Every reply gets reviewed, not a sample.

You write what a good and a bad reply is for your business. The AI agent reads what each rep answered, flags whatever falls outside those criteria, and the manager reviews it per person and per type of fault.

Three severity levels · Every flag with the verbatim phrase and the chat · Off until you turn it on

The expensive mistake shows up once the customer is gone.

A price quoted wrong, a promise that cannot be kept, a question left unanswered. They surface when the customer complains, or when they stop writing.

You are the one who sets the bar.

The agent does not bring its own idea of what is right. It compares against two lists your company defines in the CRM settings, and that get changed when the business changes.

The model classifies. The system verifies.

The flag is not recorded because the AI says so. It goes through the system checks before it gets attached to a person.

Who is missing, what they miss on and what they said.

The "Response quality" section of the CRM dashboard answers those three questions in that order, for the period you choose.

The last word belongs to a person.

From the rep row you go into their flags. Each one shows the real message with the quoted phrase highlighted, and the chat where it happened is one click away.

What gets checked in the first demo.

The module that comes next.

Bring three replies you did not like.

We turn them into criteria live and see what the agent flags across real conversations from your team.