ConversationPilot coaches your reps in the moment — and gives managers a consistent, evidence-based way to develop the whole team instead of spot-checking a handful of recordings.
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A great sales coach changes behaviour on the next call, not in the next quarter. The problem is that human coaching does not scale: a manager with eight reps cannot sit in on every conversation, and the calls that most need coaching are rarely the ones that get reviewed. The quiet rep who never raises a hand, the deal that stalled without anyone noticing — those are exactly the calls that slip through the cracks. An AI sales coach closes that gap by being present on every call, for every rep, all the time.
ConversationPilot is that always-on coach. During the call it whispers the next best question, the cleanest objection response, and a reminder of what you still have not qualified. After the call it produces an objective scorecard, a summary of what went well and what slipped, and the specific moments a manager should review. The coaching is grounded in your playbooks, so the guidance matches how your team actually sells rather than fighting it.
The effect is twofold. Reps improve faster because feedback arrives while the lesson is still fresh — ideally mid-conversation. And managers coach from evidence rather than memory, spending one-on-ones on patterns that actually move win rates. It runs as a discreet desktop overlay on Zoom, Teams and Meet, so coaching is built into the call itself rather than bolted on afterward.
An AI sales coach is software that observes live sales conversations and develops the rep the way a great manager would — by guiding behaviour in real time and reinforcing it with objective feedback. It is not a recorder that you scrub through later, and it is not a generic course. It is coaching attached to the actual conversation.
ConversationPilot listens to both speakers as separate audio streams, understands the moment, and coaches accordingly. When a discovery call drifts into a feature dump, it nudges the rep back to questions. When a buying signal appears, it flags it so the rep does not talk past it. When an objection lands, it offers a tested response.
The coaching is grounded in playbooks — Sales Discovery, Enterprise Sales, Customer Success and more — so the guidance matches your methodology rather than fighting it. The result is a coach that is patient, consistent, never tired, and present on the call that matters: this one.
The fastest way to improve a rep is to correct a habit while they are forming it. ConversationPilot does exactly that. If a rep is talking 70% of the time, the talk-to-listen meter turns and the coach prompts an open question. If they forget to confirm the decision process, the scorecard shows authority still open and surfaces the question to ask.
This is muscle-memory coaching. Over a few weeks of live nudges, reps internalise the behaviours — better questions, cleaner objection handling, tighter qualification — until the prompts become instinct. New hires ramp dramatically faster because the playbook is on screen on their very first call instead of in a binder they half-remember.
Most coaching is inconsistent because it depends on which calls a manager happened to hear. ConversationPilot makes coaching systematic. Every call produces the same structured artefacts: a call score, qualification coverage, objection log, talk-listen ratio, and the moments worth reviewing.
Managers get a team dashboard, leaderboards, playbook-compliance views and a searchable call review library. Instead of guessing who needs help, a manager can see that one rep consistently runs out of time before qualifying budget, and another dominates the airtime on demos. One-on-ones become targeted: here is the pattern, here are three real clips, here is the behaviour to change. Coaching stops being anecdotal and starts being measurable.
Subjective coaching breeds defensiveness — "that is just your opinion." ConversationPilot replaces opinion with evidence. The live scorecard tracks Need, Budget, Authority, Timeline, Competition and Current Solution, marking each covered, partial or open, and rolling them into a single call score.
Because the metrics come from the actual conversation, captured with exact speaker separation, they are hard to argue with. A rep can see their own qualification gaps and talk-listen split without a manager having to point them out. That self-awareness is often the whole game: reps who can see their numbers tend to fix them on their own, and managers spend their time on the harder coaching that genuinely needs a human.
Coaching is not only for sales reps. Recruiters live on calls just as much, and the moments that decide a placement are just as fleeting. ConversationPilot coaches recruitment conversations with a mode built for talent, not retrofitted from sales. On a screening or candidate call it surfaces the next best question live and tracks a recruitment scorecard — salary, notice period, motivation, eligibility, availability and culture-fit indicators.
It detects the signals recruiters care about as they are spoken: notice period, salary expectations, motivation, interview activity elsewhere, eligibility, relocation and counteroffer risk. A recruiter gets the same always-on coaching a rep does — guidance while the call is live, an objective scorecard afterward, and a manager view across the team. Because both motions share one product, a single AI coach can develop an organisation's entire revenue-and-talent function rather than just its sales side.
Live coaching changes the current call; post-call coaching cements the lesson. When the conversation ends, ConversationPilot generates a report automatically — an executive summary, key points, objections raised, buying signals, risks, recommended next actions, CRM notes and a follow-up email draft.
That report is a coaching tool in its own right. A rep can review what they missed before the next call; a manager can drop a comment on a specific moment in the review library. Because the analysis runs on a stronger model than the live prompts, the post-call insight is deep without slowing the in-call assist down. The two layers reinforce each other: fast guidance live, thorough reflection after.
A coach who insists on one rigid style helps no one. The right coaching for an enterprise account executive working a six-month deal is not the right coaching for an SDR running first-touch discovery. ConversationPilot adapts through AI Playbooks — Sales Discovery, Enterprise Sales, Customer Success, Investor Pitch and more — each of which tunes the prompts the coach surfaces and the criteria it scores against.
That means the coaching reflects how your team actually sells rather than imposing a generic framework over every conversation. The playbook defines what a strong call looks like for each scenario — which questions matter, which signals to watch for, what complete qualification means — and the coach guides toward it. Teams can effectively encode the way their best reps run each type of call into the playbook, so every rep is coached toward the standard set by the people who do it best. The coaching is specific and credible because it speaks your methodology, not a textbook's.
The quiet failure of manual coaching is coverage. A manager can review only a handful of calls a week, and the ones that get reviewed are rarely the ones that most needed help — the quiet rep who never raises a hand, the deal that stalled without anyone noticing. The calls that fall through the cracks are exactly the ones where coaching would have changed the outcome.
An AI sales coach removes the sampling problem entirely. ConversationPilot is on every call, for every rep, with no scheduling and no extra work. That total coverage is what makes the coaching trustworthy: improvement compounds because it is constant, not occasional. A rep is not coached well on the one call a manager happened to hear and left alone on the other forty. Every conversation gets the same attentive, consistent guidance, which is the only way coaching actually scales across a growing team.
A coach that nags constantly gets ignored. ConversationPilot is designed to coach lightly — a single glanceable prompt when it genuinely helps, and silence otherwise — so reps experience it as support rather than surveillance. The guidance is suggestive, not coercive: the rep stays in control of the conversation and decides whether to take the prompt. That respect for the rep's judgement is what earns the tool a place on real calls rather than being switched off.
It also helps that reps can see their own data. Because the live scorecard, talk-listen ratio and call score are visible to the rep, the coaching feels like a mirror they can use, not a report card kept from them. Reps who can see their own numbers tend to coach themselves, fixing gaps before anyone points them out. The best coaching builds independent skill rather than dependence, and a coach that informs the rep instead of policing them is the kind reps actually want on every call.
Traditional sales training is front-loaded and quickly forgotten. A workshop delivers a burst of value, then fades because there is no reinforcement on real calls. Generic e-learning has the same problem: it is decoupled from the conversations reps actually have.
An AI sales coach inverts this. The training happens on live deals, repeatedly, in context, with feedback tied to outcomes. It does not replace great managers — it multiplies them, handling the constant in-call reinforcement so humans can focus on strategy, motivation and the judgement calls AI cannot make. For most teams the practical result is faster ramp, more consistent execution, and coaching that finally scales beyond the manager's calendar.
| Capability | ConversationPilot AI | Manual coaching & training |
|---|---|---|
| Coaching frequency | Every call, every rep | Occasional call reviews |
| When feedback arrives | Live, in the moment | Days or weeks later |
| Consistency across reps | Same scorecard for all | Varies by manager |
| Evidence behind feedback | Objective call data | Memory and notes |
| New-hire ramp | Playbook on first call | Shadowing and binders |
| Manager time required | Targeted, pattern-led | High, ad hoc |
An AI sales coach is software that guides reps during live calls and reinforces good habits with objective feedback afterward. ConversationPilot coaches in real time — next best question, objection responses, qualification prompts — then produces a scorecard and report so managers can develop the whole team consistently.
No. It multiplies them. The AI handles constant in-call reinforcement on every call, which no manager has time to do, while managers focus on strategy, motivation and judgement. Managers also get dashboards and a call library to coach from real patterns instead of memory.
New hires get the playbook on screen from their very first call — the right questions, objection responses and qualification reminders appear live. Instead of memorising a binder or shadowing for weeks, they practise the behaviours in real conversations with a coach guiding them through each step.
It shows call scores, qualification coverage, talk-listen ratios, objection logs, playbook compliance and leaderboards across the team, plus a searchable call review library. Managers can spot patterns — like a rep who never qualifies budget — and coach from specific, real moments.
Yes. AI Playbooks tune the prompts and scoring to your methodology — Sales Discovery, Enterprise Sales, Customer Success and others. The coaching reflects how your team actually sells rather than imposing a generic script over every conversation.
Yes, and that self-awareness is often the biggest win. Reps see their live scorecard, talk-listen split and call score during and after the call, so they can correct their own gaps without waiting for a manager to point them out.
Real-time prompts, objection handling and qualification — while the call is happening.