EU AI Act Training and Internal Implementation
How to implement the AI Regulation organizationally: training, governance, documentation and auditing.
Implementing the EU AI Act requires not only technical measures but also organizational changes. Training concepts, clear governance structures and defined responsibilities are crucial for sustainable compliance.
Affected Teams and Their Tasks
Compliance Department
Coordinates overall implementation, creates policies, monitors compliance and serves as point of contact for supervisory authorities.
HR / Human Resources
Implements training concepts, documents AI competencies (Art. 4) and integrates AI policies into onboarding processes.
Legal Department
Reviews contracts with AI providers, assesses legal risks and prepares declarations of conformity.
IT & Development
Implements technical measures: logging, monitoring, access control and technical documentation of AI systems.
Executive Management
Approves budget and resources, defines AI strategy and bears overall responsibility for compliance.
5 Steps to Internal Implementation
Inventory: Create AI Register
Capture all AI systems used or developed in your company. Classify each system according to the risk class of the EU AI Regulation.
Governance: Define Responsibilities
Appoint an AI officer, define roles and create a RACI matrix for all compliance tasks.
Training: Build AI Competence (Art. 4)
Develop target-group-specific training concepts for compliance, HR, IT and management. Document all training conducted.
Documentation: Technical and Organizational Evidence
Create technical documentation per Annex IV, implement a risk management system and maintain an audit trail.
Assessment: Conduct Conformity Assessment
Conduct internal self-assessment or external conformity assessment and prepare the declaration of conformity.
Thomas Bahr
Managing Director, Webutissimo S.L. – EU AI Act Compliance Expert
Thomas Bahr helps companies implement the AI Regulation (EU) 2024/1689. Focus areas: risk classification, technical documentation and conformity assessment for AI systems.
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