Self-assessment

Module 1

The 5 stages of
AI literacy maturity

Dimension	Nascent	Developing	Established	Leading
Governance	Ad-hoc oversight with reactive controls	Defined policies but limited integration	Unified framework with cross-functional alignment	Strategic enablement driving competitive advantage
Skills	Basic awareness with significant capability gaps	Isolated pockets of expertise with limited collaboration	Systematic capability building with intentional development	Culture of AI fluency spanning technical and business domains
Technology	Experimental implementations with limited scope	Use case specific solutions lacking integration	Platform approach with scalability foundations	Enterprise integration with democratized access
Risk management	Undefined approach with risk blind spots	Compliance-focused with emphasis on constraints	Value-risk balance optimizing opportunity	Competitive advantage through superior risk navigation
Business integration	Technology-driven with limited business alignment	Project-based with emerging business connections	Strategy-aligned with measurable business outcomes	Transformative integration reshaping business models

Where are you on the AI journey?

Before you take the quiz, check out our AI readiness checklist to asses your maturity with your team

How prepared is your organization to scale AI responsibly? Use this quick quiz to evaluate your current approach to AI literacy, collaboration and regulatory readiness, especially in light of growing expectations around governance and compliance.

AI governance readiness quiz

1. AI literacy and training | How do you ensure employees understand AI’s risks, benefits and governance requirements?

A. We provide company-wide AI training and awareness programs

B. Some teams receive AI literacy training, but it’s not standardized

C. We’re considering AI literacy programs but haven’t implemented them yet

D. We do not offer AI literacy training

2. AI collaboration and skills gap | How well does your organization foster collaboration between AI builders, business leaders and governance teams?

A. We have cross-functional collaboration frameworks and clear accountability for AI

B. Some collaboration exists, but governance remains siloed

C. Lack of literacy and disjointed collaboration slows AI adoption and decision-making

D. AI projects are managed independently, often leading to misalignment and inefficiency

(continued)

3. AI literacy and decision-making | How well-equipped are decision-makers and teams to ask
critical questions about AI’s risks, benefits and impact?

A. We provide ongoing AI literacy and governance education to all key stakeholders

B. Some stakeholders receive AI training, but efforts are inconsistent

C. We recognize the AI literacy gap but haven’t implemented structured training

D. AI literacy is not currently a focus, limiting our ability
to evaluate AI’s impact on business and compliance

4. Understanding the EU AI Act and implementation | How well does your organization understand and apply the EU AI Act’s key provisions, including Article 4’s training and governance requirements?

A. We have mapped our obligations and are
actively implementing compliance measures

B. We are aware of the EU AI Act and have
begun assessing our responsibilities

C. We’ve heard about the EU AI Act but lack
a clear understanding of its implications

D. We have not considered the EU AI Act in
our AI strategy

Interpreting your results

Mostly As – You’re in a strong position. Continue to refine your literacy, governance and compliance practices as AI evolves

Mostly Bs – You’ve laid the groundwork but need more consistency and alignment across teams

Mostly Cs – You’re aware of the challenges,
but now’s the time to structure your AI governance approach

Mostly Ds – Urgent action needed. Without foundational literacy or governance, your organization is exposed to high risk

Next step: In Module 2, you’ll identify a role-based AI learning path to help close the gaps and build a roadmap for scaling AI safely and successfully.