Free tool · about three minutes · no email
AI readiness scorecard
AI projects rarely stall on the model. They stall on data, systems or nobody owning them. This shows you which one would trip you up.
How the scorecard works
Ten questions cover five areas: data foundations, storage and infrastructure, governance and privacy, evaluation and production, and ownership.
Your answers place you in one of three bands: foundations first, ready for a focused pilot, or ready to build for production.
Each area shows where to start, so the gap that would hold a project back is the first thing you see.
Questions about AI readiness
Who is the scorecard for?
Owners and operators of UK businesses weighing up their first AI project. You don’t need a technical team to answer it.
What happens to my answers?
They stay in your browser. The scorecard asks for no email, and your answers live only in the page’s address.
What if I score low?
Most businesses start at foundations first. Closing those gaps is usually weeks of work, not months, and it makes any later AI project cheaper.
Where can I read more about getting data ready?
Our guide to AI data readiness explains what clean, usable data looks like and when RAG or fine-tuning makes sense.
Wondering where AI would pay back for you?
Start with a free chat. We’ll tell you honestly whether AI is worth doing yet, and if it is, which process we’d start with.
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