Manufacturing teams often have the signals needed to detect process drift, but those signals live across machines, shifts, quality checks, and maintenance records.
An effective AI operations workflow connects anomaly detection with the process context an operator needs. It should explain what changed, what might happen next, and which intervention is worth considering.