Back to work

Speech + compliance agents

PremierNX QA Evaluation System

A multi-client call-center QA platform that transcribes recordings, scores agents against configurable rubrics, and produces evidence-backed compliance reports.

4+ hrs/day saved80% QA workload reductionEvidence-backed scoring
QA evaluation system showing multi-agent processing

Problem

Manual call audits were slow, inconsistent, and difficult to scale across clients with different compliance forms and scoring policies.

Approach

  • Built pluggable transcription providers so the platform could adapt to cost, quality, and availability constraints.
  • Modeled scoring criteria with configurable forms, mandatory items, and zero-tolerance policies.
  • Used LLM reasoning to attach comments, evidence, timestamps, and explanations to each score.

Architecture

  • Audio upload triggers transcription and normalization.
  • Criteria engine loads client-specific QA forms.
  • Evaluation agents score each criterion and return evidence.
  • Admin dashboards expose totals, comments, and audit history.

Production

  • PII handling and redaction patterns protect sensitive transcripts.
  • Token and transcription cost tracking keep AI usage visible.
  • Role-based access and audit logs support enterprise review.

Result

QA review shifted from repetitive manual listening toward faster evidence review, exception handling, and coaching.

Confidentiality note: The public site uses workflow visuals only. Real transcripts and client examples should be redacted or recreated synthetically.

Stack

FlaskAWS BedrockDeepgramAWS TranscribeEdenAIMySQL/RDSDockerLangChain