assessment
is your business ready for AI?
Not a technical assessment. This asks whether the business is in a state where AI would actually help, which is the more useful question and the one most tools skip.
Twelve statements, about two minutes. There is no score at the end, nothing is stored unless you decide to get in touch, and the result tells you where AI would not help as well as where it would.
Twelve statements. No score at the end.
Answer how often each one is true. There is no right answer and nothing is stored unless you decide to get in touch.
0 of 12 answered
what this will not tell you.
Three things, said here rather than discovered afterwards.
A score.
There is no number and no mark out of anything. A score invites a league table and false precision, and neither would tell you what to do on Monday.
A diagnosis.
Twelve statements cannot diagnose a business. It's a signal about where to look, which is a genuinely different thing and worth having.
That you need AI.
The result names where AI would not help as well as where it would. On several of these areas the honest answer is that the problem is not a technology problem.
the six areas it looks at.
- Demand
- You cannot say where your best customers actually come from, and when you need more enquiries there is no obvious lever. That is a measurement problem before it is a marketing problem, and spending more on the second one rarely fixes the first.
- Conversion
- Enquiries arrive and nobody can say how many turn into work, or why the rest did not. Follow-up depends on somebody remembering, which means it depends on how busy that somebody was.
- Margin
- You cannot say which products, services or customers actually make money, and pricing gets looked at when something goes wrong rather than on a schedule. Growth on those terms makes the problem bigger, not smaller.
- Operations
- The same information gets typed into more than one place, and work stalls waiting on one particular person. Nobody has time to fix the thing that would give them time, which is how it stays.
- Experience
- You hear about problems after people have gone rather than before, and the standard depends on who happens to be working. Both are invisible until you look for them, which is why they persist.
- Scale
- Half as much work again would break something, and the numbers are not current enough to decide on this week. What got the business here is now the thing holding it.
a signal, not a diagnosis.
Whatever it says, the useful next step is the same: an hour on the phone, free, where somebody asks the follow-up questions twelve statements cannot.
