AI readiness assessment for manufacturing

12 questions to ask before you fund an AI pilot

Most manufacturing AI pilots do not fail on technology. They fail because two plants define on-time differently and nobody noticed until the model started answering. This is the checklist that surfaces it, before the money moves.

Questions you can ask out loud

Each one is phrased so a COO can walk into a room and ask it. No vocabulary you have to learn first.

A score, not a sales pitch

You score yourself. A low score is not a failing grade. It is a scope.

What a bad answer means

Every question carries a short note on what happens downstream when the answer is vague. That is usually the part people photograph.

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Get the Definition Audit

Twelve questions, a scoring key, and a note on what a bad answer means. Tell us where to send it.

Four of the twelve

  1. 01Can two people in different functions calculate on-time delivery and get the same number?
  2. 02Who owns the definition of scrap? Name them.
  3. 03When a metric changes, who is notified?
  4. 04Does your ERP data get reconciled to anything, or is it the source of truth by default?

If you already know the answer to all four, you probably do not need us yet. If you had to guess on any of them, the other eight are worth reading.