Quick Answer: What Is an AI Readiness Assessment?
An AI readiness assessment is a structured check of how prepared an organisation is to adopt and scale AI. Good assessments look beyond data and technology to strategy, ownership, governance, skills and the ability to turn pilots into results. This scorecard measures six dimensions (Direction, Fluency, Judgement, Guardrails, People and Execution) and places your organisation at one of three levels: Awareness, Application or Amplification. For the full framework, read our guide to AI readiness for leaders.
Is your organisation ready for AI?
Answer 12 questions about how your organisation approaches AI today. You will get a readiness score, your level, a score for each of six dimensions, where to focus first and a 90-day plan.
- 12 questions
- About 3 minutes
- 6 dimensions
- No sign-up
The scorecard could not load. Please refresh the page or try another browser.
Is your organisation ready to get real value from AI? This free AI readiness assessment takes about three minutes. Answer 12 questions about how your organisation approaches AI today, and you will get an overall readiness score, your readiness level, a score for each of six dimensions, the two areas to focus on first and a 90-day plan.
Most AI readiness assessments focus on data and technology. This one focuses on what most often holds organisations back: leadership direction, decision rights, guardrails, people and the ability to scale. It is built on the framework we use with leadership teams in our AI programmes.
How the AI Readiness Assessment Works
The scorecard asks two questions for each of six dimensions. Each answer scores from 0 to 3, so every dimension is scored out of 6 and shown as a percentage, and your overall score is out of 100. Your two lowest dimensions become your focus areas, and your overall score sets your readiness level and 90-day plan.
| Dimension | What it measures |
|---|---|
| Direction | Whether the leadership team has agreed what AI should achieve and a short list of priorities with owners |
| Fluency | Whether leaders use AI themselves and can explain what it can and cannot do for the business |
| Judgement | Whether decision rights for AI are agreed and AI outputs are checked before they are relied on |
| Guardrails | Whether people know the approved tools and data rules, and risk teams are involved from the start |
| People | Whether AI has been discussed openly with employees and people have practical training and manager support |
| Execution | Whether AI pilots move into everyday work and results are measured against baselines |
What Your AI Readiness Level Means
Awareness (0–39)
AI is on the agenda, but it is not yet shaping how the organisation is led or how work gets done. The priority is shared AI fluency across the leadership team, a short list of agreed priorities with owners, and basic guardrails.
Application (40–69)
AI is in use and pilots are running, but results depend on individuals and few use cases have scaled. The priority is clear decision rights and ownership, redesigning at least one workflow end to end, and equipping managers to lead adoption.
Amplification (70–100)
AI is shaping strategy and operations, with clear ownership, guardrails and measured results. The priority is a repeatable path from pilot to production, a regular review of the AI portfolio, and developing the next layer of leaders.
Most organisations are earlier on this journey than they think. Cisco’s 2025 AI Readiness Index found that only 13% of companies globally were fully prepared for AI, and those companies were three times more likely to move AI pilots into production. Read more in our article on why AI pilots fail to scale.
What Are the Pillars and Stages of AI Readiness?
There is no single official framework. Microsoft’s AI readiness assessment uses seven pillars, Cisco’s AI Readiness Index uses six (strategy, infrastructure, data, governance, talent and culture), and a common simplified version uses five: strategy, data, technology, people and skills, and governance and culture. The simplest version has three pillars: people, process and technology.
Maturity models describe the stages organisations move through. One widely cited version, Gartner’s AI maturity model, has five levels: awareness, active, operational, systemic and transformational. This scorecard uses three levels, Awareness, Application and Amplification, to keep the focus on practical next steps for leadership teams.
How to Conduct an AI Readiness Assessment in Your Organisation
- Ask every member of the leadership team to complete the scorecard independently. Do not discuss answers first.
- Compare the results. Where scores differ by more than a level, you have found a topic to align on. Differences are often more useful than the average.
- Add the technical view. Review data, infrastructure and security readiness with your technology team, for example using a free organisational assessment from a technology provider.
- Listen to people closest to the work. A short pulse survey or a few conversations reveal how AI is really being used, including unapproved tools.
- Pick the two or three biggest gaps and turn them into a 90-day plan with owners, then repeat the scorecard to measure progress.
For a facilitated version with your leadership team, see our AI for Executive Teams programme. For aligning on priorities and ownership, read AI strategy for leadership teams.
Organisational Readiness vs Individual Readiness
This scorecard measures how ready your organisation is: its direction, rules, people practices and ability to scale. It does not measure an individual leader’s personal AI capability. Both matter. In our leadership programmes, participants also complete a scenario-based individual assessment before and after the programme, so they can see how their own AI judgement has developed.
AI Readiness Assessment FAQs
What is an AI readiness assessment?
An AI readiness assessment is a structured evaluation of how prepared an organisation is to adopt and scale AI. It usually covers strategy, data, technology, governance, skills and culture. This scorecard focuses on the leadership and organisational dimensions that most often hold organisations back.
How do you conduct an AI readiness assessment?
Ask each leader to complete a structured assessment independently, compare the results, add a technical review of data and infrastructure, gather input from people closest to the work, then turn the two or three biggest gaps into a 90-day plan with owners.
What are the five pillars of AI readiness?
There is no single official list, but a common five-pillar version is strategy, data, technology, people and skills, and governance and culture. Microsoft’s assessment uses seven pillars and Cisco’s index uses six.
What are the three pillars of AI readiness?
The simplest model is people, process and technology: the skills and leadership, the workflows and governance, and the data and infrastructure needed to use AI well.
What are the five stages of AI readiness?
Gartner’s widely cited AI maturity model has five levels: awareness, active, operational, systemic and transformational. Most organisations stall between experimenting with AI and using it in everyday operations.
What questions should an AI readiness assessment ask?
Good questions cover whether AI goals and priorities are agreed, whether leaders use AI themselves, who decides where AI is used, whether people know the rules, how employees are being trained and supported, and whether any pilots have scaled with measured results.
How long does the assessment take?
About three minutes. There are 12 multiple-choice questions, and your results appear immediately.
Is this a benchmark against other companies?
No. Your score reflects your own answers against the 10X AI Leaders readiness framework. It is designed to show where to focus, not to rank you against other organisations.
Who should take the AI readiness assessment?
CEOs, CXOs, business heads, HR and L&D leaders and transformation leads. It is most useful when several members of the same leadership team take it independently and compare results.
Is the assessment free and private?
Yes. It is free, needs no sign-up, and runs entirely in your browser. Your answers are not sent anywhere unless you ask for the emailed report, which we use only to send it and follow up, and never sell or share.
Turn Your Score Into a Plan
A score shows where you are. Moving up a level takes a leadership team that agrees its priorities, owners and guardrails, and builds AI capability across the organisation. Our instructor-led, hands-on workshops help leadership teams do exactly that. Explore our corporate AI training and workshops or talk to us about your results.