# AIRS — AI Readiness Assessment Methodology — LearnAI

AIRS isn't another personality quiz dressed up as an assessment. It's a validated research instrument
built on doctoral-level psychometric methodology — developed by [Fabio Correa](https://learnai.correax.com/about),
        Director of Analytics & Data Science at Microsoft, as part of his doctoral research into
        AI capability development in knowledge work.

The instrument was tested with 500+ real subjects across industries and roles before publication.
        It correctly identifies readiness profiles 94.5% of the time
and supports multiple languages.

 [Take the Free Assessment →](https://airs.correax.com/) airs.correax.com  ·  5 minutes  ·  No account required to start

## The methodology behind it

500+

Research subjects

Tested across industries, roles, and experience levels before publication

94.5%

Classification accuracy

Validated through rigorous psychometric analysis and cross-validation

29

Languages

Localized assessments and personalized reports in the respondent's own language

8

Dimensions

Based on established technology adoption theory adapted for AI readiness

The theoretical foundation draws on the Unified Theory of Acceptance and Use of Technology
      (UTAUT), adapted with constructs specific to AI collaboration: perceived enjoyment,
      value-cost ratio, habit formation, and institutional trust. These eight dimensions predict
      not just whether someone will use AI, but whether they'll use it effectively.

## Eight dimensions of AI readiness

Each dimension measures something real — a factor that research shows actually determines how people adopt and succeed with AI tools:

Dimension

What it measures

Usefulness

Do I believe AI will genuinely make me better at my job?

Ease of use

Does this feel approachable enough that I'll actually use it?

Social environment

Are colleagues and managers encouraging me to engage with AI?

Support & resources

Does my organization provide the tools and training I need?

Enjoyment

Do I find AI genuinely interesting or fun to explore?

Value-cost ratio

Is the payoff worth the effort to learn? (Research shows this is the single strongest predictor.)

Habit

Has AI become a natural part of how I work, or does it still feel like extra effort?

Trust

Do I feel confident that AI is reliable and handles my information responsibly?

## Three readiness profiles

Your score places you in one of three evidence-based profiles, each with a personalized action plan:

≤ 20

AI Skeptic

TRANSFORM

Cautious and deliberate. Your plan focuses on small, safe experiments where you stay in control — building confidence at your own pace.

21–30

Moderate User

REDESIGN

Interested but inconsistent. Your plan identifies the specific tasks where AI saves you the most time — real results fast.

31–40

AI Enthusiast

AMPLIFY

Already a believer. Your plan helps you go deeper, share what works, and turn enthusiasm into visible organizational impact.

## What you receive

- AIRS Score — a number from 8 to 40 pinpointing your current readiness

- Readiness profile — Skeptic, Moderate, or Enthusiast, with a clear explanation of what it means for you

- Personalized action plan — written in your language, tailored to your context, ready to act on

- PDF report — save or share with your manager, HR team, or leadership

- Progress tracking — retake anytime to measure growth over time

## For teams and organizations

AIRS scales from individual reflection to enterprise-wide readiness mapping. Leaders use it to understand where their workforce stands before rolling out AI tools, designing training, or planning change initiatives.

- Team readiness dashboard — AI readiness broken down by team, department, or role

- Invite and track participants — distribute the assessment and monitor completion

- Organizational reports — understand the gaps and prioritize investment

- Data export — take results into your own analytics and reporting tools

[Set up your organization →](https://airs.correax.com/org/register)

## Putting research into practice

AIRS connects doctoral research on AI capability development with
      practical readiness assessment. It helps individuals and organizations
      identify where focused training, stronger governance, or better
      implementation support is needed.

## Useful links

- [Take the assessment](https://airs.correax.com/) — free, 5 minutes, no signup required

- [User guide](https://airs.correax.com/help) — how to read your results and share your report

- [For organizations](https://airs.correax.com/org/register) — set up team assessments

- [AI Adoption Framework](https://learnai.correax.com/ai-adoption) — Assess → Train → Measure