AI Readiness Assessment
Answer ten statements about your leadership, data, team, and process, and you get a score out of 20 with a plain readout of what to do next. It all runs in your browser: no email gate, and your answers are never sent anywhere.
AI readiness is whether a company can put AI into real work: data an AI system can reach, people who can judge what it produces, and an owner for the process it would change. Tool licenses do not make a company ready — a subscription for everyone changes nothing on its own. Oleg Sotnikov, a fractional CTO who runs a production platform processing 11B+ tokens a month, built this assessment to score those three things in ten questions. It runs entirely in your browser: no email gate, and none of your answers are stored or sent anywhere.
Score your AI readiness
Four areas, ten statements. Pick the answer that is true today, not the one you are working toward.
Answered 0 / 10
Leadership & strategy
01We have named the specific business problems we want AI to solve, rather than a general goal of using AI more.
02One person in leadership owns AI outcomes and has budget to act on them.
Data & systems
03The data an AI system would need sits in systems we control and can query, not in spreadsheets, inboxes, and people's heads.
04Our core systems have APIs or exports, so a new tool can read and write data without manual copying.
05We know which of our data is confidential or regulated, and where it is allowed to go.
Team & skills
06At least one person can review what an AI system produces and tell a correct answer from a plausible-looking one.
07Our engineers already use AI tools in daily work and could ship a small integration without outside help.
Process & governance
08The workflow we want AI to improve is documented well enough that a new hire could follow it.
09We have a written rule covering what staff may and may not put into public AI tools.
10We measure that workflow today (time, cost, or error rate), so we could tell whether AI improved it.
Answer all ten statements to see your score.
Scored in your browser with JavaScript. Your answers stay on this page. Nothing is sent to a server, and there is no email gate.
Frequently Asked Questions
What does AI readiness mean?
AI readiness is whether a company can run AI in production work rather than in demos. Three things decide it: reachable data, someone who can tell a correct output from a plausible one, and a named owner for the workflow you want to change. Licenses and tool choice are the easy part and rarely the blocker.
What do the score bands mean?
This AI readiness assessment scores twenty points across ten statements. Zero to eight means the foundations need work before any AI tool will stick; nine to fifteen means you can run a focused pilot; sixteen to twenty means your constraint has moved to the operating model. The bands are cut from your own answers, with no benchmark or peer comparison behind them.
Do you collect my answers?
No. The AI readiness assessment is a piece of JavaScript that runs in your browser, and your answers stay there. Nothing is sent to a server, there is no email gate, and closing the tab erases the result.
What is the next step after the assessment?
It depends on where you land. If the foundations are missing, the $5,000 Team & AI Audit maps the gap in five business days and hands you a written plan. If you scored higher, the next step is a two-week proof of concept on one workflow, or a call to work out which workflow it should be.
Get a Second Opinion on Your Score
The assessment tells you where you stand. The Team & AI Audit tells you what to do about it: five business days, a written plan, $5,000 fixed.
At least $50,000/year in identified savings — payroll, cloud, and LLM bills — or the audit is free.
Related reading
Notes on running AI in production: data, cost, and the operating model around it.
