The assessment

Score the operating 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 has a useful 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 that useful AI can survive Monday morning.

The assessment covers work selection, approved tools, data boundaries, context, human review, shared workflows, practical training, judgment, measurement, and internal ownership. It does not measure enthusiasm, tool count, or how impressive a demonstration looks.

Use the result as a conversation starter. Ask one employee from leadership, operations, sales, and customer service to score the company independently. The gaps between answers are often more useful than the average.

TURN THE SCORE INTO WORK

Bring the lowest-scoring responsibility.

Prime Mind AI can help your team choose a safe first workflow, train the people involved, and measure whether the method actually holds up.