Governance Operating Model

A governance operating model defines the organizational structure, roles, responsibilities, and decision-making processes that enable effective AI governance within an enterprise. It establishes how governance bodies interact, what authority each stakeholder holds, and how compliance decisions flow through the organization. This framework is critical for ensuring accountability, reducing duplication of effort, and enabling consistent AI policy enforcement across business units and technical teams.

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ResearchGlobal2026-07-28

PwC Netherlands Publishes Integrated AI Governance Blueprint Combining Inventory, Literacy, and Accountability in One Operating Model

PwC Netherlands has published a case study describing how it built an organization-wide AI governance program covering a full AI system inventory, structured AI literacy training, and a formal risk management blueprint with defined roles and responsibilities. The case study is intended to serve as a replicable template for enterprise compliance teams. It addresses three governance workstreams that many organizations manage in isolation rather than as a unified program.

PwC AI inventory AI literacy roles and responsibilities risk management EU AI Act governance operating model