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AI-FOR-OPERATIONS5 MIN READ

Pilot AI With PDCA

Design AI pilots as PDCA loops with explicit hypotheses, measures, and adoption decisions.

PDCA makes AI pilots learn before they spread. Plan the hypothesis Write what the AI should improve and what must not get worse. Include the workflow boundary and the people who can stop the test. Do the smallest real test Run in a live but bounded context. Synthetic demos prove possibility; real pilots reveal friction, exceptions, and review load. Check and Act Compare outcomes to the decision rules. Then adopt, adapt, or abandon. The point is not to protect the idea; it is to protect the operation.

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