Agent Health Monitoring alerts for silent agent failures
Key Takeaway
Agent Health Monitoring catches silent failures with alerts. You set a threshold on one agent's metric, such as error rate or interaction duration, and Agent Health Monitoring notifies you in near real time when the metric crosses it.
Agent Health Monitoring watches your AI agents for silent failures, which are problems that hurt customers without causing an obvious outage. You create alerts with thresholds on agent metrics. When a metric crosses its threshold, you get notified in near real time, so you can investigate and fix the problem before it spreads.
Silent failures and what Agent Health Monitoring does
For example, imagine a sudden jump in errors. It can affect multiple subagents before anyone opens a dashboard. Or imagine a latency spike during peak hours, which can increase abandonment within minutes.
Agent Health Monitoring detects these failures across your AI agents and notifies you of them in near real time.
Agent Analytics and session reviews give you point-in-time analysis. Agent Health Monitoring adds an early-warning system that flags performance problems before customers notice them. This moves the team from reactive troubleshooting to proactive monitoring, and it reduces mean time to detection.
You can also observe agent health status and trends with Tableau Next visualizations.