Enterprise AI Governance Best Practices

Enterprise AI Governance Best Practices defines the governance discipline an enterprise needs to make artificial intelligence visible, accountable, controlled, auditable, and improvable across business, technology, data, vendor, regulatory, and operational domains. It treats AI governance as an extension of existing enterprise inventory, Semantic Model, architecture, data, security, risk, compliance, engineering, and operating-model disciplines to AI as both a governed asset class and an operational actor. Its central thesis is that an enterprise cannot govern AI it cannot see, classify, relate, locate, assess, control, monitor, evidence, and improve. The document therefore focuses on the inventories, relationships, decision rights, controls, evidence, measurements, and adoption practices required to govern AI coherently across the enterprise.