Retiring Enterprise AI Safely: Decommissioning Models, Agents, Data, and Endpoints
TL;DR Enterprise AI decommissioning should remove a service’s ability to accept work, access information, execute actions, or return through deployment and recovery automation. Deleting the inference endpoint addresses only part of that objective. Build retirement around an explicit service boundary, named owners, outstanding-work reconciliation, identity revocation, model and data disposition, and verification at the systems … Explore: Retiring Enterprise AI Safely: Decommissioning Models, Agents, Data,…