EU AI Act Compliance

AI Literacy: From Compliance to Competitive Advantage

Starting February 2, 2025, AI literacy must be ensured by organizations. Implement the official AP 4-phase framework strategically and transform from compliance to competitive advantage.

EU AI Act compliant
AP-based framework
Tailored approach
AP AI Literacy Action Plan Framework

Our Strategic AI Literacy Framework

Based on the official AP action plan “Getting Started with AI Literacy” (February 2025). A proven 4-phase approach for sustainable AI literacy implementation according to the Dutch Data Protection Authority.

Phase 1

Identify

Determining needs and challenges

  • Inventory all AI systems and their risks
  • Focus on effects on people and society
  • Baseline assessment of knowledge and skills
  • Document involved persons and roles
Phase 2

Set Goals

Establishing concrete and measurable objectives

  • Set goals based on risk level
  • Determine required knowledge per employee
  • AI literacy high on agenda all levels
  • Executive commitment and budget
Phase 3

Execute

Implementing strategies and actions

  • Training on ethical, technical, legal aspects
  • Specialized training per role
  • Vision/culture document development
  • AI officer role definition (large orgs)
Phase 4

Evaluate

Assessing results and improvement points

  • Reports, audits and baseline measurements
  • Annual effectiveness surveys
  • Set new goals and measures
  • Continuous process - AI develops rapidly
“There is no 'one size fits all' approach; the necessary measures depend on the context in which AI systems are deployed.”

Dutch Data Protection Authority

Getting Started with AI Literacy, February 2025

Why AI Literacy is Crucial

In the new EU AI Act era, AI literacy is no longer optional. It is a strategic necessity.

Legal Compliance

Article 4 of the AI Regulation requires providers and deployers to take measures for an adequate level of AI literacy among personnel. Non-compliance can lead to fines up to €35 million.

Mandatory risk assessments
Documentation obligations
Human oversight requirements

Competitive Advantage

AI literacy strengthens societal resilience and enables organizations to deploy AI systems with confidence and critical insight for strategic advantages.

Faster decision-making
Increased productivity
Innovative solutions

Risk Mitigation

AI literacy encompasses technical, social, ethical and practical aspects.Personnel must be able to interpret AI system output and understand how AI decisions affect people.

Bias detection and prevention
Ethical AI implementation
Reputation protection
AP Framework

Our Holistic Approach

We combine strategic advice, practical training and ongoing support for sustainable AI literacy implementation.

Strategic Assessment

Thorough analysis of your current AI usage, risk assessments and identification of improvement opportunities according to EU AI Act requirements.

Tailored Training

Role-specific training for different levels: from executives to end users, adapted to your industry and specific AI applications.

Ongoing Support

Continuous monitoring, updates on new developments and adjustments to changing regulations and best practices.

Implementation Roadmap

1
Intake & Assessment (Week 1-2)
2
Strategy Plan & Goals (Week 3-4)
3
Training Rollout (Week 5-12)
4
Evaluation & Optimization (Ongoing)

Certification Included

All participants receive an AI literacy certification according to the Dutch Data Protection Authority guidelines.

Practical Examples from the AP Document

Concrete situations and challenges as described by the Dutch Data Protection Authority.

Education

Teacher with Generative AI

“A teacher using generative AI must understand how information is created and realize that AI can contain biases and incorrect information.”

Understanding AI information formation
Recognizing biases
Critical assessment of output
HR

HR Assessment with AI

“HR personnel using a profiling assessment with AI must have sufficient knowledge about the risks and correct usage.”

Knowledge of AI risks
Correct use of tools
Fair candidate assessment
Organization

Project Manager Sandra

“Project manager Sandra must know and register all AI systems within company Y, including their risk level and involved employees.”

Complete AI systems inventory
Risk level determination
Stakeholder mapping
Evaluation

Annual Effectiveness Measurement

“Company Y can annually conduct a survey among employees to examine the effectiveness of measures taken.”

Employee surveys
Effectiveness measurement
Continuous improvement

More examples in the AP document

The complete document contains even more practical examples and guidelines for different sectors and organization types.

Download complete AP document

Implementation Roadmap

A step-by-step timeline for successful AI literacy implementation according to the AP framework.

Week 1-2

Phase 1: Identify

Complete inventory of AI systems and stakeholders within your organization.

AI systems mapping
Risk categorization
Stakeholder analysis
Week 3-4

Phase 2: Set Goals

Formulate strategic objectives and set priorities for AI literacy.

SMART goals development
KPI definition
Implementation plan
Week 5-12

Phase 3: Execute

Implementation of training, policies and governance structures.

Training programs
Governance structures
Policy implementation
Week 13+ (Ongoing)

Phase 4: Evaluate

Continuous monitoring, evaluation and improvement of AI literacy.

Performance monitoring
Effectiveness measurement
Continuous optimization

What you receive after implementation

Complete Roadmap
Step-by-step implementation guide according to AP framework
Compliance Checklist
Practical checklist for all AI literacy requirements
Certification
AI literacy certification according to AP guidelines

Ready to Implement AI Literacy Strategically?

Start today with the official AP 4-phase framework and transform your organization from compliance to competitive advantage.

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4 Phases
AP framework implementation
6 Months
Average implementation time
Tailored
Adapted to your organization