AI Readiness Questionnaire

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Strategic Alignment

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1. Does your organization have a dedicated AI strategy that defines specific objectives, key performance indicators (KPIs), and timelines?

Yes, fully detailed

Yes, but lacks specifics

2. How frequently does your executive team discuss AI strategy and its implications for the overall business plan?

Monthly

Quarterly

Annually

Rarely or never

3. What departments or functions in your organization have been identified to leverage AI technologies? (Select all that apply)

Marketing

Sales

Customer Service

Operations

Human Resources

Finance

Other

Other, please identify

4. How would you rate employee awareness of the company's AI strategy across different levels of the organization?

High awareness

Moderate awareness

Low awareness

Data Infrastructure

5. Do you have a comprehensive inventory of data assets that identifies sources, types, quality, and ownership?

Yes, comprehensive and up-to-date

Partially completed

6. How is data governance managed in your organization?

Centralized with a dedicated team

Decentralized with no clear oversight

Ad hoc, with informal processes

7. What types of data quality issues have you encountered? (Select all that apply)

Incomplete data

Duplicate records

Misclassified or erroneous data

Data accessibility issues

Other

Other, please identify

8. Are your data collection methods compliant with relevant laws and regulations (e.g., GDPR, CCPA)?

Yes, fully compliant

Partially compliant

Technological Capabilities

9. What tools or platforms does your organization currently use for data analytics and AI model deployment? (List all applicable)

10. How would you rate the maturity of your existing technology stack in supporting AI workloads?

Highly mature (fully capable and integrated)

Moderately mature (some capabilities)

Immature (limited or no capabilities)

11. Does your organization have access to cloud computing resources that can scale based on demand for AI projects?

Yes, fully scalable

Yes, but limited

12. How does your organization handle data privacy and security in the context of AI applications?

Comprehensive policies and practices in place

Some policies exist, but not comprehensive

No formal policies

Talent and Skills

13. What is the size and composition of your data team? (Select all that apply)

Data scientists

Data engineers

Business analysts

Machine learning engineers

Other

Other members & roles

14. How does your organization assess the effectiveness of its data and AI training programs?

Regular training, assessment, and feedback mechanisms

Informal feedback only

No assessment process

15. How confident are you in your team's ability to independently develop AI solutions?

Very confident

Somewhat confident

Not confident

16. What specific AI skill gaps does your organization currently face? (Select all that apply)

Machine learning model design

Data preprocessing

AI ethics and compliance

Domain-specific knowledge

Other

List other skill gaps

Leadership and Governance

17. What role does your executive team play in overseeing AI initiatives?

Direct involvement in strategic decisions

Occasional discussions in meetings

No involvement

18. Are there established metrics for measuring AI project success?

Yes, clearly defined metrics

Yes, but not clearly defined

19. Does your organization conduct regular audits of AI systems to ensure compliance and ethical use?

Yes, regularly

Occasionally

20. Has your organization developed a risk management framework for AI-related projects?

Yes, fully developed

In development

Change Management

21. How has past technological change been received within your organization?

Strongly welcomed and embraced

Generally positive but with some resistance

Mixed reactions with significant resistance

22. How are employees informed and engaged regarding upcoming AI initiatives?

Regular communications and engagement sessions

Occasional updates

No systematic communication

23. What resources (e.g., workshops, materials) does your organization provide to support employees in adapting to AI technologies?

Comprehensive resources available

Limited resources available

No resources available

Investment and Resources

24. What proportion of your overall technology budget is allocated to AI initiatives?

Greater than 25%

Between 10%-25%

Less than 10%

None

25. How do you evaluate the return on investment (ROI) for AI initiatives?

Detailed metrics and analysis

General assessment

No formal evaluation

26. What long-term investments in AI technology do you foresee for the organization?

Contact Info

First Name

Last Name

Phone

Company Name

Company Website

Email Address

Additional information (Optional)