Between euphoria and responsibility
Artificial intelligence can create measurable value when it is treated as an operational tool, not as a trend. Clear goals, transparent processes and responsible data handling remain the foundation.
"Technology creates lasting value when it strengthens people and keeps decision-making transparent."
In the interview, Tobias Rieger describes today's AI landscape as high-potential but often overheated. Many organisations feel pressure to launch something quickly, before clarifying where AI should actually improve day-to-day work. That usually causes avoidable complexity later.
The key message is practical: start with process quality, ownership and data quality. With this baseline in place, AI can reduce repetitive work, improve consistency and free up teams for higher-value decisions. Without that baseline, outcomes remain inconsistent.
Data protection is another core theme. Sensitive business and customer data should not be pushed into external systems without controls. Instead, companies need clear governance, technical safeguards and architectures that keep decisions auditable.
The conclusion is straightforward: innovation and responsibility belong together. Organisations that combine both build systems that perform in production, not just in presentations.