Topic

AI Model Inventory

An AI model inventory is a comprehensive catalog of all machine learning models deployed or in development across an organization, including details about their purpose, data sources, performance metrics, and ownership. Maintaining an accurate inventory is critical for AI governance because it enables organizations to track model lineage, assess compliance risks, manage technical debt, and ensure accountability across teams. This foundational practice supports regulatory requirements, audit trails, and the ability to quickly identify and remediate models that may pose business or compliance risks.

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Corporate PolicyUS2026-07-08

Protiviti's AI Governance Guide Surfaces a Structural Gap: Most Enterprises Still Lack Formal Intake, Inventory, and Committee Controls

Protiviti has published a comprehensive AI governance guide covering executive accountability, committee structures, and scalable AI model intake processes for enterprise organizations. The guide synthesizes foundational governance practices into an FAQ-style reference for compliance and risk teams building or maturing their programs. It is aimed at US-based enterprises navigating the absence of a single prescriptive federal AI standard.

Protiviti AI governance committee AI model inventory executive accountability AI intake process ethics embedding enterprise AI governance cross-functional oversight