AI System Inventory

An AI system inventory is a comprehensive catalog or registry that documents all artificial intelligence systems deployed across an organization, including their purpose, data inputs, model types, and operational status. Maintaining an accurate inventory is foundational to AI governance, enabling organizations to track model performance, assess compliance risks, manage technical debt, and ensure accountability across their AI infrastructure. Without visibility into what AI systems exist and how they operate, enterprises cannot effectively implement consistent governance policies or respond to regulatory requirements.

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ResearchGlobal2026-07-14

A Five-Phase Blueprint Builds a Full AI Governance Program in Six Months, Offering a Replicable Model for Enterprises Without Dedicated AI Counsel

Fortium Partners published a case study documenting how a Fractional Chief AI Officer constructed an enterprise AI governance program from scratch in six months. The program was grounded in ISO 42001 and the NIST AI Risk Management Framework and delivered a complete operating model including a RACI matrix, three-tier risk classification, AI System Inventory, vendor security review enhancements, and a Center of Excellence training function. The case study presents a five-phase implementation blueprint designed to be adopted by other organizations seeking to right-size governance to actual risk.

ISO 42001 NIST AI RMF Fortium Partners AI governance program risk classification AI system inventory RACI matrix implementation blueprint