Move one enterprise AI workflow from decision to operation.
Three ways in: a bounded review, a full build, or an evidence-led vendor decision. Each one names the owner, the data boundary, and the acceptance bar before spend.
Readiness means the responsible team can control the system.
The responsible team verifies sources before use, stops unsafe output, recovers from failure, operates the workflow, and owns the code, runbooks, traces, and improvement path.
Source verification before useUnsafe-output stop and escalationRecovery and rollback procedureNamed operating ownerAcceptance and release gatesCode, runbooks, traces, and improvement ownership
The workflow, not the model, is the product boundary.
Data, models, tools, human review, evaluation, deployment, and handover form one lifecycle. Security, integration, stop conditions, rollback, and ownership are part of the delivery scope, not a later add-on.