Use case · Sales enablement

Your reps practice on customers. Or on AI.

Recutr plays the prospect — pushes back on price, defends a competitor, tests their discovery. Your rep runs a real call and gets a coaching scorecard before they talk to a paying customer.

AI plays the prospect6 scored dimensionsScorecard in < 2 minNo manager required
The problem

Sales rep coaching doesn't scale. Until now.

6 months

average ramp before a new rep carries their full quota

New reps learn by losing deals.

The first 6 months of real customer calls are part ramp, part expensive practice. Each lost deal is tuition — and the customer pays the bill.

57%

of reps miss quota — even in teams with formal onboarding

You can coach 2 reps well. Your team has 20.

1:1 coaching doesn't scale. Most reps go weeks without structured feedback, developing habits — good and bad — with no correction until the post-mortem.

0

structured practice calls for the average rep before they go live

You find the gap in the post-mortem. Not the pitch.

Discovery gaps, price caving, poor objection handling — these surface after the loss. The AI surfaces them in a practice call, not a customer one.

How it works

Configure once. Reps self-serve from there.

01

Set the scenario

Define the AI prospect: industry, company size, persona, and objections. Upload your product docs and a battle card. The agent uses your materials — not generic sales fiction.

Custom persona · any competitor · done in minutes
02

Rep runs the call

They join by browser or phone. The AI plays the prospect — pushes back, defends a rival, tests their closing. The rep handles a real conversation, not a scripted role-play.

Web or phone · 15–25 min · no facilitator
03

Get the coaching scorecard

Six dimensions scored with timestamped coaching moments and a written summary. The rep knows exactly what to fix and why — before the next real call.

< 2 min · specific · actionable
Live mock call

A real objection. A real rep. A coached scorecard.

The AI prospect pushes back on the contract, defends the competitor, and tests whether the rep can uncover real pain before pitching. The scorecard flags the gap immediately.

Live · Account Executive · Enterprise SaaS scenario
00:02:14
Prospect (AI)00:01:08

We're locked in with Gong for another 18 months. I'm not sure why we're having this call.

Rep00:01:16

Fair. When we last spoke you mentioned win rates had plateaued. Has anything changed there?

Prospect (AI)00:01:29

Not meaningfully. But I'm not sure that's a tooling problem — could be process.

Rep00:01:38

What does your rep coaching workflow look like outside of call recordings right now?

Prospect (AI)00:01:52

[probing] Manager-led reviews. Twice a month, maybe. Across 24 reps.

Rep00:02:01

So roughly 48 sessions a month your managers are running. What does that do to their pipeline time?

Italic lines = AI probing follow-up · still in progress

Live scoring

Discovery depth8.4
Objection handling6.1

Didn't address the contract lock-in

Talk ratio41%

Ideal range

Value articulation5.8

Pain identified — ROI not yet anchored

Coaching flag · 00:01:16

Rep pivoted to discovery before addressing the contract objection. Prospect still anchored on the 18-month lock-in.

What gets scored

Six dimensions every sales manager cares about.

Discovery depth

Does the rep qualify before pitching? Are they asking MEDDIC or SPIN questions — or jumping straight to demo mode?

Watches for: budget/authority questions, problem framing, pain quantification

Objection handling

Do they cave on price? Redirect or deflect? How do they handle "we already have Gong" or "now isn't the right time"?

Watches for: acknowledgment, reframe, evidence, next step

Talk ratio

Best reps talk 40–50% of the call. Monologues lose deals. The AI tracks this down to the second and flags when the rep dominates.

Target: 40–50% rep · 50–60% prospect

Value articulation

Can they tie features to business outcomes? Do they speak the buyer's language or product-feature language?

Watches for: ROI anchor, business impact, specificity

Closing & next steps

Are they driving a concrete next step? Time-boxing? Or ending with "let me know what you think" and hoping for a reply?

Watches for: mutual commitment, timeline, named next action

Product knowledge

Do they hesitate on specs, fabricate details, or misplace capabilities? Do they know what competitors do and don't do?

Watches for: accuracy, confidence, competitive awareness

When to use it

More than a one-time onboarding tool.

New hire ramp

Run structured mock calls before reps go live. Set a minimum score threshold before they talk to a real customer. Cut ramp time without cutting corners.

Ongoing skill assessment

Monthly or quarterly mock calls for the whole team. Track each rep's scores over time — spot skill drift before it shows up in quota attainment.

Pre-call warmup

Rep spends 10 minutes with the AI before a high-stakes call. Sharpens the pitch, tests objection handles, and walks in confident.

Competitive readiness

Set up a scenario where the prospect is locked into a rival. The AI defends the competitor — the rep has to earn the conversation.

Self-serve coaching

Reps run a call, read the scorecard, and know exactly what to improve — no manager required to schedule, attend, or debrief.

Product launch readiness

Before a new product ships, every rep runs a mock call on the updated pitch. You know who's ready and who needs another pass before launch day.

more coaching touchpoints per rep per month

< 2 min

from call end to coaching scorecard

0

managers required to schedule a practice call

Put AI in the training room before reps hit the sales floor.

14-day trial · no card required · cancel any time