AI Readiness Scorecard TM (Free Tier)

Welcome to the AI Readiness Scorecard (TM).

Answer 12 quick questions to discover where your organization stands today.

We’ll instantly score your answers and send you a personalized readiness insight after you finish. Enter your best email to receive it.

What's your best email to receive your score?

What team, department, or scenario is this assessment for?

- e.g., "HR," "Marketing Team Q3," or "Sustainability Pilot"

Section 1: Data Readiness
Assess how your organization manages, governs, and accesses its core data systems.

Q1A. How would you describe the quality and accessibility of your organization's data?

A

A. We have little visibility into our data sources and significant gaps in data quality or completeness.

B

B. We've mapped key data sources and have basic quality controls, but silos and inconsistencies remain.

C

C. We have enterprise-wide visibility, high-quality governed data, and real-time access across key systems.

Q1B. Is your current technology infrastructure capable of supporting AI applications?

A

A. Our infrastructure is not designed for AI or large-scale analytics workloads.

B

B. We have foundational systems but lack scalability or integration for AI deployment.

C

C. Our infrastructure supports scalable AI (e.g., cloud/hybrid, pipelines, processing power).

Q1C. How mature is your data governance structure?

A

A. We have no formal data governance; roles and policies are unclear.

B

B. Governance exists in pockets; policy enforcement is inconsistent.

C

C. We have clear data ownership, compliance standards, and lifecycle management protocols.

Q1D. How would you describe your organization’s data culture and skill levels?

A

A. Most teams don’t use data consistently in decision-making.

B

B. Some teams embrace data-driven practices; pockets of skill exist.

C

C. We have a strong culture of data literacy and structured upskilling programs for AI-readiness.

Section 2: Budget Capability
Reflect on how well your organization funds and prioritizes AI-related initiatives.

Q2A. Does your organization have a clear investment plan for AI?

A

A. No dedicated AI investment planning has occurred.

B

B. AI is included in some business cases or innovation pilots.

C

C. We have a long-range AI investment plan aligned to business strategy.

Q2B. Can your organization financially sustain an AI transformation initiative?

A

A. Financial constraints limit our ability to invest in AI.

B

B. Budget is available for pilots, but larger-scale investments are challenging.

C

C. We have the financial stability and governance to scale AI as needed.

Q2C. Are AI initiatives measured for business impact or ROI?

A

A. We don’t measure AI ROI or define value clearly.

B

B. Some teams track impact, but methods are inconsistent.

C

C. We use clear, cross-functional metrics to assess AI ROI and enterprise value.

Q2D. How structured is your AI budget governance process?

A

A. AI investments are ad hoc and lack visibility.

B

B. Budget planning for AI is emerging, with executive interest.

C

C. AI budgets are tracked, governed, and reviewed at the executive level.

Section 3: Strategic Alignment
Explore the extent to which AI efforts are embedded in enterprise strategy and leadership accountability.

Q3A. How integrated is AI with your core business strategy?

A

A. AI is treated as an IT or innovation experiment, not a business imperative.

B

B. Some leaders champion AI as a value lever; alignment is improving.

C

C. AI is embedded in our business strategy, operations, and transformation roadmap.

Q3B. Who owns AI accountability in your organization?

A

A. There is no clear AI leadership or accountability at the executive level.

B

B. AI leadership exists but lacks decision-making power or enterprise scope.

C

C. A designated executive or team owns AI strategy, delivery, and outcomes.

Q3C. How coordinated are AI efforts across departments?

A

A. Departments operate in silos, and AI efforts are isolated.

B

B. Collaboration is improving, but integration remains uneven.

C

C. We have enterprise-level coordination across IT, operations, finance, and strategy.

Q3D. How prepared is your organization for AI-related risk and compliance?

A

A. We haven’t considered AI-specific risks (e.g., data bias, ethical use, IP).

B

B. Some risk assessments are underway, but frameworks are not yet formalized.

C

C. We have active AI risk and compliance oversight, including legal and ethical considerations.

Assessment Complete, Thank You.

✅ You’ve completed the AI Readiness Assessment

Your responses are now being reviewed to generate personalized insights.
You’ll receive your custom results directly at the email you provided.

Stay connected...

Stay connected and keep building your AI leadership lens:

- Follow me on LinkedIn

- Explore the LinkedIn series: "Ready or Not: The Cost of Not Being AI-Ready"

- Watch for my upcoming newsletter, where I share strategies on AI adoption, operational transformation, and executive readiness.