An ontology-grounded verification framework now automates the creation of adversarial and regulatory test scenarios for AI agents. It defines an Agent Operational Envelope to formalize permissions and safety properties before production. This approach fills the gap between LLM benchmarks and deployment. Practitioners can now certify agent autonomy levels against specific domain constraints.