Evaluator Agent
Evaluator Agent: AI-driven quality assurance for conversations, escalations, and coaching outcomes.
Publisher
Capgemini Technologies
Industry Type
Healthcare & Life Sciences
Product Details
This agent evaluates customer service conversations using an AI model for quality assessment. It reviews the overall conversation, the escalation status, and the coaching output, then identifies escalation triggers and provides insights for coaching.
By automating these reviews, the agent reduces manual effort and makes quality assessments more consistent. Capgemini Technologies expects it to increase the accuracy of assessments, reduce the time spent on manual conversation reviews, and improve agent performance through targeted coaching insights. Primary users are quality assurance teams, call center supervisors, coaching managers, and customer service operations. It is built for healthcare and life sciences organizations.
Key Use Cases
Automated Contact Center Quality Scoring
Analyzes healthcare contact center recordings and transcripts to generate automated quality assurance scores and compliance ratings.
Targeted Representative Coaching Insights
Isolates conversation friction points and customer escalation triggers to supply supervisors with data-driven coaching recommendations.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.