Topic

Operating-Model

An operating model defines the organizational structure, processes, and technology systems that enable a company to deliver value and execute its business strategy. In AI governance, establishing a clear operating model is critical because it specifies who owns AI decisions, how risk assessments are conducted, and how compliance workflows integrate with development cycles. Without a defined operating model, enterprises struggle to scale AI safely and ensure accountability across distributed teams working on machine learning initiatives.

1 item

ResearchGlobal2026-06-02

DDMI's GRC-Layered AI Approval Model Offers a Replicable Blueprint for Enterprise Governance Programs

A case study published by Dataversity details how DDMI built an operational AI governance program by embedding AI approval checkpoints directly into existing data governance and GRC workflows. The organization evaluates each AI request by both use case and product, uses a GRC tool to create traceable coordination records, and applies guardrails covering legal compliance, security, accountability, monitoring, training, and data location. The model is presented as a replicable pattern for enterprises that already have GRC infrastructure but lack formal AI decision rights.

operating-model GRC-integration approval-workflow AI-governance-controls decision-rights