AI Crisis Assessment

AI Risk & Crisis Assessment Form

AI Risk & Crisis Assessment

Instructions:
Answer each question based on your organization's current state. The points will be assigned as follows:

0 = Not at all
1 = Early stage or informal
2 = Partially implemented or inconsistent
3 = Mostly implemented with good consistency
4 = Fully implemented and optimized across the organization

Your total score and readiness level will be calculated automatically, and your survey inputs and score will be emailed to you.

First

Last

Company

Number of Employees

Email Address

Company URL

1. Governance & Oversight

The leadership structures, policies, and formal processes that guide how AI is managed and controlled within your organization.

Q1: Has your organization set up a formal group or person to manage AI decisions and policies?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q2: Has your organization created and put in place clear rules about how employees can and cannot use AI?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q3: Has your organization created a formal process to review and approve AI tools before using them with customers?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q4: Have departments been given clear steps to follow when they need help making AI-related decisions?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q5: Has your organization created a formal AI plan with clear goals and safety rules?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

2. People & Culture

The human element of AI adoption, including employee knowledge, attitudes, and organizational readiness for AI integration.

Q6: Has your organization provided training to employees about AI basics, risks, and safe use?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q7: Have employees been taught how to check AI results before using or sharing them?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q8: Has your organization created and shared clear guidelines about when AI should and shouldn't be used?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q9: Has your organization set up ways to track how employees feel about using AI?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q10: Has your organization assigned AI helpers or experts to work with different departments?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

3. Security, Privacy & Crisis Preparedness

Your organization's defensive capabilities against AI-related risks, data breaches, and potential crisis situations.

Q11: Has your organization put safeguards in place to stop employees from sharing private information with public AI tools?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q12: Has your organization set up controls to manage who can access AI tools on different devices and in different departments?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q13: Has your organization created plans to handle problems when AI tools make mistakes or cause issues?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q14: Has your organization set up ways to find and control employees using AI tools that haven't been approved?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q15: Has your organization created plans to deal with new AI risks like deep fakes and automated systems?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

4. Infrastructure, Access & Tool Management

The technical and operational foundation that supports AI tool deployment, user access, and resource management.

Q16: Has your organization set up one central system to manage all AI tools and who can use them?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q17: Has your organization created rules about which employees can use which AI tools based on their job and risk level?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q18: Has your organization connected AI tools to your main business systems like customer databases and analytics?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q19: Has your organization set up systems to track and manage how much money is spent on AI tools?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q20: Has your organization created a process to research and choose AI vendors and tools?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

5. Data, Use Cases & Outcomes

The strategic alignment and performance measurement of AI initiatives with business objectives and data quality standards.

Q21: Has your organization focused AI projects on the most important business needs and goals?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q22: Has your organization prepared and organized data to work well with AI tools?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q23: Has your organization created testing processes to make sure AI tools work correctly before using them?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q24: Has your organization set up systems to track how well AI tools are working over time?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Q25: Has your organization created ways to collect feedback and improve AI systems based on user input?

Not at all

Early stage or informal

Partially implemented or inconsistent

Mostly implemented with good consistency

Fully implemented and optimized across the organization

Your Score

📊 Your AI Readiness Level Interpretation

🚨 0–30: At Risk - AI use is reactive, unsafe, or unmanaged. Immediate action needed.
⚠️ 31–60: Foundational - Early stage with ad hoc efforts. Governance, security, and strategy need work.
✅ 61–85: Developing - Solid base with areas for improvement. Can scale with some targeted effort.
🟢 86–100: Mature - AI is governed, integrated, and aligned with business goals. Ready to scale.

Your detailed results will be emailed to you after submission.