How does an AI Email Agent analyze customer sentiment?

Every incoming email processed by Televanta's AI Email Agent is given a sentiment score: positive, neutral, or negative.

Emails with strongly negative sentiment are flagged and escalated to a senior agent or a specific team queue, ensuring frustrated customers are prioritized for immediate human handling.

Sentiment trends are tracked over time in Televanta's reporting dashboard, helping you identify systemic issues driving negative customer emotion.

For example, an email arrives saying "This is the third time I have contacted you about the same problem and nothing has been fixed.

I am extremely disappointed." Televanta scores this as highly negative, flags it as urgent, routes it to the senior customer relations team, and adds a note showing the customer's three previous contact events.

The customer receives a response from a senior team member within 15 minutes.

Use case: A telecoms company uses Televanta's sentiment trends report to identify that a specific broadband product is generating 80 percent of negative-sentiment emails.

The product team investigates and finds a configuration issue affecting a subset of customers.

The problem is fixed proactively before it generates more complaints, informed entirely by Televanta's sentiment data.