Enterprise AI in regulated industries should borrow proven safety practices from aviation and nuclear engineering rather than relying on new governance frameworks. Explainability, rigorous configuration management, continuous monitoring, human oversight, and least-privilege architectures provide a more trustworthy foundation for deploying AI in safety-critical environments.