The assessment

Score the work habit, not the hype.

1. Can the team name one business responsibility where AI is expected to help?
2. Are approved AI tools and prohibited uses written down?
3. Do employees know what company or customer information may be shared?
4. Can employees provide useful context instead of relying on one clever prompt?
5. Does each useful workflow define what a person must review?
6. Are useful AI methods shared beyond the person who created them?
7. Has the team practiced with real work instead of watching demonstrations?
8. Can employees tell when AI is the wrong tool for the task?
9. Does the company measure whether the workflow is actually helping?
10. Can the team improve the workflow without depending on an outside consultant?
Three practical bands

Every score gives you a next step.

10 to 16

Build the foundation.

Choose one responsibility, define approved information, and add a visible human review step.

17 to 23

Make it repeatable.

Turn good individual experiments into role-specific workflows the team can use and improve.

24 to 30

Scale from proof.

Rank deeper integrations and automation by value, feasibility, risk, and adoption.

Any score

Keep the people responsible.

Important facts, exceptions, relationships, approvals, and final accountability stay with authorized people.

What this measures

Ten signs your AI work can last.

The score checks your work, safe tools, data rules, facts, human checks, shared steps, training, choices, results, and owners. It does not score hype or how many tools you buy.

Use the score to start a talk. Ask one person from each main team to take it alone. A big gap in answers may teach you more than the average.

TURN THE SCORE INTO WORK

Bring the task with the lowest score.

We can help you pick a safe first workflow, train the people, and test if the new steps hold up.