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AI Readines Scorecard

Is your organization ready to use AI without creating more risk, confusion, or cleanup?

This 15-question scorecard helps nonprofit leaders identify strengths and gaps across AI governance, staff readiness, data protection, testing, and responsible use.

It takes about five minutes. There are no trick questions—and “not yet” is a perfectly useful answer.

Leadership and Governance

1. Leadership ownership

Someone is clearly responsible for guiding our organization’s use of AI.
1. Leadership ownership
A
B
C

2. Board awareness

Our board has discussed how AI could affect our mission, people, reputation, and responsibilities.
2. Board awareness
A
B
C

3. Policies and guardrails

We have written guidelines covering acceptable, restricted, and prohibited uses of AI.
3. Policies and guardrails
A
B
C

People and Adoption

4. Staff confidence

Staff know which AI tools they may use, what information must stay out of them, and where to take questions.
4. Staff confidence
A
B
C

5. Role-specific training

Staff and leadership have received practical AI training suited to their roles and responsibilities.
5. Role-specific training
A
B
C

6. Staff voice

Staff affected by AI adoption can ask questions, raise concerns, and help shape how tools are introduced.
6. Staff voice
A
B
C

Purpose and Risk

7. Use-case clarity

We have identified specific tasks where AI could realistically save time, improve quality, or reduce workload.
7. Use-case clarity
A
B
C

8. Risk levels

We apply stronger safeguards when AI involves sensitive data, important services, employment, or decisions affecting people.
8. Risk levels
A
B
C

9. Human oversight

We know which AI outputs require human review, what reviewers should check, and who can stop or override the tool.
9. Human oversight
A
B
C

Data and Vendors

10. Data safety

We have identified our sensitive donor, client, personnel, financial, and organizational data—and staff know what must never be entered into an unapproved AI tool.
10. Data safety
A
B
C

11. Vendor review

Before approving an AI tool, we review how it handles data, security, privacy, known limitations, and connected applications.
11. Vendor review
A
B
C

Workflows, Testing, and Response

12. Workflow fit

We use AI to improve a complete process rather than simply adding another tool to a broken workflow.
12. Workflow fit
A
B
C

13. Testing before rollout

We test AI-assisted work for accuracy, bias, privacy concerns, and unusual situations before broad use.
13. Testing before rollout
A
B
C

14. Measurement and monitoring

We have a practical way to check whether AI is saving time, maintaining quality, reducing risk, and continuing to work as intended.
14. Measurement and monitoring
A
B
C

15. Incident and continuity planning

We know how to report an AI-related problem, pause the tool, correct harm, and continue important work through a manual process.
15. Incident and continuity planning
A
B
C
Get Your AI Readiness Results

You made it through all 15 questions—already a better AI planning process than “someone bought a subscription and hoped for the best.”

Enter your name and email below to receive:
• Your AI readiness score
• A brief overview of your strengths and priority areas
• Practical next steps for safer, more effective AI adoption

Your personalized results will land in your inbox within 24 hours. I’ll also send the occasional practical AI tip or useful update from All Systems Go Consulting—no hype, no inbox avalanche. You can unsubscribe anytime.

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