Do you need competent legal and technological support to implement testing and deployment of AI use cases in your company in compliance with the AI Act? Together with selected software partners, we have developed a pragmatic full-service solution that allows you to focus entirely on value creation – we help translate regulatory guidelines into practice and support your teams in the initial selection of relevant use cases, the assessment and classification into risk clusters, as well as the necessary documentation.
The new AI Regulation must not hinder innovation. Our goal is to provide you with the necessary knowledge to not only understand the EU AI Act but also to pragmatically and lawfully integrate it into your daily operations.
Our expert contributions focus on the key levers:
ISO 42001: The Management System for Artificial Intelligence as a Key to EU AI Act Compliance
EU AI Act & Artificial Intelligence: Risk Classes and the AI Regulation for High-Risk AI Systems
High-Risk AI Systems: Strategic Classification under the AI Regulation and Annex III
Fundamental requirements based on the EU AI Act
Webinar content
Compliance Services
| Legal Advisor
Legal Monitoring
| Diplom Jurist
Head of Managed Solutions
| Dipl. ing. oec.
The EU AI Act (Artificial Intelligence Act, Regulation on Artificial Intelligence) is the world’s first comprehensive law regulating artificial intelligence (AI). It creates a legally binding framework for the development, placing on the market, and use of AI in the European Union.
The impact of the EU AI Act on your company is risk-based and depends on whether you develop AI systems or introduce them to the market (provider) or deploy them (operator). It ranges from minimal transparency obligations to extensive governance and documentation requirements, with significant fines possible for non-compliance.
AI systems within the meaning of the EU AI Regulation are software solutions that use machine learning methods, logic-based or knowledge-based approaches to generate results based on input data. Examples include chatbots, image recognition systems, voice assistants, or automated decision-making processes. The key point is that these systems exhibit a certain degree of autonomy and can at least partially adapt or learn.
Systems that are not AI systems within the meaning of the Regulation are traditional software applications with fixed, programmed processes that lack learning-based or adaptive functions. Examples include simple databases, spreadsheets, or standard accounting software. Even if such systems automate tasks, they are not classified as AI as long as they do not perform autonomous evaluation or decision-making based on complex data structures.
Guidelines for handling AI systems are typically developed by the internal compliance or data protection department in collaboration with IT and risk management. It is important that these guidelines are tailored to the specific use of AI within the company. Our service helps you develop legally compliant and practical guidelines that meet the requirements of the EU AI Regulation and provide your employees with clear instructions for action.
Training sessions teach employees the fundamental principles of safe and responsible use of AI systems. Content includes, for example: what an AI system is, how to recognize risks, and what obligations I have when handling it. The training sessions can be conducted online.
First, a structured inventory of all AI applications within the company is conducted. We identify which systems are used, what tasks they perform, and what risks may exist for those affected. Subsequently, a classification according to risk classes as defined by the EU AI Regulation is carried out. The results serve as a basis for documentation, risk assessment, and necessary measures. Our service offers a simple and pragmatic method to carry out this process efficiently.