One intake layer for calls, chats, and emails.
Process customer-service calls, chats, and emails in one review layer so every channel contributes to the same quality picture.
Features
CXR.ai processes calls, emails, and chats, adds 15 data points to every interaction, and helps enterprise teams find script deviations, compliance issues, vulnerability, fraud, and cohort patterns at scale.

Process customer-service calls, chats, and emails in one review layer so every channel contributes to the same quality picture.
Extract summaries, sentiment, quality outcomes, script deviations, compliance issues, fraud and vulnerability indicators, and custom qualifiers.
Move from a cohort pattern to the call, chat, or email evidence that explains it without losing context.
Keep operational structure visible while comparing service quality across teams, campaigns, agents, queues, and customer groups.
Prioritize review-worthy interactions with the evidence needed for risk, compliance, and service recovery workflows.
Make coaching, audit, and collaboration easier by keeping outputs traceable to the original customer conversation.
CXR.ai is built around the real workflow: ingest service conversations, classify them, identify risk and quality gaps, then collaborate with the teams who can improve the customer experience.
Bring high-volume customer-service interactions into CXR.ai without splitting quality review across channel-specific tools.
Use the 1M+ counting library of checks, brand-specific qualifiers, and auto-classification questions to structure every record.
Route evidence-backed findings into coaching, compliance follow-up, service recovery, and operating decisions.
Use CXR.ai across business units, service teams, outsourced call centers, and risk functions that need coverage, traceability, and configurable review logic.
Traceable outputs tied to the original call, email, or chat.
High-volume review workflows for QA, compliance, and operations.
Cohort segmentation across campaigns, agents, teams, and questions.
