When an AI agent repeatedly fails to route incident alerts, the immediate priority is to conduct a thorough root cause analysis, examining its logs, configuration settings, and integration points with other systems. It's essential to evaluate the AI model's performance, ensuring its incident detection and classification logic are accurate and robust enough for diverse alert types. Simultaneously, review the defined routing rules and escalation paths to confirm they are comprehensive, correctly configured, and adequately cover all potential scenarios. Implement a reliable manual override or a secondary routing mechanism to serve as a critical fallback, guaranteeing that no vital alerts are missed during the AI's malfunction. Furthermore, consider retraining or fine-tuning the AI agent with updated data to improve its decision-making and establish continuous monitoring with clear metrics for its routing accuracy and overall reliability.