RACI Matrix

A RACI matrix is a responsibility assignment chart that defines roles for key stakeholders in a project or process by categorizing them as Responsible, Accountable, Consulted, or Informed. In AI governance, RACI matrices clarify who owns AI decisions, who has final sign-off authority, which teams must be involved in reviews, and who needs to stay informed about deployments and changes. This structured approach reduces ambiguity, prevents accountability gaps, and ensures compliance activities are properly assigned across technical, legal, and business functions.

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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