Manual call auditing could not keep up with the number of support conversations. Managers had limited visibility into service quality, recurring customer frustration, and coaching needs across the full call volume.

An AI call-audit agent uses speech-to-text, LLM analysis, conversation analytics, sentiment detection, topic classification, and workflow automation. It transcribes calls, identifies themes and quality signals, structures insights for managers, and helps teams improve service without manually reviewing every recording.

• 73,000/monthCalls analyzed
• 50% moreCall volume managed seamlessly
• Recurring service-quality issues identified faster from support conversations

Benchmarks are based on the original deployment; outcomes vary by process volume, complexity, and implementation scope. Similar workflow patterns can apply to businesses of different sizes.