AIBOMs are often described too narrowly as model inventories. In practice, regulated AI teams need a richer operating record that connects models, agents, prompts, datasets, tools, approvals, and policy enforcement into one visible estate.

This paper explains what belongs in a defensible AIBOM and how to translate that record into usable assurance evidence rather than static documentation.