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1. Which industry best describes your organization?

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2. Approximately how many employees does your organization have?

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3. Where is your organization primarily located?

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4. What best describes your role?

For each statement below, please rate your organization on a scale of 1–5.

1 = Not in place
2 = Early / limited
3 = Developing
4 = Well established
5 = Advanced / fully embedded

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5. At your organization is there internal access to AI, machine learning, or data science expertise? (Required.)

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6. Does your organization provide structured AI training or upskilling programs for employees? (Required.)

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7. Is AI training mapped to specific business goals, roles, or use cases? (Required.)

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8. Do teams have access to high-quality, well-governed data that supports AI initiatives? (Required.)

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9. Is your data infrastructure — such as storage, pipelines and integrations — scalable, accessible, and integrated across systems? (Required.)

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10. Is data privacy and ownership clearly defined and actively managed? (Required.)

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11. Does your current IT environment support the scalability of AI solutions? (Required.)

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12. Are AI models and tools governed through secure development and risk-management practices? (Required.)

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13. Do you have policies governing the ethical and responsible use of AI, including human oversight and data boundaries? (Required.)

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14. How consistently is AI being used in day-to-day workflows or business processes across your organization? (Required.)

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15. Are AI use cases prioritized based on factors such as ROI, customer or organizational impact, and feasibility? (Required.)

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16. Is AI embedded into your annual planning, budgeting, change management, and performance-tracking processes? (Required.)

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17. What are your organization's top priorities for AI during the next 12 months? Select all that apply.

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18. If you are interested in seeing your individual company results and where you stand as far as AI Readiness, complete this information and we will share that with you:

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