Organizations spend enormous energy defining rules and almost none ensuring those rules are enforced consistently. Approvals, permissions, spending limits, and operational constraints exist almost entirely at the social layer. They live in documents, email threads, and the assumptions of whoever configured a dashboard. When an action executes, the system executing it rarely verifies whether the organization's actual rules were satisfied.
Artificial intelligence agents make this gap critical. Once an agent has access to tools or credentials, it stops being an assistant and starts being an operator. At that point, enforcement cannot live in policy documents or after-the-fact review. It has to happen at execution.