Governance Policy
A formal document that codifies rules, roles, and procedures for AI development and oversight within an organization.
A written, binding directive - approved by senior leadership - that outlines permissible AI activities, approval criteria for new projects, incident-reporting protocols, and enforcement mechanisms. Policies are version-controlled, published to all stakeholders, and integrated into training programs. They serve as the legal basis for governance enforcement and are periodically reviewed for relevance.
A telecom operator’s AI Governance Policy mandates: all customer-facing AI must pass bias and privacy assessments, developers must complete ethics training, and any data breach triggers a 24-hour incident-report. The policy is distributed to all data-science teams and enforced via automated pipeline checks.
“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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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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