AI Readiness Scorecard

Do you have a documented AI strategy with clear business outcomes?

Is there executive sponsorship (CEO/CHRO) for AI initiatives?

Have you identified the top 3 AI use cases with highest ROI potential?

Is AI part of your 3-year strategic plan?

Do you have a budget allocated specifically for AI pilots and production?

Is your company data structured, labeled, and accessible?

Do you have a data governance policy in place?

Are there clear data ownership and quality standards?

Can data teams self-serve analytics without engineering bottlenecks?

Is customer/operational data integrated across systems?

Is your cloud infrastructure scalable for AI workloads?

Do you have MLOps or data science tooling in place?

Is your team proficient in Python, modern ML frameworks, and APIs?

Do you have integration capabilities for third-party AI services?

Is there a process for evaluating AI vendor solutions?

Do you have AI/ML talent or a plan to hire?

Is there cross-functional buy-in (not just IT)?

Is your organization open to iterative, experimental approaches?

Are there clear change management and communication plans?

Is there executive patience for 6–12 month AI ROI timelines?

Do you have an AI ethics or responsible AI policy?

Is there a process for evaluating AI vendor data privacy compliance?

Are there clear accountability structures for AI decisions?

Do you have a risk framework covering AI failure modes?

Is there a process for handling AI-related incidents or bias?