AI quality assurance for contact centers
Most QA programs still judge quality from a thin sample. QaTracker evaluates eligible recorded conversations against your criteria, then puts scores and evidence in front of the managers who still decide what happens next.
Inside a call review
This is the moment that matters operationally: a score, the categories behind it, and findings a reviewer can open with evidence still attached.
Call review
CALL-4892 · Nino T. · Retail Banking · Tbilisi
Overall score
87
/ 100
Evidence-linked findings
Required fee-change disclosure
08:41Fee timing was mentioned, but the required reference to where the customer can review full terms was not detected.
Agent: "The updated schedule applies from next month. I can send the details by SMS if that helps."
Identity verification before account detail
01:12Criterion met. Shown as supporting evidence for the overall score.
Agent confirmed full name and date of birth before discussing card settings.
Fictional demo data for illustration
When review depends on small samples, compliance issues, coaching needs, and experience patterns stay invisible until they become expensive. Broader evaluation does not remove human judgment. It gives that judgment more of the week to work with.
Listening capacity sets the ceiling. Everything outside the sample is effectively unreviewed.
Eligible recorded conversations enter a shared evaluation path. People still decide; they just start from more signal.
Human review remains important. QaTracker structures the work so teams spend less time hunting for the right call and more time deciding what to do with it.
Step 01
Bring in eligible recorded inbound and outbound conversations from the environment your agents already use. Coverage starts with what your center can lawfully and operationally evaluate.
input: eligible recorded conversations
apply: company-defined scorecards
output: scores · findings · review queue
human: confirm · adjust · coach · escalate
Each capability below targets a failure mode of thin sampling: uneven coverage, weak evidence, delayed coaching, or criteria that drift between reviewers.
01
Your evaluation framework stays the source of truth. QaTracker applies the same company-defined categories across eligible calls so quality judgment does not depend on which reviewer happened to listen.
02
Potential disclosure, script, process, and conduct issues surface early enough for reviewers to act. The goal is earlier visibility into risk, not a claim that legal judgment can be automated away.
03
Every finding should show its work: the criterion, the conversation excerpt, why it was flagged, and what a reviewer can do next. That makes scores discussable instead of mysterious.
04
When coverage expands, patterns become visible across agents, teams, and periods. Leaders can coach from recurring weaknesses instead of waiting for the next sampling cycle to stumble onto them.
05
Not every conversation needs the same urgency. QaTracker ranks calls for human review using score outcomes and flagged criteria so limited supervisor time lands where it matters most.
06
Coaching sticks when both sides can hear the same moment. Supervisors get concrete examples tied to criteria, which shortens the gap between a weak call and a useful feedback conversation.
07
Structured records support audit questions, escalations, and internal review without reconstructing history from scattered notes or incomplete sample sheets.
08
Built for contact centers that operate in Georgian and English today, with planned expansion into additional regional languages where the same QA operating model applies.
A number without a story invites argument. Managers should see which criterion was evaluated, what appeared in the conversation, why it was flagged, and what action followed.
How a score is supported
Criterion, evidence, reason, and reviewer action
Criterion
Required fee-change disclosure
Why flagged
Fee timing was mentioned, but the required reference to where the customer can review full terms was not detected.
Where it appeared
CALL-4892 · 08:41
Evidence
Agent: "The updated schedule applies from next month. I can send the details by SMS if that helps."
Manager action
Reviewer can confirm, adjust, coach, or escalate using the same evidence trail.
Fictional demo data for illustration
These industries feel the cost of thin sampling quickly: disclosures, required language, and service quality leave little room for invisible weeks. The platform applies your standards more broadly; it does not claim legal compliance by association.
High call volume makes thin sampling especially risky. Broader evaluation helps teams watch disclosures, required language, process adherence, complaint handling, and service quality with more consistent coverage.
Policy explanations and claims conversations leave little room for uneven coaching. QA and operations teams can review required statements, escalation handling, and communication quality across more of the book of work.
Multi-site service operations need scheduling quality, information consistency, and sensitive-conversation handling to stay aligned. Broader review helps leaders see drift before patients feel it repeatedly.
Pharmacy chains, auto dealerships, construction, and real-estate operations can evaluate customer conversations against their own scorecards and coaching priorities, without borrowing a one-size checklist from another industry.
QaTracker helps teams apply their own standards more broadly. It does not claim legal compliance with specific regulations.
Regional contact centers do not get a free pass on quality because the language mix is harder. QaTracker is built around Georgian and English operating realities first, including company-specific terminology and local implementation support.
Current focus
Planned expansion
Contact-center conversations often include sensitive customer and operational information. QaTracker is designed so customers retain control over evaluation policies, review workflows, and access boundaries. These pages describe product principles already reflected in the platform concept. Encryption, retention, residency, and certification details should be confirmed during a security review.
Read the security overviewScorecards and review criteria follow the standards your QA and compliance teams define. The product should not invent a generic quality religion and force it onto your operation.
AI-assisted findings prioritize and support human decisions. Accountability for coaching, escalation, and final judgment stays with your people.
Managers, QA reviewers, and operations roles need different slices of the same truth. The product surface is structured around those review jobs, not around a single undifferentiated dashboard.
Findings arrive with conversation context so reviewers can confirm, adjust, coach, or escalate without reconstructing the moment from memory.
If the sampling problem is familiar, start with the product workflow. If you need industry fit or security posture next, those pages are written for the same operating reality, not as detached marketing filler.