Topic

Approval-Workflow

An approval workflow is a structured process that routes AI systems, models, or governance decisions through designated reviewers or stakeholders before implementation or deployment. In enterprise AI governance, approval workflows ensure that changes undergo proper oversight, risk assessment, and compliance validation before taking effect, reducing the likelihood of deploying non-compliant or high-risk AI systems. This mechanism is critical for maintaining control over AI model versions, security patches, policy changes, and cross-functional decisions that impact multiple departments.

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