AI GOVERNMENT
The EU AI Act: What companies must now consider when managing risk
The AI Act fundamentally changes governance, compliance, and risk management. Companies must classify, document, and monitor their AI systems.
Der EU AI Act ist das weltweit umfassendste Regelwerk für Künstliche Intelligenz. Er definiert klare Anforderungen an Transparenz, Sicherheit, Dokumentation und Risk management. Unternehmen müssen ihre KI-Systeme prüfen und klassifizieren – und das oft schneller, als erwartet.
Read more about the contents of the swa EU AI-Acts at: https://aiact.software/
Legal framework
- Identification and documentation of AI systems in the company
- Classification of AI systems into risk levels: Inappropriate – High risk – Limited risk – Minimal risk
- Mandatory for high-risk AI (e.g., applicant selection, medical devices, creditworthiness assessment, critical infrastructure)
- Penalties for violations: up to €35 million or 7 % % of annual turnover
The AI Act distinguishes:
Forbidden AI
High-risk AI
Limited risk AI
Minimal risk AI
Risk management is primarily High-risk AI relevant.
Content requirements for high-risk AI
- Risikomanagement Systeme für Künstliche Intelligenz (Art. 9)
- Technical documentation and conformity assessment (Art. 11–19)
- Recording, transparency and human oversight
- Data quality controls and explainability
- Registration in the EU database for high-risk AI
Regulatory-required implementation measures
- Identification und Risiko-Klassifizierung Ihrer KI-Anwendungen
- Risikomanagement-Workflow nach Art. 9 AI Act (inkl. Logging, Controls, Reviews)
- Documentation module with export function for compliance testing
- Überwachungs– und Audit-Dashboard für laufende Kontrollen
- Integration mit existierenden ISMS/RMS (z. B. ISO 27001, ISO 31000, CSRD)
- Future-proof architecture for EU database registration
Impact on risk management
The AI Act requires:
New risk types
(Bias, Drift, Misclassification)
New controls
(Audit trails, monitoring)
New governance structures
(AI Board, AI Responsible)
Integration into existing
ERM and IKS systems
Practical example
An enterprise that uses AI-based lending must, for example:
Representing bias risks (-> systematic discrimination against groups)
Documenting training and learning data
introduce an AI control system
Conduct regular audits
Practical benefit:
Companies that start early benefit from:
AI governance becomes a competitive advantage
The AI Act is not just a compliance issue – it is a Governance topic. Companies that professionally manage AI risks ensure innovation and regulatory compliance Safety and avoiding, if necessary, high fines.
