AI maturity assessment
How mature is your team's AI use?
Fourteen questions, about three minutes, no sign-up. You get a score out of 100, your maturity level, the two areas to fix first — and a costed stack built around that level.
Question 1 of 14
Is there a specific outcome you want AI to improve?
Hours saved on a named task counts. "Keep up with AI" does not.
AI maturity questions, answered
What is an AI maturity assessment?
It is a structured check of how ready a team is to get value from AI tools, across direction and ownership, skills, data rules, tools and spending, and ways of working. The score tells you which of those to fix first, and which tools you are ready to pay for.
How is the score calculated?
Fourteen questions, each scored 0 to 3, grouped into five areas. The total is converted to a percentage and mapped to one of four levels: Exploring, Piloting, Scaling or Embedded. The two lowest-scoring areas become your priorities.
How long does it take?
About three minutes. Nothing is required beyond honest answers about how your team works today — there is no sign-up and the result stays in your browser.
What are the AI maturity levels?
Exploring means curiosity without rules or owners. Piloting means informal value with shadow-usage risk. Scaling means the basics are in place but cost and consistency slip. Embedded means AI is part of how work gets done, with ownership and measurement behind it.
How does the result change the tools you recommend?
Your level feeds straight into the adoption advisor. A lower level gets a smaller pilot group, a core assistant before specialist tools, and beginner training first. A higher level gets a wider rollout, automation and agent tools, and advanced courses for tool owners.