This article is part of the OpsCorp method library. To see where your program stands across all nine planning dimensions, take the scorecard.

AI Org Readiness

In my organization, for the AI work I’m closest to…

Rate each statement: 1 = Strongly disagree · 2 = Disagree · 3 = Neutral · 4 = Agree · 5 = Strongly agree

About you

Knowledge

1. We can name the scarce expertise that matters for the work (not everything, a short list).

2. We can free SME time for capture without stealing time from other work and initiatives.

3. We have agreed what “good enough to reuse” means, and who will own that knowledge.

Talent / roles

4. We know the current roles the workflow AI will touch (who does what today).

5. People (HR/Talent) is at the table for guidance on role shifts and how to communicate.

6. Managers in scope can run career conversations when work compresses or shifts.

Governance / value

7. For our use case, we have named who decides when a human and the system disagree.

8. We have named the business outcome we will count as success for this use case.

9. A budget owner has put AI work in scope as a funded line item.

Change management

10. Someone other than the delivery lead owns adoption for this pilot and has time reserved for it.

11. We have a written list of roles or people whose day-to-day work changes when this goes live.

12. We have defined week 1–4 signals for whether people are actually using the new way of working (not only whether the system is up).

Please rate all 12 statements.

Thank you

Your AI Org Readiness responses were received. Here’s a light snapshot of how the four shifts scored (averages of the three items in each section).