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Ministerial Leaders from These Countries Are
Leveraging the AI Policy Maturity Matrix
The Challenge
The problem we solve
Most organizations are already using AI. Very few are governing it well.
Leaders know AI matters — but they're stuck with:
Fragmented pilots
Unclear ownership
Vague policies that don't translate into action
Internal resistance driven by fear, confusion, or misalignment
The result? AI adoption that is slow, risky, or stalled.
The AI Policy Maturity Matrix exists to fix that
What it is
(and why it works)
The AI Policy Maturity Matrix is a proven, high-impact framework used in real-world workshops across the globe to help organizations — small to very large — understand where they are, align leadership, and move forward with confidence.
From Abstract to Clear
01
abstract AI conversations → clear system-level insight
From Disagreement to Alignment
02
disagreement → shared language
From Risk to Structure
03
concern and risk → structured decision-making
From Ambition to Action
04
ambition → prioritized action
Participants consistently call it:
“All of it was great—but especially the matrix session.”
— Participant, AI Policy Lab
“Learning from other organizations while still working deeply with our own team was incredibly valuable.”
— Participant, AI Policy Lab
“Good pace, clear structure, and very engaging discussions throughout.”
— Participant, AI Policy Lab
“The session helped clarify our institution’s current position in the AI landscape and gave us clear steps to improve.”
— Participant, AI Policy Lab
“The ethics section was excellent—lots of interaction, exchange of ideas, and deep reflection.”
— Participant, AI Policy Lab
“Hands-on, practical, and strategic. We left with a real action plan, not just ideas.”
— Participant, AI Policy Lab
“It gave us a reality check on where we stand today — and a clear path forward.”
— Participant, AI Policy Lab
“The matrix is very insightful and should absolutely be kept for future workshops.”
— Participant, AI Policy Lab
“The interactive parts — working with our own team and then with others—were extremely valuable. A fantastic mix.”
— Participant, AI Policy Lab
“The discussions created a safe space. People felt comfortable sharing views, asking honest questions, and reducing fear around AI.”
— Participant, AI Policy Lab
“We finally had time to work on a real plan for our organization, with clear guidance. That’s where we grew the most.”
— Participant, AI Policy Lab
“The structured policy maturity framework and hands-on group exercise worked very well. They turned AI concepts into practical, education-relevant policy discussions.”
— Participant, AI Policy Lab
“The matrix session was the most valuable part. It helped us clearly see where we stand and what to do next.”
— Participant, AI Policy Lab
“Concrete actions. Exactly what we needed.”
— Participant, AI Policy Lab
Built from the real world — not theory
This is not a theoretical model.
“Truly appreciate your support for Team Malaysia — we look forward to having you back.”
— Danial Azizan, Top 50 Brunei’s Most Inspiring LinkedIn Icon | High Performance Leader
“Very fruitful workshop. Well done.”
— Osama Yunes, Leading Technology Integration for Educational Outcomes
“We are blessed to have you and your team here. Thank you for the golden knowledge shared.”
— Dr. Nithia K., EdTech Integration & Digital Education Policy Specialist
“What a wonderful two days. Your facilitation and ability to truly engage people — and get them to do fun, hard things — is incredible.”
— Mmamotlhabi (Tlailane) François, EMEA Impact Lead, Google for Education
“An inspiring and productive day. We have set many key matters in motion.”
— Patrik Landström, Director of Education, Linköping Municipality
“Very inspiring. Thank you!”
— Alma Jonsson, IT Pedagogue, Uddevalla Gymnasieskola
“An inspiring and very useful workshop — great days.”
— Marie Horn, Digital Transformation Lead & Systems Specialist
The Matrix is built on 6–7 years of hands-on AI work, including:
AI policy and strategy labs across multiple countries
Leadership workshops with public and private organizations
Advisory work helping teams scale AI responsibly
IP gathered from implementing AI inside complex systems — not just talking about it
It reflects what actually breaks, actually works, and actually scales.
Who it's for
While widely used in education systems, the AI Policy Maturity Matrix is sector-agnostic and easily adapted for:
Enterprise
Corporates and enterprises
Growth Companies
SMEs and fast-growing startups
Public Sector
Government agencies and municipalities
Regulated Industries
Healthcare, finance, infrastructure, and regulated industries
Organizations
NGOs and large networks
If your organization is asking
"How do we scale AI responsibly without slowing ourselves down?"
— this is designed for you.
What organizations use it for
Organizations use the Matrix to:
01
Benchmark AI maturity
Benchmark AI maturity across
leadership, operations, data, people, and ethics
02
Align teams
Align executives, legal, IT, and frontline
teams in one room
03
De-risk adoption
De-risk AI adoption without killing innovation
04
Create buy-in
Create buy-in by making risks visible and manageable
05
Prioritize moves
Prioritize next moves instead of debating endlessly
“All of it was great—but especially the matrix session.”
— Participant, AI Policy Lab
"Thinking on actionable steps rather than complaints."
— Participant, AI Policy Lab
"The session helped clarify our institution's current position in the AI landscape and gave clear steps on how we can improve."
— Participant, AI Policy Lab
“It gave us a reality check on where we stand today — and a clear path forward.”
— Participant, AI Policy Lab
“We finally had time to work on a real plan for our organization, with clear guidance. That’s where we grew the most.”
— Participant, AI Policy Lab
The six domains that make or break AI at scale
The Matrix evaluates maturity across six critical domains that apply to any organization:
01
Governance & Strategic Ownership
02
Data Infrastructure & Privacy
03
Workforce Capability & Skills
04
Use-Case Integration & Literacy
05
Ethics, Risk & Evaluation
06
Partnerships & Innovation Ecosystems
These domains expose hidden blockers that most AI initiatives miss.
Five levels. No guesswork.
Each domain is scored across five clear levels:
Ad hoc
Developing
Emerging
Established
Transformational
What happens
in a Matrix session
The Matrix is delivered through high-energy,
facilitated workshops designed for leadership teams and cross- functional groups.
Sessions typically include:
Ethical and leadership decision moments
Concrete roadmap articulation
Individual and group scoring
Guided discussion and comparison
"Level-up" exercises
These are not passive sessions.
"Energetic and not sleepy."
"The moments that created the most energy were the matrix session, the level-up exercise, and the ethical and leadership discussions."
Participants regularly report feeling proud of the work they produced:
"Articulating clearer visions, putting words to a plan forward, and agreeing on specific next steps for our municipality, company, or team."
The structure matters.
Why the format converts skeptics
Participants consistently rate the content and format from "very valuable" to "outstanding." They value:
Focused Leadership Time
Focused time with their own leadership teams
Cross-Organizational Dialogue
Cross-organizational dialogue that challenges assumptions
Energizing Conversations
Conversations described as humbling, fun, and energising
This combination creates trust, momentum, and buy-in — even in risk-averse environments.
"A critical understanding of risks that will help secure stronger buy-in."
What you walk away with
Organizations leave with:
01
Clear Maturity View
A clear, shared view of current AI maturity
02
Leadership Alignment
Alignment across leadership and functions
03
Risk Understanding
A realistic understanding of risks and opportunities
04
Actionable Steps
Prioritized next steps that can be executed immediately
05
Scaling Foundation
A foundation for scaling AI responsibly, not reactively
These domains expose hidden blockers that most AI initiatives miss.
Proven impact, globally
Across countries, sectors, and organization sizes:
67%
Most Valuable
~Two-thirds of participants cite the Matrix as the most valuable part of the engagement
100%
System Clarity
Teams consistently move from fragmented thinking to system-level clarity
100%
Confident Leaders
Leaders leave with confidence — not overwhelm
What participants say after working
with the AI Policy Matrix
“We managed to identify clear next steps and turn discussion into a real plan.”
— Participant, AI Policy Lab
“I’m proud that we were able to articulate a clear vision for the direction our AI policy should take.”
— Participant, AI Policy Lab
“Good pace, clear structure, and very engaging discussions throughout.”
— Participant, AI Policy Lab
“We managed to identify clear next steps and turn discussion into a real plan.”
— Participant, AI Policy Lab
About the creators
The AI Policy Maturity Matrix was created by Jos Dirkx, in partnership with Beenova AI, combining deep AI expertise, facilitation excellence, and years of implementation experience.
The focus is unapologetically practical: helping organizations move faster —with fewer mistakes.
Ready to scale AI with clarity?
The AI Policy Maturity Matrix can be delivered as:
Leadership workshops
Strategy
offsites
Policy and governance labs
Cross-functional alignment sessions
