The introduction of artificial intelligence (AI) is transforming companies worldwide. In Europe, especially in the DACH region (Germany, Austria, Switzerland), an ambivalent picture emerges: While companies appreciate the benefits of AI, they face considerable challenges in implementing and using it. This article highlights the most important trends, problems and solutions – with a particular focus on how governance, risk and compliance (GRC) software can support companies in this.

AI use in Europe: status quo and potential

According to studies, 93% of companies in Europe use AI solutions in various phases – from exploration to optimization. AI is proving to be a valuable tool, particularly in the areas of IT security, human resources management and marketing. Companies in the DACH region particularly emphasize the relevance of AI for process automation, data analysis and personalization.

The advantages of AI:

1. Increased efficiency: Automated processes save time and reduce errors.
2. Better decision making: Data-driven analytics provide deep insights and forecast trends.
3. Improved customer experiences: Personalization increases customer satisfaction and loyalty.

Challenges of AI integration

Despite the optimism, companies face several obstacles:

1. Black box problem and traceability: AI decisions are often difficult to understand, which makes it difficult to accept and trust the technology.
2. Data management: Data fragmentation and silos make efficient use difficult. 82% of companies in the DACH region report difficulties in integrating data sources.
3. Skilled labor shortage: The lack of AI experts hinders the scaling of projects. Around 48% of companies are only moderately equipped with the right talent.
4. Regulatory requirements: The EU AI Act and other compliance requirements make the use of AI difficult, especially in sensitive areas.
5. Cultural barriers: Resistance among the workforce and a lack of acceptance are a significant problem.

Key areas with challenges

Some areas show particularly clear problems with AI integration:

• Marketing: Personalization and segmentation of target groups require in-depth data analysis, which is often hampered by inadequate data quality.
• IT and infrastructure: 68% of companies do not feel ready to adapt their infrastructure to the increasing demands of AI.
• Governance and compliance: Only 35% of companies have a high level of understanding of global data protection standards, which makes compliance with regulatory requirements difficult.

How GRC software can help

Governance, risk and compliance (GRC) software can play a crucial role in overcoming these challenges:

1. Data integration and management:

o Centralization and organization of data in compliant platforms.

o Improvement of data quality and traceability through automated processes.

2. Regulatory compliance:

o Support in compliance with EU AI laws through predefined frameworks.

o Automated monitoring and reporting on regulatory requirements.

3. Risk management:

o Early detection of security and operational risks through AI-supported analysis.

o Development of scenarios to minimize potential risks.

4. Employee training:

o Integration of learning modules and training programs to promote workforce acceptance and competence.

5. Cultural transformation:

o Promoting a proactive and open approach to new technologies through transparent communication and measurable success criteria.

Conclusion

The DACH region is facing a critical phase in the use of AI. Companies recognize the opportunities, but also the challenges, that come with integrating this technology. GRC software offers a strategic advantage here by helping companies minimize risks, meet regulatory requirements and increase efficiency. Those who consistently rely on these solutions can not only position themselves better, but also secure long-term competitive advantages.

The message is clear: the future of AI in Europe lies in targeted and responsible use – and GRC software could be the key to this.