The AI prepares the review. Your team stays in control.
CXR.ai structures the conversation, highlights the right evidence, and lets reviewers own the judgment, escalation, and coaching decision.
AI layer
AI that turns customer conversations into structured service intelligence.
CXR.ai processes calls, emails, and chats, applies quality checks and custom qualifiers, identifies vulnerability and fraud, and auto-classifies bulk data into cohorts your teams can act on.
The AI layer follows the way enterprise review actually works.
AI principles for enterprise QA, risk, and customer-service teams.
Every summary, check, flag, and qualifier stays anchored to evidence.
Outputs are designed for enterprise review: traceable, comparable, and tied back to the source call, email, or chat.
The point is service intelligence, not AI theatre.
The system exists to help brands understand customer-service quality, risk, and experience patterns at full scale.
Ask better questions of your service data.
Auto-classification questions let teams group calls across cohorts: customers with vulnerability indicators, calls with script deviations, interactions with compliance issues, or any custom service qualifier the brand wants to track.
Generate summaries and context for every conversation.
Run quality checks, policy checks, and risk detection together.
Group recurring patterns into cohorts for investigation and action.
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Guardrails for enterprise teams evaluating AI-led QA.
QA, compliance, and operations teams still own final decisions. CXR.ai makes the evidence faster to find.
Each finding can be traced back to source evidence, making coaching, audit, and internal review easier to defend.
Teams can align checks, custom qualifiers, and auto-classification questions to how the business already evaluates service.