Topic

AI Intake Process

An AI intake process is a structured procedure through which organizations formally document, assess, and evaluate proposed AI projects or systems before deployment. It typically captures key information such as use case details, data sources, model types, risk levels, and compliance requirements, enabling governance teams to make informed approval decisions. This process is critical for enterprise AI governance because it creates a centralized control point to identify potential risks early, ensure alignment with regulatory requirements, and maintain visibility over the AI systems operating within an organization.

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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