The problem
Manual call auditing could not keep up with the volume of support calls, making it hard to monitor service quality at scale.
The solution
An AI agent uses speech-to-text, LLM analysis, conversation analytics, sentiment detection, and workflow automation to transcribe calls, identify recurring themes, and support service-quality improvement. The implementation turns large volumes of support calls into structured insights, helping managers detect quality issues, customer frustration, training needs, and process gaps at scale.
Key results
- 73,000/monthCalls analyzed
- 50% moreCall volume managed seamlessly
- Recurring service-quality issues identified faster from support conversations