ENTERPRISE AI
When AI handles most of your customer interactions, you need more than CSAT to know what's actually happening inside those conversations.
Your AI picks up on customer frustration, confusion, rising anxiety, eroding trust — turn by turn. None of it is in your logs.

Turn-by-turn interaction-state measurement. 100% of conversations. Derived from language, not inference.
Production API · Containerized on-prem deployment available.
THE CSAT GAP
You know what your AI said.
You don't know what it did.
Your AI adjusts to frustration, confusion, and disengagement turn by turn. But that signal never lands in your logs, your dashboards, or your team's hands. Resolution rates, AHT, and CSAT are collected after the fact, from the customers who respond. They tell you the outcome. They don't tell you whether your AI was building rapport or losing it, escalating anxiety or reducing it, increasing cognitive load or managing it — turn by turn, as it happened.

THE REPRESENTATION PROBLEM
When AI becomes the face of your company, most companies can't answer these three questions.
Every conversation is a brand moment - not just whether the issue got resolved, but whether the AI built trust or eroded it, left the customer feeling helped or dismissed, increased their anxiety or reduced it.
Does it build trust or erode it?
Rapport, authenticity, emotional tone — the dimensions that determine whether a conversation ends with a customer who trusts you more or less than when they started. Measured from language, not inferred by the model assessing itself.
Does it create conflict or resolve it?
Is the AI escalating anger, increasing anxiety, increasing cognitive load, coming across as evasive or aggressive? These aren't edge cases - they're what customers experience in every interaction, and right now most companies have no way to measure them.
Can you verify any of this?
AI governing AI is a black box on a black box. Receptiviti's measurement is derived from language, grounded in 34,000 peer-reviewed citations, and independent of the model being assessed. The kind of evidence that holds up outside your organization.