The Execution Boundary separates AI-generated judgment from the Execution that actually occurs within a system. On the AI side, governance processing based on Evaluation and Policy classifies a proposed action as Allowed / Review Required / Prohibited. However, this classification alone does not constitute Execution. Actual Execution must pass through a boundary that is independent of the AI system.

This separation is a fundamental design principle of. I2EA AI can perform sophisticated reasoning, evaluation, and candidate generation, but Intelligence and Authority are not the same thing. An AI determining that an action is executable must be clearly distinguished from the AI having the authority to execute that action. The Execution Boundary therefore does not permit execution merely by trusting the AI’s reasoning capability. Instead, it verifies that the required execution state and Authority have been established.

In the Allowed state, Execution is permitted if the necessary execution conditions and Authority are satisfied. The key shown in the figure symbolizes the establishment of that execution authority. In the Prohibited state, the Execution Boundary blocks Execution.

Importantly, the Execution Boundary does not independently reassess semantic questions such as whether an action is dangerous or whether a Policy is appropriate. Rather, it receives the execution conditions generated by upstream Governance and deterministically applies Allow / Deny based on those conditions.

Review Required represents an intermediate state and does not itself constitute permission to execute. The case is reassessed through Human Review, additional Evidence, Authority verification, or other required processes, and may pass through the Boundary only once an executable state and the necessary Authority have been established. Execution does not proceed while the required conditions remain unresolved.

This structure ensures that even when AI models change, or when different models or Agents operate within the same environment, final Execution Control does not depend solely on judgments made within the model.

In other words, the role of the Execution Boundary is:

not to determine what is right on behalf of the AI, but to allow only states authorized for execution to proceed to Execution.