This post examines the distinction between AI intelligence and AI governance in enterprise operations. It argues that as AI systems become more autonomous and embedded in business processes, organizations need a dedicated control plane, particularly rules engines, to ensure AI-driven decisions align with business policy, regulatory requirements, and organizational risk tolerance, rather than relying solely on monitoring and model accuracy.