In 12–16 weeks: one priority process mapped from the floor, redesigned from the outcome backwards, protected by human-in-the-loop controls your risk team validates—and proven in a controlled pilot measured against a finance-validated baseline.

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The most common AI outcome in the enterprise: technical success, financial silence. The reason is rarely the model—it's that AI was added to an unchanged process, automating one step in a workflow still full of rework, hand-offs, and exceptions.

 

Digitised waste is still waste, now with an inference bill attached. We redesign the river, not the raft: eliminate before automating, decide step by step what's machine and what stays human, and run the redesigned flow on real work.

 

You end with a scale/no-scale evidence pack—and the honest discipline to accept either answer.