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Specialised compliance solutions for high-risk AI systems

EU AI Act High-Risk AI Systems

Navigate safely through the complex requirements for high-risk AI systems under the EU AI Act. From risk classification to continuous compliance monitoring.

  • ✓Precise classification and assessment of high-risk AI systems
  • ✓Complete conformity assessment and CE marking
  • ✓Solid governance frameworks for continuous compliance
  • ✓Comprehensive documentation and audit support

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

  • Your strategic goals and objectives
  • Desired business outcomes and ROI
  • Steps already taken

Or contact us directly:

info@advisori.de+49 69 913 113-01

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What obligations apply to high-risk AI systems under the EU AI Act?

Why ADVISORI

  • Field-tested methodology for EU AI Act high-risk classification
  • Proven frameworks for conformity assessment and CE marking
  • Experience with harmonised standards and the EU AI Act Service Desk
  • Ongoing support through regulatory changes and Omnibus Act updates
⚠

Critical Notice

High-risk AI systems under Annex III may only be placed on the market from 2 August 2026 onwards if they fulfil all requirements of Articles 8 to 15 and have undergone a conformity assessment. Violations can result in fines of up to €15 million or 3% of global annual turnover.

ADVISORI in Numbers

11+

Years of Experience

120+

Employees

520+

Projects

We develop systematic and sustainable compliance strategies that bring your high-risk AI systems into full conformity while preserving their capacity for innovation.

Our Approach:

Comprehensive risk classification and assessment of your AI systems

Design and implementation of risk and quality management systems

Development of technical documentation and conformity assessment

CE marking and market launch support

Continuous monitoring and compliance maintenance

"We support our clients in precisely classifying complex AI applications as high-risk systems under the EU AI Act — and in systematically implementing all required compliance measures. Our structured approach saves time, reduces resource expenditure, and creates maximum legal certainty for responsible AI use."
Asan Stefanski

Asan Stefanski

Head of Digital Transformation

Expertise & Experience:

11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI

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Our Services

We offer you tailored solutions for your digital transformation

High-Risk Classification & Assessment

Precise assessment and classification of your AI systems pursuant to EU AI Act Annex III.

  • Systematic risk classification pursuant to Annex III
  • Impact assessment and risk assessment
  • Use case analysis and application scope definition
  • Compliance roadmap and implementation planning

Conformity Assessment & CE Marking

Complete conformity assessment and CE marking for market launch.

  • Conformity assessment procedure pursuant to Article 43
  • Technical documentation and declaration of conformity
  • CE marking and registration
  • Notified body coordination and audit support

Our Competencies in EU AI Act

Choose the area that fits your requirements

EU AI Act AI Compliance Framework

Regulation (EU) 2024/1689 (AI Act) requires providers and deployers of high-risk AI systems to establish structured compliance. We support risk classification, quality management system setup, technical documentation and conformity assessment — with clear milestones toward full applicability in August 2026.

EU AI Act Risk Classification

Precise classification and strategic management of AI risks in accordance with the EU AI Act. We develop tailored risk assessment frameworks that not only ensure compliance, but also promote innovation.

Frequently Asked Questions about EU AI Act High-Risk AI Systems

What are high-risk AI systems under the EU AI Act?

High-risk AI systems are AI applications that must meet particularly strict requirements under Article

6 of the AI Act. There are two categories: First, AI systems integrated as safety components in products under Annex I (e.g. medical devices, machinery, lifts). Second, standalone AI systems in the eight application areas of Annex III — from biometric identification through employment management to law enforcement. Importantly, AI systems in Annex III areas can still be classified as non-high-risk if they have no significant impact on decision-making (Art. 6(3)).

What obligations apply to providers of high-risk AI systems?

Under Article

16 of the AI Act, providers must fulfil extensive obligations: Establish a risk management system (Art. 9), ensure data governance (Art. 10), create and maintain technical documentation (Art. 11), implement automatic logging (Art. 12), ensure transparency and user information (Art. 13), enable human oversight (Art. 14), ensure accuracy, robustness, and cybersecurity (Art. 15), operate a quality management system (Art. 17), and conduct a conformity assessment with CE marking (Art. 43).

What eight areas does Annex III of the EU AI Act cover?

Annex III defines eight high-risk areas: 1) Biometric identification and categorisation. 2) Management and operation of critical infrastructure (transport, energy, water, digital networks). 3) Education and vocational training (exam assessment, access control). 4) Employment and worker management (recruitment, promotion, dismissal). 5) Access to essential public and private services (creditworthiness, emergency services, insurance). 6) Law enforcement. 7) Migration, asylum, and border control. 8) Administration of justice and democratic processes.

How does the conformity assessment for high-risk AI work?

Before placing on the market, every high-risk AI system must undergo a conformity assessment (Art. 43). For most Annex III systems, this is conducted as an internal control by the provider (Annex VI). For real-time remote biometric identification in law enforcement, a third-party assessment by a notified body is required (Annex VII). The provider then issues an EU declaration of conformity (Art. 47), affixes CE marking (Art. 48), and registers the system in the EU database. A renewed assessment is required for substantial modifications.

What human oversight requirements does Article 14 set?

Article

14 requires that high-risk AI systems be designed to allow effective oversight by natural persons. The oversight must enable: understanding of system capabilities and limitations, detection and remediation of anomalies and unexpected outputs, the ability to disregard the system or intervene in the output, and system interruption via a stop function. The oversight measures must be proportionate to the risk level and degree of autonomy of the system.

What deadlines apply for high-risk AI systems?

Obligations take effect in stages: Since

2 February 2025, prohibitions on unacceptable-risk AI apply (Art. 5). Since

2 August 2025, GPAI rules apply. On

2 August 2026, high-risk requirements under Annex III take effect — though the EU Digital Omnibus Act foresees a possible extension to

2 December 2027. For Annex I high-risk systems (product safety), the deadline is

2 August 2027. Systems already on the market must be updated when substantially modified.

What does post-market monitoring under Articles 72 and 73 involve?

Article

72 obliges providers to establish a post-market monitoring system that actively and systematically collects and analyses performance data throughout the AI system’s entire lifecycle. This includes user complaints, malfunctions, and incidents. For serious incidents — those that have caused or may cause death, serious health damage, or significant property damage — Article

73 mandates reporting to the market surveillance authority within

15 days. The monitoring must be set out in a documented plan and updated regularly.

Success Stories

Discover how we support companies in their digital transformation

Digitalization in Steel Trading

Klöckner & Co

Digital Transformation in Steel Trading

Case Study
Digitalisierung im Stahlhandel - Klöckner & Co

Results

Over 2 billion euros in annual revenue through digital channels
Goal to achieve 60% of revenue online by 2022
Improved customer satisfaction through automated processes

AI-Powered Manufacturing Optimization

Siemens

Smart Manufacturing Solutions for Maximum Value Creation

Case Study
Case study image for AI-Powered Manufacturing Optimization

Results

Significant increase in production performance
Reduction of downtime and production costs
Improved sustainability through more efficient resource utilization

AI Automation in Production

Festo

Intelligent Networking for Future-Proof Production Systems

Case Study
FESTO AI Case Study

Results

Improved production speed and flexibility
Reduced manufacturing costs through more efficient resource utilization
Increased customer satisfaction through personalized products

Generative AI in Manufacturing

Bosch

AI Process Optimization for Improved Production Efficiency

Case Study
BOSCH KI-Prozessoptimierung für bessere Produktionseffizienz

Results

Reduction of AI application implementation time to just a few weeks
Improvement in product quality through early defect detection
Increased manufacturing efficiency through reduced downtime

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