Governance Body
A cross-functional group (e.g., legal, ethics, technical) tasked with overseeing AI governance policies and their execution within an organization.
A formal committee - often including C-level sponsors, legal counsel, ethics experts, data scientists, and business leaders - that defines strategy, reviews high-risk projects, resolves governance escalations, and ensures alignment between policy and practice. Effective bodies meet regularly, produce public charters, and maintain decision logs for transparency.
A multinational sets up an AI Steering Committee co-chaired by the CTO and Chief Data Officer, with members from risk, compliance, and business units. They meet monthly to review all AI projects rated “high risk,” approve remediation plans for audit findings, and publish minutes to maintain stakeholder trust.

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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.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.





