Today's enterprise AI systems operate under a simplistic security model: permissions mirroring. This works for basic tasks like Jira ticket creation or updating documents, but creates a fundamental barrier to the most valuable workflows—those requiring coordinated actions across permission boundaries. Consider an employee locked out of their laptop and requesting help; IT has access to management systems, but current AI frameworks can't safely bridge this permission gap. The real challenge isn't permission mirroring, which is executing actions with user credentials, but rather permission orchestration—securely managing data and actions between agents operating with different permission sets. Relying on prompt engineering alone is fundamentally flawed, as even a 99% effective guardrail compounds into unacceptable risk across multi-step workflows. Action Release Gates provide the missing control layer by enforcing explicit verification at every permission boundary crossing, collapsing this error chain.