Auditing an AI agent's actions within ServiceNow primarily involves leveraging the platform's robust logging and monitoring capabilities. This includes reviewing the activity streams of records the AI interacts with, examining system logs for agent-specific events, and analyzing audit trails on relevant tables that track data changes or interactions initiated by the AI. Additionally, administrators can utilize ServiceNow's reporting and Performance Analytics features to create dashboards that visualize AI agent usage, decision-making patterns, and outcomes, helping identify anomalies or deviations from expected behavior. It's crucial to also incorporate a process for human review and feedback loops, where users or subject matter experts validate the AI's recommendations or actions against business rules and desired results. This comprehensive approach ensures transparency, accountability, and continuous improvement of the AI agent's performance and compliance within the ServiceNow environment. More details: https://www.cartotecnica-piemontese.it/catalogo.php?u=//infoguide.com.ua