AI agent performance can be evaluated using four strategic categories: technical quality, user experience, business value, and long-term sustainability.
Key metrics for evaluating the technical functioning of the AI agent include response time, error rate, and task completion rate.
Metrics related to user interaction and perception include conversation quality, user satisfaction score, and retention rate.
Organizational outcomes can be measured by metrics such as resolution rate and cost efficiency, while the AI's adaptability and scalability determine its long-term value.