AI readiness assessment
Twelve questions about your data, processes and governance. You get a score, an honest read on where you stand, and the specific things worth fixing first. Nothing is stored and no email is required.
Runs entirely in your browser — nothing is sent to us
How this is scored
Twelve questions across five categories, three points each, normalised to 100. Data and governance carry the most questions because they are where projects most often fail — not because they are the most interesting.
The scoring is deliberately unforgiving at the low end. Telling someone they are ready when their data sits in a system with no API is how AI projects reach month nine with a demo and nothing else.
It is a heuristic, not a diagnosis. A low score does not mean AI cannot work for you — it usually means something unglamorous needs fixing first, and that fixing it is cheaper than discovering it later.
Want the full version?
The paid readiness audit does this properly — interviews with the people doing the work, a hands-on look at your data and systems, and a written report with costed options that you keep either way.
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