer — "I'm just exploring," "money isn't everything" — the copilot prompts the follow-up that surfaces the real driver, because vague motivation is the single best predictor of a candidate who ghosts. It listens for counteroffer risk and interview activity elsewhere and flags them the moment they appear, so you can address a competing process before it becomes the reason your candidate walks. Because the consultant's mic and the candidate's audio are captured as separate streams, attribution is exact and the talk-listen meter keeps consultants from talking over a candidate they should be drawing out.
Half of recruitment failure traces back to a bad brief. A consultant who leaves a client call without a clear sense of the must-haves, the salary band, the decision process and the realistic timeline ends up sourcing against a guess — and burning hours on candidates the client was never going to hire. ConversationPilot coaches the client side too. On a brief it prompts the questions that pin down the role: what does success look like, what is the budget, who else is interviewing, how fast do they need to move, what has gone wrong with previous hires.
It listens for the signals that tell you how serious and how winnable the role is — urgency cues, budget references, mentions of other agencies on the same role, sign-off process — and surfaces them so you can qualify the client as rigorously as you qualify the candidate. An agency that takes tight briefs sends fewer, better candidates and builds a reputation for not wasting the client's time. The copilot makes that discipline consistent across every consultant, not just the senior ones who learned it the hard way.
Placements rarely fall apart at random — they fall apart on signals a consultant heard but did not act on. ConversationPilot is tuned to catch them. Counteroffer risk is the classic one: a candidate who is valued at their current job, has a good relationship with their boss, or hesitates when you ask how they would feel about resigning. The copilot flags that risk early so you can prepare the candidate for the counteroffer instead of being blindsided by it at the finish line.
It also tracks notice period (which determines whether the candidate even fits the client's timeline), salary expectations versus the role's band (so you catch a mismatch before you waste a submission), motivation (the real reason they would move, not the polite one), eligibility and right-to-work cues, and interview activity elsewhere (a candidate three rounds deep with another firm is a candidate you may lose). Each signal is surfaced live, during the call, when you can still do something about it — not buried in a transcript you read after the candidate has already accepted somewhere else.
In an agency, speed wins. The consultant who submits first, schedules first and closes first takes the fee. ConversationPilot removes the biggest drag on speed: admin. The moment a call ends, it generates a structured write-up automatically — an executive summary, key points, the candidate's salary and notice details, motivation, risks like counteroffer exposure, recommended next actions and a draft follow-up. What used to be fifteen minutes of typing up a screen becomes a quick review and a click.
Those notes push into a framework for Bullhorn, Vincere and JobAdder, so the ATS record is rich and current instead of a one-line stub a consultant meant to fill in later. Accurate, immediate records mean a candidate can be matched and submitted while they are still warm, a colleague can pick up a role without re-interviewing, and a manager can see the real state of a desk. Because the notes come from a speaker-attributed transcript, they capture what the candidate actually said about salary and notice, not a half-remembered figure — which is exactly the detail that goes wrong and costs placements when it is logged from memory.
Every agency has a top biller whose calls are a masterclass and a bench of consultants who are inconsistent. The economics of an agency are decided in that bench, because that is where the upside is. ConversationPilot is built to lift it. Recruitment Screening playbooks encode what a strong candidate or client call looks like — the right questions, the signals to watch, what complete qualification means — and every consultant is coached toward that standard live, on every call, not just on the one their manager happened to sit in on.
Managers get a dashboard, call leaderboards and a review library across the team, so coaching stops being anecdotal. A team lead can see that one consultant consistently fails to surface counteroffer risk and another rushes the brief, and coach from real moments rather than from a placement that already fell through. New consultants ramp far faster because the playbook is on screen on their first call instead of in a binder. For an agency owner, the result is a more consistent desk, higher placement rates and less revenue lost to the calls that quietly went wrong.
The calls nearest the fee are the highest-stakes ones a consultant makes, and they are where placements are most often lost. An offer call mishandled, a salary negotiation that stalls, a counteroffer-save attempted without preparation — each can undo weeks of work. ConversationPilot coaches these moments too. When you are managing an offer, it prompts you to confirm the candidate's true expectations versus the offer on the table, and flags hesitation that signals a wobble before it becomes a withdrawal.
On a counteroffer-save call — the most pressured conversation in recruitment — the copilot helps you stay structured under fire: surfacing the questions that remind the candidate why they wanted to move in the first place, and addressing the emotional pull of staying rather than just the money. It listens for the cues that tell you whether a save is realistic or whether the candidate has already decided, so you spend your energy wisely. Because the same engine has coached countless offer and negotiation calls, even a consultant who rarely handles a counteroffer fields one with the composure of someone who does it weekly. Protecting the fees that are nearly closed is some of the highest-return coaching an agency can give, and the copilot delivers it on every call rather than only when a manager happens to be listening in.
Setup suits the pace of an agency desk: install the desktop app on Mac or Windows, sign in, choose the Recruitment Screening playbook, and start your next candidate or client call. Coaching appears in the overlay within seconds and a structured write-up syncs to your ATS when you hang up, so a consultant can adopt it between calls without disrupting their billing day. Because recruitment is a high-volume, fast-moving business, that combination of zero-friction setup and instant value is what makes a copilot something consultants actually keep switched on rather than a tool that gets abandoned after a week.
| Capability | ConversationPilot AI | ATS + call recorder |
|---|---|---|
| Coaching during candidate & client calls | Live prompts in under 2 seconds | Reviewed after, if at all |
| Recruitment-specific scorecard | Salary, notice, motivation, eligibility — live | Manual ATS fields |
| Counteroffer & competing-process risk | Flagged the moment it surfaces | Discovered when the candidate drops |
| ATS sync | Notes pushed to Bullhorn, Vincere, JobAdder | Typed in by the consultant |
| Built for recruitment | Native recruitment mode | Sales-first or generic |
| Write-up after the call | Auto-generated from the transcript | Manual |
It's built natively for both. Recruitment mode isn't a retrofitted sales tool — it surfaces recruitment-specific prompts and tracks a scorecard tuned for hiring: salary, notice period, motivation, eligibility, availability and culture-fit, while detecting signals like counteroffer risk and interview activity elsewhere.
It pushes structured notes into a framework for Bullhorn, Vincere and JobAdder, plus Greenhouse and Ashby. After each call it generates a rich write-up automatically so your ATS record is current and accurate instead of a stub the consultant meant to fill in later.
ConversationPilot listens for the cues that predict a counteroffer — a candidate who's valued where they are, hesitates about resigning, or has a strong relationship with their boss — and flags the risk early, while you can still prepare the candidate, rather than at offer stage when it's too late.
Yes. On a client call it prompts the questions that pin down a tight brief — must-haves, salary band, decision process, timeline, competing agencies — so you source against a clear spec instead of a guess and qualify the client as rigorously as the candidate.
By removing admin. The moment a call ends it drafts a full write-up — salary, notice, motivation, risks, next actions — and syncs it to your ATS, so candidates can be matched and submitted while still warm. Less time typing notes means faster submissions and more fees.
No. ConversationPilot runs as a discreet desktop overlay only the consultant can see, over Zoom, Teams, Meet and phone calls, with no bot in the meeting. You remain responsible for complying with call-recording and consent laws in your jurisdiction.
Real-time prompts, objection handling and qualification — while the call is happening.