Federated AI Governance
A governance model where central policy and oversight are paired with distributed decision-making by business units or regional offices, balancing consistency with operational flexibility.
Federated AI governance accepts that a single central team cannot scale to govern hundreds of AI systems across a global enterprise. The central function maintains the policy, the high-risk approval authority, and the audit-trail infrastructure; business unit or regional governance officers handle local intake, low-risk decisions, and contextual interpretation. The model only works if the central function maintains tight control over the policy itself - drift between business units is the primary failure mode.
A multinational employer with operations across 39 countries appoints a Global Responsible AI Officer who maintains the policy and high-risk review - with regional Responsible AI Officers handling local intake and approvals. This preserves consistency while scaling capacity.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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