Define a governed ingress path, explicit control domain and evidence return path for enterprise AI requests.
Separate customer systems, control services and model providers in one reference design.
Make policy execution and vendor routing explicit for design and assurance teams.
Return structured decision data after each request instead of reconstructing events later.
Support architecture, cyber and operational risk discussions with one shared model.
Teams need to see where controls execute, how exceptions are handled and what evidence is retained.
Without a defined control domain, vendor handoff points and responsibilities become unclear.
Multiple model endpoints create inconsistent controls and weak exception management.
Teams struggle to explain how specific decisions were approved, modified or blocked.
Business applications, assistants and workflow services originate requests.
Requests are classified, evaluated against policy, optionally modified and logged.
Approved requests are routed to external or internal model services through approved paths.
Entry path for enterprise systems.
Workload sends a prompt to the approved ingress.
User and service data support downstream policy decisions.
Traffic is categorised before vendor routing.
Inspection and policy enforcement.
Sensitive data and disallowed patterns are detected.
Requests are allowed, held, modified or blocked.
Approved pathways are chosen by workload and policy.
Use one structured deployment model to assess ingress, control execution, routing and evidence return.