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Call Quality Monitoring

Call Quality Monitoring

Explore what Call Quality Monitoring means in voice automation, and how it ensures conversations meet performance, compliance, and customer satisfaction standards.

What is Call Quality Monitoring?

Call Quality Monitoring is the process of evaluating phone conversations to ensure they meet organizational standards for clarity, professionalism, accuracy, and resolution effectiveness. In traditional call centers, this typically involved live supervisors listening to random call samples.

With AI-driven voice systems, call quality monitoring becomes continuous, automated, and data-rich to provide immediate visibility into every interaction without needing to manually review each call.

Why is Call Quality Monitoring important?

For businesses automating calls with AI, maintaining consistent service quality is critical. Monitoring ensures that:

Conversations meet brand standards for tone, accuracy, and professionalism.

AI agents improve over time based on real-world performance data.

Compliance and risk management protocols are followed.

Customer experience remains a competitive differentiator, even at scale.

B2B teams in industries like finance, healthcare, and SaaS often rely on call monitoring to validate service delivery, maintain audit trails, and drive continuous optimization.

How Call Quality Monitoring Works with AI Voice Agents:

Automatic Transcription and Analysis

Calls are transcribed and evaluated automatically against KPIs like intent resolution, politeness, escalation rates, and script adherence.

Sentiment and Behavioral Scoring

AI models assess customer sentiment and agent responsiveness during calls.

Quality Dashboards and Alerts

Insights are surfaced in real-time dashboards, with alerts for anomalies like high drop-off rates, missed escalations, or negative sentiment spikes.

Continuous Improvement Loops

Insights from monitoring feed back into model training, call flow adjustments, and agent script optimizations.

Call Quality Monitoring in action:

A global SaaS company uses Retell AI’s monitoring tools to automatically score every AI-handled support call based on resolution time, sentiment, and escalation necessity that can reduce manual call reviews by up to 90% while boosting customer satisfaction scores.

Call quality monitoring ensures that as you automate more conversations, quality remains high and continues to get better over time, giving businesses a competitive edge through superior voice experiences.

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