Every AI-enabled system we scope now starts with a transparency and human-oversight review — codifying practices we've used informally for years.

The checklist covers data provenance, model explainability, and a defined point where a human reviews or can override an automated decision.

It adds a small amount of upfront scoping time and consistently saves rework later, since oversight requirements are easier to design in than to retrofit.