AI readiness assessment: how to use the results
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
Treat the output as a shortlist of conversations rather than a verdict. The most useful thing it produces is usually the question you had not thought to ask, or the gap between what two people in the business assumed was already being tracked.
Take the single highest-ranked item and test whether the business can describe what a good outcome would look like and who would own it. If it cannot, the honest next step is to map that workflow properly before committing to build anything.
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.