Time~3–5 minutes
Questions16 across 4 pillars
OutputInstant score + report
CostFree
Progress 0 / 16 answered

Pillar 01 Strategy & Leadership Clarity

1. Leadership has discussed how AI may affect workflows, productivity, or service quality in our environment.
2. There is at least a basic understanding of why AI would be used here beyond general curiosity.
3. Someone is clearly responsible for evaluating AI opportunities or next steps.
4. AI discussion here is tied to outcomes, workflows, or risks rather than hype.

Pillar 02 Governance & Risk Awareness

5. People generally understand what data should never be entered into public AI tools.
6. AI use is discussed with at least some awareness of policy, compliance, or reputational risk.
7. Important AI outputs would be reviewed before they are acted on or shared broadly.
8. There is at least a basic sense of what "safe experimentation" with AI looks like here.

Pillar 03 Workflow Integration

9. We can identify at least one low-risk workflow where AI could improve speed, quality, or consistency.
10. People here could describe at least one current task that AI could meaningfully assist without major risk.
11. There is at least some awareness of how AI tool outputs should be reviewed before they affect real work.
12. If we piloted AI in one area today, we could define what success looks like in practical terms.

Pillar 04 Capability & Skill Development

13. Most people here could use a basic AI tool with at least some practical confidence.
14. There is some shared understanding of what AI is - and is not - good at in a workplace context.
15. People here feel comfortable asking questions about AI without fear of looking uninformed.
16. If a structured AI skill development path existed for our team, there would be genuine interest in using it.

Answer all 16 questions to get your score. Results calculated instantly in your browser.

The Basics

What is AI readiness?

AI readiness is how prepared an organization is to adopt AI responsibly and get real value from it. It describes the conditions around the technology — leadership clarity, governance, workflow fit, and team capability — rather than the tools themselves.

That distinction matters because most organizations that feel behind on AI are not behind on technology. They are unstructured, which is a different problem with a different fix. For the longer treatment, see AI readiness in the workplace.

What does AI readiness mean?

In practice, AI readiness means you can answer four questions without guessing: who owns AI decisions, what is and is not allowed, which workflows are suitable candidates, and whether your team has the skills to use AI well.

An organization can be enthusiastic about AI and still not be ready, because readiness is about structure rather than interest. Those four questions map to the four capability pillars this assessment measures.

What is an AI readiness assessment?

An AI readiness assessment is a structured way to measure how prepared your organization is to adopt AI — scoring the conditions around it (leadership clarity, governance, workflow fit, and team skills) rather than testing anyone's technical knowledge. A useful one gives you a baseline and a clear next step, not just a number. The free AI Readiness Score is a 16-question version you can complete in about five minutes.

What is an AI readiness framework?

An AI readiness framework is the model an organization uses to structure AI adoption — it defines the dimensions readiness is measured on and the stages an organization moves through as it matures. The framework is the map; an assessment is how you locate yourself on it. That is the general concept — the Blair AI Rollout Framework is our specific 90-day system built on it.

What is an AI readiness audit?

An AI readiness audit is a point-in-time review of where AI already stands in your organization — which tools are in use, what data they touch, what guardrails exist, and who owns the decisions — done before you commit to a rollout. It is diagnostic: the point is an honest picture of your current state, not a plan yet. The free 5-Minute AI Audit is a fast, five-question version of this; the AI Readiness Score is the fuller, scored assessment.

What is on an AI readiness checklist?

A short AI readiness checklist you can run through before any pilot begins:

If you cannot tick most of these, that is a structure gap rather than a technology gap — and it is exactly what the AI Readiness Score measures. If AI is already in use before any of this was agreed, start with the shadow AI guide instead.

Prefer to work through it on paper, or take it into a meeting? The full AI readiness checklist is a free PDF — the six-item quick check above, plus all sixteen statements grouped by capability pillar. No email required.

Download the AI Readiness Checklist (PDF) →
Common Questions

AI readiness assessment — questions managers ask

What does the AI Readiness Score measure?

The AI Readiness Score measures organizational AI capability across four pillars: strategy and leadership clarity, governance and risk awareness, workflow integration, and capability and skill development. It produces an instant stage-based report with recommended next steps. For a deeper explanation of each dimension, see AI readiness in the workplace.

Who is this assessment designed for?

It is designed for managers and directors responsible for workflows, teams, and outcomes inside structured organizations. It is not a technical exam — no coding knowledge is required. Operations leaders can go further with the AI readiness assessment for operations teams.

How long does the AI Readiness Score take?

The assessment consists of 16 questions across four pillars and takes approximately 3 to 5 minutes to complete. Results are calculated instantly in the browser. When you're ready to act on your score, the Blair AI Rollout Framework turns it into a 90-day plan.

What is an AI readiness assessment?

An AI readiness assessment is a structured way to measure how prepared your organization is to adopt AI — scoring the conditions around it (leadership clarity, governance, workflow fit, and team skills) rather than testing anyone's technical knowledge. A useful one gives you a baseline and a clear next step, not just a number. The free AI Readiness Score is a 16-question version you can complete in about five minutes.

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