This guide shows how to manage and audit tracked AI systems end-to-end—discovering, filtering, reviewing, and documenting their controls, risks, vendor responses, and supporting files. It explains generating and managing vendor questionnaires, conducting formal reviews, preserving history/attachments, and when to archive systems. Use it to streamline governance tasks, keep an auditable trail, and ensure consistent risk-based review processes.