AI Readiness Assessment

1.1. Does your organization have a designated executive champion for AI/automation initiatives?

1.2. How clearly defined are the business problems you want AI to solve?

1.3. Is there budget specifically allocated for AI/automation initiatives?

1.4. How has leadership communicated about AI to the organization?

1.5. How will you measure the success of AI initiatives?

2.1. Where is your critical business data primarily stored?(Select all that apply)

2.2. How would you rate the quality of your core business data?

2.3. How easily can your team access data for analysis or reporting?

2.4. How much historical data do you have access to for your core business processes?

2.5. Is your data documented (field definitions, data dictionaries)?

3.1. What best describes your organization's use of cloud services?

3.2. How well do your software systems communicate with each other?

3.3. Do your core business systems offer API access for automation?

3.4. How would you describe your organization's cybersecurity practices?

3.5. How quickly does your organization typically adopt new software tools?

4.1. Does anyone on your team have data analysis or analytics experience?

4.2. How familiar is your team with AI tools like ChatGPT, Claude, or Copilot?

4.3. How is IT managed at your organization?

4.4. How does your organization approach learning new skills and tools?

4.5. How does your team typically respond to new processes or tools?

5.1. Are your core business processes documented (SOPs, workflows)?

5.2. What percentage of your team's time is spent on manual, repetitive tasks?

5.3. Do you measure the efficiency of your key processes?

5.4. Has your organization implemented any automation before?(Select all that apply)

5.5. Are there clear owners for your key business processes?

6.1. How aware is your organization of AI-related regulations?

6.2. How does your organization handle customer/employee data privacy?

6.3. How do you evaluate and select new technology vendors?

6.4. Does your organization have experience managing significant changes?

6.5. How open is leadership to piloting new technologies?