Human-in-the-Loop becomes an operational bottleneck In my previous article, ” The Missing Layer in Agentic AI ,” I argued that AI agents need a deterministic execution kernel—a privileged “Kernel Space” that validates every proposed action before it touches the real world. That article focused on what happens at the execution boundary : idempotency, JIT state verification, and DFID-correlated telemetry. But establishing that boundary immediately raises a natural question: who exactly is crossing it, and under what authority? The focus here is on a narrower and more demanding class of systems. We are not looking at RAG chatbots, research copilots, or lightweight assistants that only retrieve and summarize information. The target is high-stakes agentic systems: systems allowed to mutate external state by moving money, changing infrastructure, or modifying critical records. The approach presented here is not a general-purpose agent framework; it is an enforcement pattern for side-effectful systems.…