Customer Support Intelligence
Customer Support Quality Assurance Agent
Scores every voice, chat, and email interaction against your own rubric automatically, with evidence, compliance checks, and coaching recommendations attached, not just a small sample.
Watch a real interaction get scored end to end in under two minutes. No sign-up required to see it work.
Overall score
Compliance check
Coaching flag
AI confidence
Manual QA Cannot Keep Up With Interaction Volume
Support teams handle thousands of interactions a day. Most QA programs can only review a small sample by hand, which leaves the rest unmeasured.
No Consistent Standard
Interactions are not measured against the same quality bar across agents, teams, or channels.
Subjective Assessment
Agent performance is difficult to judge objectively when every reviewer scores a little differently.
Unidentified Skill Gaps
Coaching opportunities go unnoticed when only a fraction of interactions ever get reviewed.
Compliance Blind Spots
Required disclosures and process steps can be missed without anyone finding out.
No Trend Visibility
Customer experience patterns cannot be tracked systematically from a small manual sample.
No Data for Leadership
Leaders lack the evidence to support a quality improvement initiative with real numbers.
Every Interaction Evaluated, Not Just a Sample
Voice, chat, and email interactions are ingested, standardized, and evaluated against your own rubric using generative AI.
Criterion-Wise Quality Scores
Each evaluation criterion scored on its own, not folded into one vague number.
Overall Quality Assessment
A single, standardized read of how the interaction went overall.
Evidence Behind Each Score
The exact quote or moment in the interaction that produced the score, not a black box.
Compliance Observations
Required disclosures and process steps checked automatically, every time.
Coaching Recommendations
A specific, actionable coaching note tied to what actually happened in the call.
Confidence Scores
Every AI-generated evaluation comes with a confidence level, so QA leads know what to double-check.
Watch a Sample Interaction Get Scored
This is a sample call, not a real customer interaction. Step through it to see exactly what a QA lead would see.
Interaction Intake
The interaction is ingested and transcribed automatically, no manual upload or tagging required.
Channel
Voice call, 8 min 42 sec
Agent
Support Agent J. Reyes
From Raw Interaction to Coaching Note
Ingest
Voice, chat, and email interactions pulled in from your existing contact center and CRM platforms.
Standardize
Every interaction, regardless of channel, is converted into one common evaluation format.
Score Against Rubric
AI evaluates each interaction against your own quality criteria, not a generic scorecard.
Route for Review
Scores, evidence, and coaching notes land with the QA lead, ready to act on.
Deployment timeline figures withheld until backed by engagement-specific data. Publish the process, not invented numbers.
The Pattern Has Already Worked in Comparable Support Deployments
These are published results from related customer support AI deployments, ticket deflection and knowledge automation, not this specific QA scoring product. The relevance is the workflow pattern, not an identical use case.
Drop in L1 ticket volume when an AI agent solved issues directly
Lower dealer call center load with an AI-powered chatbot
Faster issue resolution speed with automated support
Questions QA and Support Leaders Ask First
No. It replaces the manual sampling and scoring work, so QA analysts spend their time on coaching and process improvement instead of reviewing a small percentage of calls by hand.
Voice calls, chat transcripts, and email threads, all standardized into one evaluation format so scoring is consistent across channels.
Yes. The rubric is configured to your existing evaluation criteria, communication standards, and compliance requirements, not a generic scorecard.
Every score comes with the evidence it was built from, a direct quote or timestamp from the interaction, along with a confidence score, so a QA lead can verify it in seconds.
Every interaction can be evaluated, not just the small sample a manual QA process typically covers, giving full visibility instead of a limited snapshot.
Data is accessed through secure integrations with role-based access and a full audit trail, working with your existing contact center and CRM systems instead of replacing them.
See It Score a Real Interaction
45 minutes, agenda published below so there are no surprises. Bring a real call or chat transcript if you can.