AI Readiness Score

Twelve honest questions. A score out of 100, a level, a breakdown by dimension, and the exact guides to read next.

Question 1 of 12 · Understanding

If a colleague asked what a large language model actually does, you would say…

I'm not sure, honestlyIt's like a smarter search engineIt predicts likely text from patterns it learned in trainingIt predicts likely text, and that is exactly why it can be confidently wrong

The four dimensions

Understanding

Do you know what a language model is actually doing, why it hallucinates, and what the key terms mean?

Tool fluency

How often and how deeply do you use the tools: files, voice, custom assistants, AI inside Office or Workspace?

Workflow integration

Is AI part of how you do recurring work, with saved prompts, assistants, and automations?

Judgment and safety

Do you verify output, follow data rules, and understand risks like prompt injection and deepfakes?

Retake it after finishing the free learning path to see the difference.

Frequently asked questions

What does the AI Readiness Score measure?

Four things that predict whether someone gets real value from AI at work: whether they understand what the tools are and are not doing, how fluently they use them, whether AI is built into recurring workflows, and whether they exercise good judgment about accuracy and data.

Is it a test of technical knowledge?

No. It is about working habits. Someone who has never written code can score highly by using tools daily, keeping a prompt library, verifying output, and following data rules.

Where do my answers go?

Nowhere. The quiz is scored in your browser. Your latest result is saved on your device so you can retake it later and compare, and nothing is sent to our servers.

How do I improve my score?

The results page links the guides that match your weakest dimension. Most people move a level in a few weeks by following the free learning path and doing the exercises.