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Sending every AI output to a person creates delay without guaranteeing careful review, while sending none can hide costly errors. A better design routes cases according to both uncertainty and the consequence of a wrong decision. This human-in-the-loop AI design can define those boundaries.

The ...

AI readiness starts with a workflow, not a model shortlist. The candidate process should have accessible inputs, a defined owner and an observable result. If nobody can explain what happens after a wrong output, automation is premature.

The service outline at https://ai-software-development.net ...