First-of-a-kind QA intelligence for enterprise service teams
CXR.ai turns every customer conversation into quality intelligence.
Process calls, emails, and chats with 100% QA coverage. Find script deviations, compliance issues, fraud, vulnerability, custom qualifiers, and cohort patterns before they become customer-experience debt.
Built for enterprises responsible for every customer interaction
CXR.ai adds structure to the conversations brands already have: 15 data points, a 1M+ quality-check library, auto-classification, and evidence-level review across calls, emails, and chats.
Three core motions that make full-coverage review usable at scale.

Enterprise service teams need more than transcripts. They need a system that finds what matters.
QA every customer interaction, not just the sample.
CXR.ai processes calls, emails, and chats so enterprise teams can see the full service experience instead of a narrow audit slice.
15 customer-service data points from every interaction.
Summaries, sentiment, script deviations, compliance issues, vulnerability, fraud, custom qualifiers, and grouped reasons stay in one operating layer.
Ask questions once. Group bulk data automatically.
Auto-classify questions let teams group conversations across campaigns, agents, cohorts, and customer situations without manual tagging.
From raw interaction to structured quality signal.
CXR.ai turns service conversations into summaries, quality checks, risk signals, custom qualifiers, grouped reasons, and review-ready evidence so teams start from the right signal.
Explore the AI layerClaims built around full-coverage QA, structured review, and bulk classification.
Move beyond manual sampling and bring every eligible call, email, and chat into the quality review workflow.
Add structured intelligence to each customer-service experience so teams can compare quality, risk, and behavior at scale.
Use a growing library of quality checks and custom qualifiers to evaluate brand-specific service standards.
One review system for quality, risk, and operations.
Scale quality review without lowering the bar.
Apply brand standards, call-center scorecards, custom qualifiers, and script checks consistently across every channel.
Identify fraud, vulnerability, and compliance risk early.
Surface disclosure gaps, vulnerability indicators, fraud signals, and policy misses with the underlying interaction attached.
Collaborate with call-center teams on what to fix.
Compare cohorts, campaigns, agents, and teams to find script deviations, training needs, and recurring friction.
Built for brands that want to understand service quality at scale.
“We built CXR.ai for teams that cannot afford to manage customer experience through random sampling anymore.”
“The promise is simple: process every interaction, classify what matters, and keep evidence close enough to act.”
A measurable layer above every conversation.
Go from scattered reviews to a structured customer-service dataset that teams can search, classify, compare, and act on.
Built for enterprise review environments.
100% QA coverage across calls, emails, and chats.
15 data points added to every customer-service interaction.
Fraud, vulnerability, compliance, script deviation, and custom qualifier detection.
Bulk auto-classification across cohorts, campaigns, teams, and agents.
See the product in the context of your workflow.
Tell us how your team reviews customer service today. We will tailor the walkthrough around your channels, scorecards, risk priorities, and the cohorts you want to classify.

