Understand collected telemetry data

Automation orchestrator collects telemetry data to support observability and operational insights while applying privacy controls to protect sensitive information in AI-generated content.

Telemetry data in automation orchestrator includes metrics, traces, and logs that describe platform behavior and workflow execution. This data is used to support monitoring, alerting, and performance analysis. Because workflows can involve AI agents that process sensitive information, automation orchestrator applies privacy controls to prevent sensitive values from appearing in telemetry output. You can configure telemetry collection and forwarding to integrate with your existing observability stack using OpenTelemetry-compatible endpoints.