Enterprise AI is a different problem from consumer AI, and the constraints that decide it rarely appear in product marketing.
This category covers the platform layer. Private and single-tenant deployment, data residency requirements, whether prompts and outputs are retained or used for training, SSO and access control, audit logging, and the compliance paperwork that has to exist before anything reaches production.
Procurement is its own thread type. Enterprise pricing is negotiated rather than listed, contract terms differ sharply between vendors, and the migration cost of a platform decision is high enough that lock-in deserves explicit attention up front.
Members here also compare the major cloud AI offerings against dedicated platforms and against self-hosted open models, which is a decision with very different answers depending on your scale and your regulator.
See AI in Business for adoption and Privacy & Data for the data handling side.
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