Define the reference architecture for AI solutions, covering approved models and services, data access, retrieval patterns, human oversight, testing, monitoring, explainability, security, records and model lifecycle controls. Create current-state process, capability and dependency views; identify service, control and operating-model gaps; and define practical transition plans that reduce fragmentation without disrupting client service.