solutions / ai-call-center-qa
AI call center quality assurance with 100% coverage.
Most QA teams hear 1 to 3 percent of calls and guess the rest. We deploy AI review across every recorded call: per-criterion compliance verdicts backed by quoted evidence, a coaching tip per call, and structured data — all landing in a dashboard your QA team can actually query.
ai-call-center-qa.reportstatistique
- QA that samples 1 to 3 percent of calls and hopes
- scores without evidence, so every review becomes a dispute
- compliance drift discovered months late, in an audit
+ every call scored against your rubric: pass, fail, or n/a per criterion
+ each verdict backed by a quoted line from the call itself
+ an overall compliance percentage and a coaching tip per call
how it works
From recording to receipts
01
Ingest
Recordings flow in continuously from your existing telephony or storage. No workflow change for agents.
02
Transcribe & separate
Every call becomes a speaker-separated transcript, ready for scoring.
03
Score against your rubric
A multimodal AI evaluates each criterion from your own QA standards, quoting the exact line behind every verdict.
04
Query, coach, prove
Results land in a filterable dashboard. QA leads move from spot-checking to querying; disputes end at the quoted evidence.
what you get
- every call scored against your rubric: pass, fail, or n/a per criterion
- each verdict backed by a quoted line from the call itself
- an overall compliance percentage and a coaching tip per call
- structured data extracted from the conversation automatically
- a dashboard filterable by agent, campaign, criterion, and score
proof
In production
call centers2026
AI Call Center Quality Assurance With 100% Call Coverage
A multimodal AI platform that scores every call-center recording for compliance, extracts structured data, and coaches agents, replacing sampled QA.
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A forensic audit of 3M+ dialer records corrected a 5x reporting error and recovered a call center's true answer, rejection, and abandonment rates.
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Frequently asked questions
- What is AI call center quality assurance?
- AI call center QA uses a model to review every recorded call against your compliance rubric, producing per-criterion verdicts, an overall score, and coaching guidance, instead of a human team sampling a small fraction of calls.
- Can AI really review 100 percent of calls?
- Yes. The pipeline ingests recordings continuously with bounded concurrency and automatic retries, designed around a ceiling of hundreds of calls per minute. Coverage stops being a staffing question and becomes an infrastructure property.
- How do we know the AI's scores are right?
- Every verdict is backed by a quoted line from the call, so a human can verify any score in seconds. Scoring follows your own rubric rather than generic sentiment, and thresholds are tuned with your QA team during rollout.
- Does this replace the QA team?
- It refocuses them. Humans stop sampling and start coaching: the AI provides complete coverage and evidence, and your QA leads spend their time on the conversations and agents that need attention.
- What does call recording QA include beyond scoring?
- Speaker-separated transcripts, per-criterion compliance verdicts with quoted evidence, an overall compliance percentage, a coaching tip per call, and structured fields extracted from the conversation for downstream systems.