Time~3–5 minutes
Questions16 across 4 pillars
OutputInstant score + report
CostFree
Progress 0 / 16 answered

Pillar 01 Strategy & Leadership Clarity

1. Leadership has discussed how AI may affect workflows, productivity, or service quality in our environment.
2. There is at least a basic understanding of why AI would be used here beyond general curiosity.
3. Someone is clearly responsible for evaluating AI opportunities or next steps.
4. AI discussion here is tied to outcomes, workflows, or risks rather than hype.

Pillar 02 Governance & Risk Awareness

5. People generally understand what data should never be entered into public AI tools.
6. AI use is discussed with at least some awareness of policy, compliance, or reputational risk.
7. Important AI outputs would be reviewed before they are acted on or shared broadly.
8. There is at least a basic sense of what "safe experimentation" with AI looks like here.

Pillar 03 Workflow Integration

9. We can identify at least one low-risk workflow where AI could improve speed, quality, or consistency.
10. People here could describe at least one current task that AI could meaningfully assist without major risk.
11. There is at least some awareness of how AI tool outputs should be reviewed before they affect real work.
12. If we piloted AI in one area today, we could define what success looks like in practical terms.

Pillar 04 Capability & Skill Development

13. Most people here could use a basic AI tool with at least some practical confidence.
14. There is some shared understanding of what AI is — and is not — good at in a workplace context.
15. People here feel comfortable asking questions about AI without fear of looking uninformed.
16. If a structured AI skill development path existed for our team, there would be genuine interest in using it.

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