For banks and lenders

Collections is the same conversation, with a higher price for a mistake

Salesei reviews 100% of collection calls: it finds rule breaches before the regulator does, shows where the payment promise fell apart, and drills the agent against an AI debtor built from their own failed calls.

What stays invisible until the complaint arrives

Two or three calls out of a hundred get heard
Quality control cannot keep up with the volume. The other 97 go unwatched — including the ones that trigger the audit.
The breach surfaces last
First the complaint, then the request, then the search for the recording. By then the agent has repeated it a hundred times.
New agents learn on real debtors
For the first weeks they practise on real people in hard situations. Mistakes cost claims, not deals.

How it works

The same loop as in sales: listen, find, drill. What changes is the criteria and the cost of a mistake.

01
We listen to every call
Transcription and labelling of each conversation: who spoke, what the debtor promised, how it ended.
02
We check for breaches
Every call is matched against conduct rules and your internal policy. A breach is visible the same day.
03
We score the promise
Was a promise to pay recorded, were the amount and date named, did the debtor confirm.
04
We assign a drill
A failed call becomes an exercise with an AI debtor: same objection, same temperament, no consequences.

What we flag in a conversation

The list is tuned to your policy. Below is what Russian and Kazakh law restricts directly.

Pressure, threats and rudeness in any form
Disclosing the debt to third parties: relatives, colleagues, neighbours
Calls outside permitted hours
Exceeding contact frequency limits
Improper introduction: not naming oneself, the organisation, or the basis of the claim
Misleading statements about the consequences of non-payment
Ignoring a request to stop contact
We do not replace a lawyer and issue no legal opinions. We surface the conversations worth a human look, on the day of the call rather than after an audit.

What becomes measurable

100%
of calls under control
Instead of a two-percent sample
same day
a breach is visible
Instead of the lag from complaint to review
PTP
promise-to-pay rate
Per agent and per team
−30–50%
new-agent ramp time
Drills instead of live debtors

A trainer built for collections

The AI debtor behaves like a real one: argues, promises and does not pay, cites circumstances, loses temper. Scenarios come from your own calls.

Debtor types
Forgetful, confrontational, in genuine hardship, professional avoider — each with its own line.
Drill on your own mistake
Not an abstract course, but the very call that went wrong.
A check before going live
Candidates and new hires talk to an AI debtor before they call a real one.

Start with one call

Send a recording and we'll return the review: which rules were broken, whether a promise was recorded, and what to drill. No contract, no integration.

This is reference information, not legal advice. The list of requirements depends on the jurisdiction and your policy; we agree the final rule set with your lawyer during the pilot.