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.
Our clients trust our expertise in digital transformation, compliance, and risk management
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We support organizations in systematically classifying their AI systems according to EU AI Act requirements and developing tailored compliance strategies.
Inventory of all AI systems and assignment to the four risk categories
Assessment against Annex III and Article 6 criteria for high-risk classification
Development of a tailored compliance framework
Implementation of risk management and documentation requirements
Ongoing monitoring and adaptation to regulatory changes
"We help organizations precisely classify AI risks in accordance with the EU AI Act — while simultaneously building a governance framework that does not slow innovation, but accelerates it. Our combination of regulatory expertise and technological understanding enables us not only to meet compliance requirements, but to exceed them in a future-proof manner."

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
We offer you tailored solutions for your digital transformation
Systematic assessment and classification of AI systems in accordance with the EU AI Act with focused risk analysis and compliance optimization.
Development and implementation of strategic risk management frameworks with continuous monitoring processes for sustainable AI compliance.
Choose the area that fits your requirements
The EU AI Act compliance requirements define concrete obligations for various AI systems. We support you in the complete implementation of all necessary measures to comply with the new European AI regulation.
The EU AI Act imposes extensive documentation requirements on AI systems. We support you in systematically fulfilling all documentation obligations for legally compliant AI development and use.
Article 72 of the EU AI Act requires providers of high-risk AI systems to establish a post-market monitoring system. We support you in implementation: from systematic data collection and automatic logging to timely incident reporting to the market surveillance authority.
Our AI risk assessment supports you in the systematic analysis and classification of your AI systems in accordance with EU AI Act Article 9. From AI inventory through risk analysis to a continuous risk management system across the entire lifecycle.
Our expertise in the systematic classification of AI systems under the EU AI Act enables precise compliance strategies. From initial categorization to continuous reassessment — for secure and compliant AI innovation.
The EU AI Act defines four risk categories: (1) Unacceptable risk — these AI systems are prohibited, such as social scoring or subliminal manipulation. (2) High risk — AI systems in safety-critical areas like medical devices, recruitment, or creditworthiness assessment, defined in Annex III and Article 6. (3) Limited risk — systems with transparency obligations such as chatbots or deepfake generators. (4) Minimal risk — the majority of AI systems like spam filters or recommendation algorithms, with no specific obligations.
An AI system is classified as high-risk if it either serves as a safety component in a regulated product under Annex I or falls within one of the eight application areas listed in Annex III. These include biometric identification, critical infrastructure, education, employment, access to public services, law enforcement, migration, and administration of justice. Article 6(3) defines exceptions: AI systems for purely procedural tasks or for improving already completed human decisions may be exempt from high-risk classification.
AI systems posing unacceptable risk to fundamental rights and safety are prohibited. Specifically: social scoring by authorities or companies, subliminal manipulation of persons, exploitation of vulnerabilities of specific groups, real-time remote biometric identification in public spaces by law enforcement (with narrow exceptions), emotion recognition in the workplace and educational institutions, and predictive policing based on profiling. These prohibitions have applied since
2 February 2025.
Providers of high-risk AI systems must fulfill comprehensive requirements: a documented risk management system, data quality and data governance requirements, technical documentation, automatic logging, transparency toward users, human oversight, accuracy, robustness, and cybersecurity. A conformity assessment must be conducted before placing the system on the market. Full application of these rules begins on
2 August 2026.
AI systems with limited risk are subject to transparency obligations. Users must be informed that they are interacting with an AI. This applies to chatbots and virtual assistants, emotion recognition systems, biometric categorization systems, and AI-generated or manipulated content (deepfakes). The labeling requirement ensures that people can make informed decisions when interacting with these systems.
ADVISORI guides organizations through the entire classification process: from inventorying all deployed AI systems, through systematic assessment against Annex III and Article
6 criteria, to deriving concrete compliance measures. We create a documented risk assessment, identify high-risk systems, and develop a prioritized implementation plan for regulatory requirements — aligned with the August
2026 deadline.
Implementation follows a phased approach: Since
2 February 2025, prohibitions on AI systems with unacceptable risk apply. From
2 August 2025, rules for general-purpose AI models (GPAI) take effect. On
2 August 2026, obligations for high-risk AI systems become fully applicable, including conformity assessment and market surveillance. Organizations should begin classifying their AI systems now to ensure timely compliance.
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Our clients trust our expertise in digital transformation, compliance, and risk management
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