Acts as the system's self-check mechanism — validating that each triggered action reached its intended outcome.
After an automated action occurs, the system checks whether the expected result occurred.
Monitoring observes activity; validation confirms results.
Used in automation pipelines, AI workflows, and operational systems.
Without validation, automation errors may remain undetected.
Without validation, automation errors may remain undetected.
Future systems will combine validation with anomaly detection and self-correcting workflows.