Is my business ready for AI?

The usual checklist

Most AI readiness checklists are about technology. Do you have the right subscriptions? Is your information stored somewhere digital? Does your team have the skills? Is there a budget?

Those questions matter, but most small businesses already pass them. The tools are cheap and easy to get, and plenty of your team are probably using them already. If that were all readiness meant, almost everyone would be ready, and AI would be going well almost everywhere.

The question the checklist misses

AI works from what it's given. So the question that decides how well it works for you is a simple one: if the AI needed to know how your business actually runs, where would it find out?

In most small businesses, the honest answer is "from people". The pricing exceptions, the supplier who always needs chasing, the customers who need careful handling, why things are done the way they are. None of it was written down, because it never needed to be. Someone could always be asked. That gap has a name, context debt, and it's the main thing that separates a business that's ready from one that isn't.

Five questions to ask yourself

1. If your most experienced person left tomorrow with no handover, how much of what they know could anyone else find?
2. If you asked two people the same question about how you do something, would you get the same answer?
3. When the way you do something changes, does anything written down change with it?
4. Who keeps track of the exceptions: the special cases, one-off approvals and workarounds?
5. Has someone already got something wrong because the information they needed was missing or out of date?

What your answers mean

If you answered with confidence, you're in better shape than most, and AI should pick up your written knowledge and use it well.

If some of them made you wince, you're not unusual. It doesn't mean AI won't work for you. It means AI will fill those gaps with plausible guesses, confidently, until someone fills them properly. That's usually the real reason two teams get different results from the same AI.

Not ready doesn't mean wait

Waiting doesn't close the gap. The knowledge doesn't write itself down, and your team is probably using AI anyway. What you can do is start small and on purpose: one workflow, with its missing knowledge written down first.

Be wary of a trial that only uses your best examples. A pilot run on hand-picked material will make you look readier than you are, and the rollout won't match it.

Where to start

The Context Maturity Diagnostic turns the questions above into nine, takes a few minutes, and shows where your gaps are most likely to be.

Then pick one job that people do every week and that AI could plausibly help with, and find out what someone would need to know to do it well. If you'd rather work that out with someone who's done it before, that's what the audit is for.