AI readiness assessment: how it works
This assesses the conditions around a possible AI project rather than the technology itself: whether your records are retrievable, whether processes are written down, whether decisions have owners, and whether anyone has time to run something new. Those factors decide whether adoption holds.
( The Detail )
What this tool tells you
A weak result means the groundwork comes first, not that AI is unsuitable for you. It deliberately does not tell you which tool to buy, what it will cost, or how long a build takes. It is a read on your starting position, and it cannot see parts of the operation you did not describe honestly.
Using it well
The mechanics matter less than the reasoning behind them. Each question is chosen because the answer changes the recommendation, not because it pads out a score. Where an answer is uncertain, the tool is designed to say so rather than average the uncertainty away into a confident-looking number.
Nothing here replaces a conversation about your specific operation. The value is that it puts the same structured questions to every business, which makes the gaps visible quickly and gives a shared starting point for a more detailed discussion.
How to approach it
Begin with the decision rather than the tool. Name the recurring judgement this affects, the information it depends on, and the person accountable for acting on the result. That framing keeps the first build small enough to inspect and useful enough to matter.
Keep a human review point in the loop until the quality and the failure modes are understood. A system that shows its working - what it drew on, where it is uncertain, and what it deliberately left alone - is one a business can keep running after the initial build.
( Next Step )
Start small enough to review, but on a workflow important enough to show whether a better system is worth building.