Gated Process

A gated process is a staged approach to AI development and deployment where advancement between phases requires explicit approval and verification of specific criteria or controls. In AI governance contexts, gates typically enforce compliance checkpoints such as bias testing, security validation, legal review, and stakeholder sign-off before models move from development to production or higher-risk use cases. Gated processes are critical for managing risk in enterprise AI systems because they prevent inadequately vetted models from being deployed at scale and ensure accountability throughout the model lifecycle.

1 item

ResearchGlobal2026-07-14

Gated AI Governance at Scale: A Case Study in Executive Oversight, RACI Accountability, and Build-vs-Buy Decision Frameworks

THIS IS ORG has published a case study documenting how one enterprise moved AI governance from ad hoc experimentation to a structured, scalable operating model. The organization established an AI Transformation Council for executive oversight, introduced a gated process to move use cases from concept to funded deployment, and applied a proprietary Risk Assessment Framework covering security, ethics, and business value. The case study presents a replicable model including a RACI accountability structure and defined Build vs Buy decision pathways.

AI governance AI Transformation Council gated process RACI accountability build vs buy risk assessment framework enterprise AI governance executive oversight