This design assumes a centrally governed on-premises operating model where AI data is treated as a controlled enterprise asset with strict lifecycle discipline from creation to archival and reuse. Ownership is anchored within the enterprise platform team, with access and retention governed through identity-led controls enforced via Active Directory and audit oversight systems. The model prioritises durability, traceability, and controlled reuse over unrestricted access, ensuring all data movement is policy-driven and auditable. Execution is strictly on-premises, with governance anchored through Azure Active Directory to maintain identity integrity across the lifecycle.