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Challenges of the EU AI Act

EU AI Act: Regulation as an opportunity for your AI strategy

The EU AI Act marks a turning point in the regulation of artificial intelligence and creates a new framework for all companies that develop or use AI systems. As an experienced partner, we support you in mastering this challenge and turning it into a strategic advantage.

The EU AI Act: Background and Critical Deadlines

The EU AI Act is the world's first comprehensive regulation for artificial intelligence and sets new standards for safe, transparent, and ethically sound AI systems. In force since August 1, 2024, the law follows a risk-based approach with clear deadlines that every company must keep in mind.

Crucial milestones for your compliance planning

Prohibited AI practices must be stopped

Classification of all AI systems into risk categories must be completed

Complete implementation of all governance measures and detailed fulfillment of all requirements

The regulation categorizes AI systems according to risk levels, ranging from prohibited practices and high-risk applications to systems with minimal risk. Special attention is paid to general-purpose AI models like GPT-4, for which specific requirements apply.

Our Benefits

Leveraging Synergies Between the AI Act and the GDPR

The GDPR regulates personal data, the AI Act the use of AI. Overlaps require the inclusion of the GDPR in the risk assessment to ensure data protection compliance.

Diverse Stakeholder Landscape

Successful implementation requires close collaboration between the data protection, IT, and legal departments. This is a challenging management task.

Uncontrolled use of generative AI

Decentralized use of AI tools makes regulation difficult. Clear guidelines are required to effectively manage their use.

Risk minimization and building trust

Structured risk assessments minimize problems and strengthen confidence in the company's AI solutions.

AI Act and Data Act -
Data as the foundation of AI

The Data Act, entering into force in 2025, regulates data access. Together with the AI Act, it promotes the responsible use of data and AI technologies.

System landscapes that have evolved over time

Many companies have complex systems without a complete register, which makes recording and evaluation difficult and requires thorough analysis.

Identifying and Seizing Opportunities: Added Value Through Compliance

The implementation of the AI Act offers strategic opportunities and strengthens the market position of companies that act early.

Innovation on a Safe Track

Clear guardrails promote responsible innovation and create compliance-compliant processes for AI investments.

Leverage Synergies

The integration of these regulations requires comprehensive compliance management, which is ensured by our expertise. This allows companies to implement all requirements efficiently.

A Moving Target in SaaS Applications

AI functions in cloud services are constantly changing. This requires continuous monitoring and adaptation of compliance strategies.

Competitive Advantages Through Early Adoption

Early compliance builds trust and positions companies as pioneers in the responsible use of AI.


Overcoming Complex Challenges

The implementation of the AI Act presents companies with complex challenges that require careful planning and strategy.

Challenges in General-Purpose AI

General-purpose AI systems pose specific requirements for risk assessment and governance. Individual controls are necessary.

Optimization of processes and competencies

The requirements offer opportunities for process optimization and the expansion of AI competencies within the company.

Our proven approach: To success with AdEx Partners

We support you with a structured, three-step approach to successfully implementing the EU AI Act:

1. Identify & Validate

  • Analysis of the Applicability of the AI Act to Your Systems Using Structured Questionnaires
  • Creation of detailed management reports for decision support
  • Development of a Customized Implementation Plan

2. Mitigation Initiation & Guidelines

  • Development of action plans for the decommissioning or modification of prohibited systems
  • Preparation and implementation of targeted
    AI skills training for all employees, with a specific focus on application managers
  • Preparation of decision papers for make-or-buy decisions

3. Implementation of Requirements & Setup of Governance

  • Creation of a comprehensive AI register as the basis for your compliance
  • Implementation of specific requirements depending on the risk category using templates and forms
  • Establishing robust governance processes for sustainable compliance
  • Operationalization of your AI compliance strategy using the framework, controls, and audits into existing structures
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