scorecard
Free Enterprise AI Readiness Scorecard
Score your organization's readiness to deploy AI in production across four dimensions: data infrastructure, talent and operating model, use-case selection, and security/governance. 12 questions, weighted scoring, and a tiered diagnostic from Not Ready to AI-Native. Built for CTOs, VPs of Engineering, and Heads of AI making the build-vs-wait decision.
Question 1 of 12
How accessible is your data for AI use cases?
Question 2 of 12
What is the state of your unstructured data (docs, tickets, calls, code)?
Question 3 of 12
How do you measure data quality?
Question 4 of 12
Who owns AI initiatives today?
Question 5 of 12
How are AI projects funded and prioritized?
Question 6 of 12
How comfortable is engineering with LLM application patterns?
Question 7 of 12
How well-defined are your top AI use cases?
Question 8 of 12
Have you shipped an AI feature to production with measurable impact?
Question 9 of 12
How do you evaluate model quality?
Question 10 of 12
How is sensitive data protected when sent to LLMs?
Question 11 of 12
Do you have an AI policy and review board?
Question 12 of 12
How do you handle model risk for customer-facing AI?
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Explore Further
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Ideas, checklists, glossaries, and statistics
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Business development and partnership roles defined
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Compensation data by role and city
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About the Author
David Shadrake
David Shadrake works on strategic business development and tech partnerships, with focus areas across AI, fintech, venture capital, growth, sales, SEO, blockchain, and broader tech innovation. Read more of his perspective on partnerships, market dynamics, and emerging technology at davidshadrake.com.