Machine learning systems become operational systems the moment a prediction changes a real workflow. That means ingestion, model execution, human review, and evidence retention all matter as much as the model itself.

A production-safe image pipeline should separate the raw asset store, the inference queue, the moderation or review step, and the audit log that records which model version produced which decision.