Artificial intelligence is transforming how companies interact with their customers. Yet many mid-sized businesses struggle to leverage this technology effectively. While AI promises to automate routine tasks and unlock valuable insights from customer data, the path to successful implementation is fraught with challenges: from data protection compliance and system integration to ensuring that technology actually enhances rather than replaces human relationships.
To explore these complexities, IT-Mittelstand, a German business technology magazine published by Springer Fachmedien Verlag, sat down with Christopher Helm, CEO of Helm & Nagel GmbH. Drawing from his extensive experience helping companies navigate digital transformation, Helm offers practical insights into what works and what doesn't when bringing AI into customer relationship management.
Key Takeaways from the Interview
- Breaking down CRM complexity with AI: Mid-sized companies often struggle with underutilized CRM systems that demand too much manual effort. By automating routine processes and surfacing relevant customer information, AI helps shift employee focus from administrative tasks to building genuine customer relationships.
- New regulatory framework with the EU AI Act: The EU AI Act, effective February 2025, establishes risk-based classifications for AI systems. Companies must understand these compliance requirements, especially when AI influences customer interactions or business decisions.
- Automating first-line customer support: Deploying AI agents to handle routine inquiries frees up support and sales teams to tackle more complex customer needs. This division of labor improves response times while elevating the quality of human-to-human interactions.
- Data quality determines AI success: Technology implementation is the easy part. Defining clear use cases and organizing internal knowledge is where companies often stumble, as demonstrated in assortment planning and other data-intensive domains. AI solutions can only perform as well as the data and documentation they're built upon, making proper information architecture a prerequisite for success.
- Navigating data protection requirements: Regulatory compliance, particularly around GDPR, poses significant risks for companies implementing AI in customer-facing systems. Helm emphasizes the importance of proper data handling and suggests that European AI providers may offer clearer paths to compliance and liability protection.
- Incremental implementation over big-bang rollouts: Rather than overhauling entire systems at once, Helm advocates for targeted pilot projects that demonstrate clear value. Early team involvement and focusing on genuine productivity gains, not just new interfaces, increase adoption rates and long-term success.
- AI as an enabler, not a replacement: The goal isn't to eliminate human expertise but to amplify it. By handling repetitive tasks and improving system usability, AI gives employees more capacity for the relationship-building and strategic thinking that truly drives customer loyalty.
The interview was published on December 8, 2025, in issue 11-12/2025 of IT-Mittelstand.
About IT-Mittelstand
IT-Mittelstand is a specialized German business magazine published by Springer Fachmedien Verlag that focuses on information technology for small and medium-sized enterprises (SMEs). The publication covers topics including digitalization, software solutions, IT security, and business process optimization, providing decision-makers in mid-sized companies with practical insights and expert perspectives on current technology trends and their business applications.