Framing & designBusiness objectives, AI use-case identification and platform sizing.
Architecture & platformHardware infrastructure, orchestration platform, network, storage, security, observability and operations.
Industrialization & DevSecOpsAutomated platform deployment, CI/CD & GitOps pipelines, access, secrets and application packaging.
AI stack & governanceOpen-source or private models, inference engines, standardized APIs, quotas, authentication and usage observability.
Organization & runAI Center of Excellence, internal team structuring, maintenance, support and continuous evolution.