Beyond Rules: CI-Driven Auditable AI Governance

Governance of AI agents has traditionally relied on textual rules that are difficult to enforce and verify. This article demonstrates how physical technical constraints—Git hooks, CI/CD pipelines, and automated verification—can shift AI governance from rules-based to proof-based systems. For teams deploying AI agents at scale, this approach provides an auditable framework that proves compliance through execution, not intention.