Features

Features built for the end of sampled customer-service QA.

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.

Full-coverage QA, structured signals, and bulk classification in one platform.

The core pieces enterprise teams need to understand service quality.

Multi-channel ingestion

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.

Structured outputs

15 data points that turn conversations into a dataset.

Extract summaries, sentiment, quality outcomes, script deviations, compliance issues, fraud and vulnerability indicators, and custom qualifiers.

Investigation

Drill from portfolio signal to the exact conversation.

Move from a cohort pattern to the call, chat, or email evidence that explains it without losing context.

Workflow fit

Designed for campaigns, agents, teams, and cohorts.

Keep operational structure visible while comparing service quality across teams, campaigns, agents, queues, and customer groups.

Escalation

Surface fraud, vulnerability, and compliance exceptions earlier.

Prioritize review-worthy interactions with the evidence needed for risk, compliance, and service recovery workflows.

Traceability

Keep every signal anchored to the source interaction.

Make coaching, audit, and collaboration easier by keeping outputs traceable to the original customer conversation.

From raw interaction volume to operational intelligence.

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.

Step 01Process calls, emails, and chats in one workflow.

Bring high-volume customer-service interactions into CXR.ai without splitting quality review across channel-specific tools.

Step 02Apply the quality-check library and custom qualifiers.

Use the 1M+ counting library of checks, brand-specific qualifiers, and auto-classification questions to structure every record.

Step 03Collaborate with call-center teams on the right fixes.

Route evidence-backed findings into coaching, compliance follow-up, service recovery, and operating decisions.

Built for serious enterprise rollout conversations.

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.

CXR.ai dark dashboard showing overview metrics, check performance breakdown, and grouped reason insights.