AI Readiness Assessment for Enterprises
Score your organization across five readiness dimensions — strategy, data, people, governance, and infrastructure — see where you sit on the AI adoption curve, and get a personalized roadmap.
Start Free AssessmentWhat You'll Discover
Your AI readiness score across five dimensions: strategy, data, people, governance, and infrastructure
Where you sit on the AI adoption curve — Explorer, Pilot, Operational, or Transformative
The AI adoption challenges most likely to stall your next initiative — and how to get ahead of them
A personalized AI adoption roadmap with prioritized next steps and a downloadable report
How It Works
Answer 14 Questions
Quick multiple-choice questions about your current AI security and deployment practices.
Get Your Score
Receive a detailed breakdown across AI Strategy & Use Cases, Data Readiness, People & Skills, Governance & Security, and Infrastructure.
Download Your Report
Get a personalized PDF with recommendations tailored to your organization.
What Is an AI Readiness Assessment?
An AI readiness assessment is a structured evaluation of how prepared your organization is to adopt AI safely and at scale. This free assessment scores you across five readiness dimensions — AI strategy & use cases, data readiness, people & skills, governance & security, and infrastructure — in about three minutes, then returns a personalized AI adoption roadmap you can share with stakeholders. Prefer to score yourself manually first? The companion guide on how to assess AI readiness walks through a self-scoring rubric. If the results surface gaps you want expert help closing, see what an AI consulting engagement covers and costs.
The AI Adoption Framework: Five Dimensions That Decide Success
Most AI initiatives do not stall on model quality — they stall on organizational readiness. A durable AI adoption framework treats readiness as five reinforcing dimensions. Strategy & use cases keeps you funding measurable business outcomes instead of experiments. Data readiness is the number-one driver of trustworthy output: fragmented, duplicated, ungoverned content is what makes AI hallucinate. People & skills is where adoption is won or lost — tools without role-based training produce low usage and high risk. Governance & security is what lets your security team say "yes, here is the sanctioned way," closing the door on shadow AI. And infrastructure decides where AI can actually run — cloud, on-prem, or fully air-gapped for regulated data. This assessment scores all five so you can see which dimension is holding the others back.
Where You Sit on the AI Adoption Curve
Your score places you on the AI adoption curve at one of four stages. Explorer — evaluating AI with no production use yet; the priority is a prioritized use-case backlog and executive sponsorship. Pilot — running one or more pilots; the priority is data readiness and a repeatable way to move pilots into production. Operational — AI live in at least one function; the priority is governance, enablement, and closing the weakest dimension before you scale. Transformative — AI scaled across multiple functions; the priority is sustaining trust, lineage, and controls as usage compounds. Knowing your stage tells you what to do next — not just where you stand.
The AI Adoption Challenges Most Likely to Stall You
Across readiness assessments, the same AI adoption challenges recur: no agreed strategy or prioritized use cases; data that is siloed, duplicated, and ungoverned; a workforce skills gap and unclear ownership of change; security, compliance, and data-sovereignty concerns that block sensitive workloads from public AI tools; and unclear ROI on the money already spent. These are organizational and architectural barriers, not model limitations — which is exactly why a readiness assessment (rather than another proof-of-concept) is the fastest way to find and remove them.
What the Data Says About Enterprise AI Readiness
Adoption is now broad, but value capture is still narrow. McKinsey’s November 2025 State of AI survey found 88% of organizations regularly use AI in at least one business function — yet only 6% qualify as AI "high performers" attributing more than 5% of EBIT to AI. Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027, usually because of escalating cost, unclear business value, or inadequate risk controls — the readiness gaps this assessment is built to surface. And a Gartner survey of security leaders found 69% have evidence or suspect employees are feeding sensitive data into public generative AI tools, the exact governance exposure a sanctioned, secure deployment closes.
Ready to Assess Your AI Readiness?
Get an evidence-based readiness score in about 3 minutes — with a downloadable report you can share with your team.
Start Free AssessmentFrequently Asked Questions
What is AI readiness assessment?
An AI readiness assessment is a structured evaluation of how prepared your organization is to adopt AI safely and at scale. It scores you across strategy and use cases, data readiness, people and skills, governance and security, and infrastructure, and returns a prioritized roadmap for closing your biggest gaps.
What are the 5 stages of AI readiness?
AI readiness is best measured across five dimensions: (1) AI strategy and use cases, (2) data readiness, (3) people and skills, (4) governance and security, and (5) infrastructure. Your progress across these five determines where you land on the AI adoption curve — Explorer, Pilot, Operational, or Transformative. This assessment scores all five out of 100 so you can see which dimension is holding the others back.
How to pass an AI assessment?
An AI readiness assessment is diagnostic, not pass-or-fail. To score well, strengthen all five readiness dimensions: document a prioritized AI strategy, clean and govern your data, train your workforce, put an approved AI-use policy and audit trail in place, and secure infrastructure that can run AI where you need it. A higher score simply means fewer gaps between you and production AI.
How long does the AI readiness assessment take?
About three minutes. You answer 14 multiple-choice questions, provide your contact details so we can send the report, and can add optional context at the end. You get an instant score, a dimension-by-dimension breakdown, and a personalized action plan.
What does the AI readiness assessment measure?
It measures five readiness dimensions — AI strategy and use cases, data readiness, people and skills, governance and security, and infrastructure — each scored out of 20 for a total out of 100. The five scores show which dimension is most likely to stall your next AI initiative.
What is the AI adoption curve, and where will I land on it?
The AI adoption curve describes four maturity stages: Explorer (evaluating AI, no production use), Pilot (running pilots), Operational (AI live in at least one function), and Transformative (AI scaled across multiple functions). Your total score places you at one of these stages, along with the specific next step for that stage.
Is the AI readiness assessment free?
Yes. The assessment is completely free, requires no credit card, and returns an instant score plus a downloadable report. If you want help acting on the results, you can book a strategy session or start with the AI Strategy Blueprint.