
The angry caller
A customer whose last job went wrong and who wants a real answer before they will hear anything else.
Your people practise the awkward calls against an AI customer. Their real calls come back scored within about twenty minutes, on the same rubric. No listening in, no live monitoring.
Today a new starter sits next to your best operator for a week, listens in, then goes live and you hope. The customer is the practice material.
Coach flips it. Your people rehearse the awkward calls against an AI first, so the fumbles happen in rehearsal instead of on a paying customer.
An AI customer with a real problem, a real accent and a real reason to be short.
The caller pushes back, changes their mind and asks the awkward question.
Against your rubric, applied the same way on every attempt.
As many runs as it takes, with no paying customer on the other end.
More of their leads booked by new starters who trained on Coach, against untrained new starters working the same leads.
Measured across one multi-site service business over roughly four and a half weeks, with booking outcomes read from their own job management system. Observational, not a controlled trial. Results vary.
You set the criteria and the weighting. Greeting, discovery, empathy, booking, close, whatever matters on your phones.
Mandatory criteria are absolute. A missed booking cannot be averaged away by a warm greeting.
Two calls can score the same on the soft criteria and still land in different places, because one of them did not book the job.
The rubric fails the call outright when a mandatory criterion is missed, so coaching goes where it is needed.
A rehearsal can be run again immediately. Same scenario, same rubric, a fresh attempt.
You can see the movement attempt by attempt, so readiness is a trend rather than a hunch.
Forty-two AI customers across three difficulty tiers, from the polite first timer to the caller who has already had a bad week.
New starters begin easy and work up, so the hard calls are familiar before a paying customer makes one.
Leads lost to price objections before and after objection handling practice, bringing new starters level with the veteran benchmark.
Same customer, same period. Objection handling was the criterion that separated a booked call from a lost one most sharply.
You describe the course in plain English and the AI writes the scenarios. Write it once, and every new hire runs the same path.
Add a new scenario whenever a new type of call starts showing up, at a practice volume no trainer could ever staff.
“Train new starters to handle after hours plumbing calls. They must show empathy, confirm the address, quote the callout fee and always book the job.”
Booking rates on the phones for agents who cleared their practice scenarios quickly, against those who needed the most attempts.
How many attempts a scenario takes predicts floor performance better than a single practice score does. Small sample from one customer, offered as a signal rather than a guarantee.
Rehearsal scores and real call scores land in the same view, so at a glance you can see who is still learning, who is ready to take live calls, and who is drifting on the ones they already take.
Scoring runs automatically against the rubric you set, so no one has to sit and review recordings.
Rehearsals run against AI customers, so new starters can fumble without a real caller on the line.
Real calls are pulled in through your phone system or ServiceTitan and scored on the same rubric within about twenty minutes of the call ending. Same day feedback, without a manager sitting through recordings.
Coach pulls real calls out of your existing stack for scoring, and drops AI agents onto the same lines your human team runs on. It is not locked to one platform.

Primary integration. Coach reads real call recordings and transcripts out of ServiceTitan, scores them against your rubric, and returns feedback the same day, within about 20 minutes of the call ending.

The Australian platform that actually runs at call centre scale. Coach connects the same way: pull the call, score against your rubric, hand back same day feedback.
Open architecture. If your calls live somewhere else, Coach is built to plug into any call data source, not just the two above.
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