Call quality control

AI call scoring built for contact center operations

Get a real-time score for every call.

eiajus replaces manual spot-checks with automated call quality control on every voice and chat interaction. Supervisors get consistent scores, compliance signals, and coaching evidence—not weeks later, but as calls finish.

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Contact center team using AI call quality dashboards

Capabilities

What our call quality platform covers

Six AI-powered checks run on every interaction—aligned to your scripts, regulations, and revenue goals.

  • Automated call scoring

    AI scores every interaction against your rubrics—no manual sampling or backlog of unreviewed calls.

  • Information accuracy

    Detect incorrect, incomplete, or misleading answers given to customers during the conversation.

  • Conflict detection

    Flag tense exchanges, escalation risk, and policy disputes before they become complaints or churn.

  • Unanswered questions

    Spot when agents leave customer questions unresolved or defer without a clear next step.

  • Quality scoring

    Consistent QA scores across teams, campaigns, and languages—comparable week over week.

  • Sales optimization

    Identify missed upsell and cross-sell moments and the talk tracks that convert on your floor.

Supervisor reviewing real-time call quality scores and analytics

Why teams switch

From 2% sampling to 100% coverage

  • Real-time scores pushed to CRM, WFM, or your QA tool as calls complete
  • Custom scorecards per line of business, language, and compliance regime
  • Supervisor alerts for accuracy gaps, conflicts, and unanswered questions
  • Coaching clips with evidence—so team leads develop people, not hunt recordings
Discuss your QA program

Platform

End-to-end call analysis—not just transcripts

Ingest recordings or live audio, transcribe when needed, score against your rubrics, and export results to the systems supervisors already use.

100% interaction review

AI call analysis across inbound, outbound, and digital channels—no statistically insignificant QA samples.

Speech analytics & topics

Track sentiment, silence, hold time, keywords, and intent signals that predict churn or complaints.

Integrations

Export scores to CRM, WFM, BI, or ticketing—webhooks and APIs designed for enterprise IT review.

Secure deployment

VPC, on-prem, or hybrid options when your security team requires data to stay in your environment.

FAQ

Common questions about call quality control

  • What is automated call scoring?

    Automated call scoring uses speech recognition and language models to review customer conversations at scale. It applies your quality rubric to every call and chat—not a random sample—and surfaces scores in near real time.

  • How is this different from traditional QA?

    Traditional QA reviews a small fraction of interactions. AI call quality control scores every conversation, so trends in accuracy, conflicts, and unanswered questions appear while they still matter.

  • Which languages and channels do you support?

    We scope language and channel support per pilot—voice, chat, and email are typical starting points. Tell us your stack during discovery and we map ingestion from your recording or CCaaS provider.

  • Can we keep data in our environment?

    Yes. eiajus designs for VPC, on-prem, or hybrid deployments when your security team requires it.

Start with a focused call quality pilot

Share your volume, languages, and QA goals—we'll outline a pilot on your real recordings within one business day.

Email info@eiajus.lt

Or use the contact form on our homepage.