How does an AI Call Agent handle angry or frustrated callers?
Televanta's AI Call Agent uses real-time sentiment analysis to monitor caller tone and language throughout the call.
When frustration is detected through negative language, raised vocal pace, or repeated failed resolution attempts, the agent shifts to a more empathetic response style and can immediately trigger escalation to a human agent with the sentiment flag visible to the receiving agent.
The most upset customers are prioritised for human handling rather than kept in an AI loop.
For example, a caller contacts a broadband provider for the third time about the same unresolved issue.
Televanta detects the escalating frustration, flags the call as high priority, and transfers to a senior support agent with a note showing this is the caller's third attempt and the previous resolution steps that failed.
Use case: An energy company uses Televanta's sentiment escalation during billing disputes.
Calls that cross a negative sentiment threshold are routed directly to a dedicated retention team, cutting churn by giving upset customers faster access to decision-makers.
See how AI Call Agent works in your stack.
A 20-minute walkthrough with a solutions engineer. No slides, just your use case.
Book a Demo →