This design assumes a central platform ownership model where enterprise AI delivery is governed end-to-end, with clear separation between experimentation and production responsibilities. Control is enforced through policy-led identity and environment discipline, while model lifecycle decisions remain auditable and business-aligned. Consumption is API-first, ensuring reuse and minimising uncontrolled proliferation of AI workloads. AWS provides the execution context, with governance anchored through AWS IAM Identity Center and AWS Config to maintain policy fidelity and operational consistency.