At the heart of every organizational failure is a discrepancy between what should be happening and what is actually happening. Many teams find this gap by hand. That is slow and error-prone. By the time the gap is visible, work may already be off track.
The Should Engine
The Should Engine is the company’s codified intent. It encompasses policies, budgets, standard operating procedures, and compliance requirements. It defines the boundaries of acceptable behavior. In a modern architecture, this intent must be machine-readable and enforceable through policy checks.
The Is Engine
The Is Engine is the real-time observation of the company’s operational state. It tracks infrastructure changes, financial transactions, and access logs. It is the ground truth of what work is actually being executed.
Closing the Gap
The value of governed autonomy lies in the ability to continuously reconcile these two engines. When an AI agent proposes an action, it represents a potential change to the Is state. A governed execution boundary evaluates this proposal against the Should state before the action occurs. If the proposal matches the policy, it continues. If it does not, it is blocked or escalated. The goal is to catch wrong work earlier.