AI rarely fails because of intelligence—but because of integration

According to the Lünendonk Study 2025 “AI Transformation”, only 31% of companies succeed in scaling their AI projects beyond the pilot phase. The technology is there, but the benefits are still missing. The reason: poor integration, unclear responsibilities, and insufficient databases.

The study clearly shows:

• 60% see AI as a management and organizational task
• 56% cite lack of integration as the main problem
• 53% complain about poor data quality as a key obstacle
• 49% point to a lack of change management structures
• 85% expect increased efficiency—but only 39% actually experience it in everyday life

This shows that no scaling is possible without structure.

Why integration is crucial

Many companies invest in chatbots, voicebots, or generative AI—but without access to systems, data, and clear processes, success remains elusive. The Lünendonk® study shows that successful companies:

• Build on reliable data and system architecture
• Connect platforms and interfaces (APIs)
• Establish clear governance and responsibilities
• Integrate specialist departments into implementation at an early stage

This ensures that AI does not become an experiment, but rather a scalable part of operational business.

Conclusion: AI success begins with strategy and structure

The Lünendonk study confirms that AI projects rarely fail due to the technology itself, but rather due to organization, data quality, and integration. Aristech helps companies close this gap and make AI truly productive. Aristech supports companies on their path to scalable AI integration, from architecture consulting to automation in customer service. Our solutions combine system integration, data quality, and voice-enabled AI agents for measurable efficiency and European standards of trust.