How to monitor usage and performance of AI steps

Monitoring the performance of AI agents post-deployment is crucial, as teams need to track their usage and effectiveness. Establishing an efficient operational infrastructure is essential, along with behavioral insights that reveal how the agent interacts with users and makes decisions. Comprehensive dashboards are necessary not only to confirm system functionality but also to include behavioral assessments, ensuring that the agent provides accurate and relevant responses to users.