Key takeaways
- Using AI tools and being ready for AI are two different things — most small businesses have the first without the second.
- This 20-question scorecard covers four areas: rules and data safety, tool use, training, and measurement — answer it right in your browser, nothing is sent anywhere.
- Your score sorts into one of four bands, each with a plain next step instead of a vague grade.
- 76% of small businesses already use AI, but only 14% say it's fully integrated into core operations — that gap is what this scorecard measures.
- A low score isn't a failure. It's a map of exactly which of the five Kickstart phases — assess, set rules, train, automate, scale — to start with.
Most small business owners can answer "are we using AI?" in about two seconds. Someone in the office is using a chatbot to draft emails, someone else has an AI note-taker on their calls, and the accounting software added an AI feature nobody remembers turning on. Adoption isn't the hard question anymore — readiness is. Readiness means you know which tools are in use, you have written rules for what never goes into them, your team was actually trained instead of left to figure it out, and you can point to what AI is saving you in hours or money. Most companies are missing at least two of those four.
Why AI readiness matters more than AI adoption
The gap between "using AI" and "ready for AI" shows up clearly in the numbers. According to Goldman Sachs' 10,000 Small Businesses survey, 76% of small businesses report currently using AI — but only 14% say it's fully integrated into their core operations. The other 62% are somewhere in between: a chatbot here, an AI feature there, no real plan connecting any of it. That same survey found 73% of owners say they'd benefit from more training and implementation resources, which lines up with what a lot of small business leaders already sense — the tools showed up faster than the plan for using them safely and well.
That gap is exactly what this scorecard measures. It's not asking whether your team touches AI — almost everyone's does. It's asking whether that use is governed, trained, and actually paying off, or whether it's scattered across a dozen browser tabs with no rules attached. Answer honestly; the scorecard is more useful as an accurate low score than a flattering high one.
Answer for how your business actually operates today, not how you'd like it to operate. Every answer runs in your browser — nothing is transmitted, logged, or stored anywhere.
The 20-question scorecard
Pick the answer that best matches your business for each question, then scroll down and press "Calculate my score." Each answer is worth 0 to 3 points, for a maximum of 60.
Nothing you enter above leaves your browser. There's no server call, no tracking pixel tied to your answers, and no email capture — the scorecard is just arithmetic running in JavaScript on the page you're already looking at.
What your score means
| Score | Band | What it usually means |
|---|---|---|
| 0–15 | Not started | AI is in use somewhere in the business, but with no written rules, no approved tools list, and no training behind it. |
| 16–30 | Early | Pieces exist — maybe a rule, maybe a go-to person — but they haven't come together into something consistent. |
| 31–45 | Developing | The foundation is real: rules exist and people mostly follow them. Training and measurement are the next gaps to close. |
| 46–60 | AI-ready | Rules, training, and at least basic measurement are all in place. The business is set up to keep scaling AI use safely. |
Reading your results by category
The 20 questions split evenly into four categories of five questions each, and it's worth looking at your category totals separately from your overall score. A business can land in the "Developing" band overall while scoring a 2 out of 15 on data safety — and that's the number that actually predicts your next incident, not the total.
- Rules & data safety (questions 1–5): A low score here is the highest-priority fix, because it's the category most likely to produce an actual incident — a customer record pasted somewhere it shouldn't be.
- Tool use (questions 6–10): A low score means AI use is happening without visibility. You likely don't know the full list of tools touching company data.
- Training (questions 11–15): A low score means people are guessing. Even good rules don't help if nobody was walked through them.
- Measurement (questions 16–20): A low score here isn't urgent the way data safety is, but it means every future AI decision is being made on instinct instead of a number you can point to.
If you only fix one category this quarter, fix rules and data safety first. It's the category where a low score turns into a real incident the fastest.
What to do with a low score
A low score isn't a verdict on the business — it's a starting point that tells you exactly where to spend the next few weeks. Thryv's 2026 survey of small business owners found 70% say they need more, or significantly more, training to use AI productively, which suggests most companies scoring in the "early" band are in good company, not falling behind some standard everyone else has already hit.
Work the bands in order rather than jumping to the flashiest fix. A business scoring low on rules and training that jumps straight to automation is building on a foundation that isn't there yet — and it shows up later as a data incident or a tool nobody can explain.
| Your band | Do this next |
|---|---|
| Not started | Write a one-page acceptable use policy and an approved tools list. Nothing else matters until these exist. |
| Early | Pick your lowest category score and close it. For most companies, that's training. |
| Developing | Start measuring one AI use case with real before/after numbers, and pick a role to train more deeply. |
| AI-ready | Look for the next repetitive task to automate, and set a review date so the rules don't go stale. |
This scorecard mirrors the first phase of a broader path — assess, set rules, train, automate, scale — that most small businesses move through in roughly that order. If you'd rather not build the next steps yourself, that's the exact sequence a Kickstart engagement walks through with your team, starting from wherever your score puts you.
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FAQ
Is this AI readiness assessment actually free?
Yes. It's a self-scored questionnaire that runs in your browser — no email required, no data collected, no follow-up call.
Where does my score go — is it saved anywhere?
Nowhere. The scoring happens entirely in JavaScript on the page you're viewing. Nothing is sent to a server, stored, or tracked.
What if different people on our team would answer differently?
That's useful information on its own. Have two or three people take it separately and compare — a big gap between an owner's answers and a front-line employee's answers usually points to a training gap.
We scored low. Does that mean we're behind?
It means you have clear next steps, not that you're behind. Most small businesses score in the 'early' band — 73% told Goldman Sachs they'd benefit from more training and implementation support, which is exactly what a low score is pointing you toward.
How often should we retake it?
Every six months, or after a major change — a new AI tool, a policy rewrite, or a new hire wave. Readiness shifts faster than most people expect.
Sources
This guide is general information, not legal advice. Have a qualified attorney review any policy before you adopt it.