AI Readiness Assessment

Many AI projects stall, and rarely because of the tool. The cause is usually missing basics: unclear goals, messy data or no rules. This short check shows where you stand on those basics.

Answer 12 questions. You get a score out of 100, a level, a breakdown across six areas and the next steps that would help most. It takes about three minutes, and your answers stay on your device.

1. Do you have specific business problems you want AI to help with?
2. How involved are the leaders of the business?
3. Where does the information you would want AI to use live?
4. How much do you trust that data to be accurate and current?
5. How well are the tasks you would improve written down?
6. Have you tried AI on a real task yet?
7. How comfortable is your team with AI tools?
8. Does anyone have time set aside to own AI work?
9. How easily can your main systems connect to other tools?
10. Could you try a new tool safely before rolling it out?
11. Do you have rules for what may be put into AI tools?
12. Is AI output checked before it reaches a customer?

0 of 12 answered

Please note: A simple self-check, not a formal audit or professional advice.

How it works

The questions cover six areas: goals and leadership, data, use cases and processes, people and skills, tools and systems, and risk and rules. Each area has two questions. Each answer is worth from 0 to 3 points, so the top score is 36.

Your total becomes a percent. Under 35% is “Just starting”. From 35% is “Getting ready”. From 60% is “Ready to pilot”. From 80% is “Ready to scale”. The levels are a guide to what to do next, not a grade.

The next steps come from your weakest areas. Any area under 60% is a candidate, and the three lowest are shown. If every area is strong, you will see none, and the advice is to choose your best use cases and measure results.

The score is a simple self-check. It does not look at your systems or data. A real review would. Treat the result as a way to start the conversation inside your business, and answer honestly. A low score is useful because it tells you what to fix first.

Worked example: A typical small business

If you answer the middle options (2 points each) for all 12 questions, you score 24 of 36, which is 67%. That is “Ready to pilot”: the basics are in place, so choose one small project and run it carefully.

If your goals and people score well but your rules score low, the first next step would be a one-page rule on what data may go into AI tools and who checks the output.

Frequently asked questions

Are my answers stored or sent anywhere?

No. The score is worked out in your browser. If you choose to email your results, that is your own email and only goes to the address you send it to.

Who is this for?

Owners and managers of small and mid-sized businesses who are thinking about AI. It also works as a talking point for a team meeting.

What if my score is low?

It is common, and it is useful. It means you know what to fix before spending money. The next steps list shows where to start.

Does it recommend specific AI tools?

No. Tools change quickly, and the right one depends on your problem. The assessment is about being ready, which matters more than which tool you pick.

How often should I retake it?

Every few months, or after you make changes. It is a good way to see progress.

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Content last reviewed 2026-10-13.