Webinar · January 27, 6:00 PM CET | January 28  10:00 AM CET

Automated Quality Assurance in Customer Service

Challenges, Implementation, and Use Cases

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In this session, we demonstrate how AI-based quality assurance can be implemented in real contact center operations with minimal integration effort and full managerial control. Using real examples from QAWacht, we show how automated QA works end-to-end—from call analysis to dashboards and governance.

Topics we’ll cover:

Live and recorded call analysis with up to 100% coverage

Transparent AI-based quality scoring with human review and correction

Dashboards with drill-down from KPIs to individual conversations

What you’ll take away from the session:

A clear understanding of how automated QA can replace sample-based controls

Practical insight into implementation effort, risks, and timelines

Concrete use cases across quality management, compliance, coaching, and audits

Learn how to scale QA without increasing headcount

Gain a concrete business process view of using AI-based QA in contact center operations

See how AI can support — not replace — human responsibility in QA decisions

Please complete the form to register