The AI Readiness Self-Check
About this resource
Organizations rarely discover they were unready for AI until the money is spent and the usage has flattened. This free AI readiness assessment puts a number on it first. Ten statements, each scored zero to three, covering the four things that actually determine whether adoption holds: whether people have explicit permission, whether they have real capability, whether any workflow has changed, and whether anyone owns the governance.
Total your score out of thirty and read it against four result bands, each with a plain description of where you stand and what the next move is. It takes about five minutes, it works on the honest answer rather than the flattering one, and it is deliberately built so that a leadership team and a frontline team can each complete it separately. The gap between those two scores is usually more informative than either number on its own.
Ten statements, one score out of thirty, four result bands. Short enough that a leadership team completes it in a single meeting, specific enough that the result points at something.
How to use it
Score it honestly, then have three or four frontline staff score it independently. A leadership score of twenty-four against a staff score of twelve tells you more about your position than either number does alone, and it tells you which conversation to have first. Use the result to choose where to spend, not to grade yourself.
Inside the download
Ten statements scored zero to three, totalled out of thirty, with four result bands.
The statements are grouped so a low total points at a specific gap rather than a general problem.
Whether anyone has actually said out loud that using AI on real work is expected.
Whether AI appears in a written procedure or only in individual habits.
Common questions
Assess four things rather than one: whether employees have explicit permission to use AI on real work, whether they have practical capability rather than awareness, whether any workflow has actually been redesigned, and whether a named person owns governance and measurement. A readiness assessment that only measures enthusiasm or tool access will overstate how ready an organization is.
A low score usually means permission and capability are missing rather than that staff are resistant. The most common pattern is an organization that has purchased tools and run a training session without changing anything about how the work gets done, which produces awareness without adoption.
Yes. Leadership consistently scores higher than frontline staff on permission and capability, because leadership knows what was intended and staff report what was experienced. The gap between the two scores is the most useful output of the exercise.
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More from the resource library, chosen because they pair well with this one.
The five stages every organization moves through, the barrier that defines each one, and what happens when a stage gets skipped.
A structured guide to clarify readiness, goals, and risks before any AI investment is committed.
A quarterly test of whether governance exists in practice, written as observable conditions.
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