Skip to content

A personal initiative of Laurence Liew · Author of AI-First Nation

Free & open download

The AIRI Framework — free downloads

Everything you need to measure and improve AI readiness — for yourself and your organisation. Use freely. Share widely.

CC BY 4.0· Use freely · Attribute “Laurence Liew | airi.foundation”

Downloads

What you’ll get

Understand The AIRI Framework — For Leaders

The AIRI Framework Guide v3.2 (Framework · PDF)

The complete AIRI Framework reference — 5 pillars, 15 dimensions, 5 maturity levels, all 30 questions with behavioural anchors, scoring methodology and the AIRI Decision Engine for project discovery and prioritisation. Start here.

Build — Canonical Reference for Developers

AIRI Canonical Reference (Markdown source · ZIP)

The complete spec in a single Markdown file: the 5-pillar, 15-dimension architecture; all 30 pAIRI and oAIRI questions with behavioural anchors and semantic keys; the scoring methodology; scoring hooks; and the Decision Engine.

Facilitate — For Project Teams

AIRI Workshop Runbook (Project facilitation · PDF)

A step-by-step facilitator’s guide for running an AI readiness workshop. Includes the AIRI Discovery and Prioritisation Framework for scoring candidate AI projects on feasibility, impact, and organisational readiness.

Facilitate — For Project Teams

AIRI Decision Engine Charts (Project facilitation · PDF)

A3/A1 printable AIRI Decision Engine worksheet to print and use for in-person AIRI workshops.

Sign up

Unlock Your Downloads

Get the AIRI Framework and the AIFN Insights newsletter in your inbox. Unsubscribe at any time.

How to use

How to use these documents

  1. 1

    Understand

    Read the AIRI Framework Guide and Canonical Reference to learn the 5 pillars, 15 dimensions, and 5 maturity levels.

  2. 2

    Assess

    Run the pAIRI (personal) and oAIRI (organisational) assessments using the Markdown files. Build them in any survey tool.

  3. 3

    Prioritise

    Use the Decision Engine Guide and Workshop Runsheet to score and rank AI projects with your leadership team.