AI readiness framework, explained
Owners get a product tour when they asked for a plan. The tour can wait. The score is about the work. Can the facts, the steps, the people, and the decision carry a tool?
NIST uses Govern, Map, Measure, and Manage for risk. This framework uses four groups an owner can see. We call each one absent, partial, in place, or running. Those words are anchors. They are not a percentage. If you cannot point at the thing, you do not get the stronger word.
What are the four groups?
Data is the record a job needs. Process is the steps, written down. People do the work and check it. The decision is who says yes or no. A framework that flatters all four while the facts sit in an inbox is scoring a wish.
What does the Readiness Check add?
The Readiness Check asks about the same four groups. It gives you next steps for your business. It does not certify a firm. Read the result as a shape, then go back to the words.
Questions
What is an AI readiness framework in simple terms?
It is a way to judge the business before you judge a tool. The groups are data, process, people, and the decision.
Why use words instead of a percentage?
A percentage you did not measure is a mood with a percent sign. Absent, partial, in place, and running are words you can point at.
Is the Readiness Check the framework?
No. The framework is the four groups and the words. The Readiness Check asks about those groups. It gives you next steps for your business.
Where we use this term
Sources
- AI Risk Management Framework. NIST. .
Definition checked against these sources and our own pages on .