Automation reliability
How do I monitor AI automation after it goes live?
Track output quality, failed actions, human overrides, unusual usage, data-access issues, and changes in business results. Review samples regularly because a workflow can keep running even while the quality of its decisions drifts.
What to check
- What quality measure should be monitored?
- Are human corrections being recorded?
- Are unusual actions or access patterns visible?