When an AI agent repeatedly fails to schedule incident alerts, the first step is to conduct a thorough investigation into the underlying causes. This involves examining agent logs for specific error messages, reviewing its configuration for incorrect permissions or alert definitions, and verifying the integration with the incident management system. Consider checking the alerting rules and trigger conditions to ensure they are clear, unambiguous, and meet the required thresholds. If the issue persists, implement temporary manual override procedures or integrate a fallback system to ensure critical alerts are not missed while troubleshooting continues. You might also need to retrain or reconfigure the AI agent if the failures stem from incorrect model understanding or outdated parameters. Finally, exploring alternative scheduling tools or escalation to a specialized AI operations team could provide a more robust and reliable long-term solution.