Understanding, using, and scaling AI.
Dipl.-Ing. Götz Stapelfeldt, Board of directors
F&P ExpertDipl.-Ing. Götz Stapelfeldt
After graduating from high school, Götz Stapelfeldt completed an industrial internship at Blohm + Voss and Airbus Commercial Aircraft in Hamburg. He then studied mechanical engineering and aerospace engineering at TUM in Munich.
He then spent 10 years as a development engineer in aerospace engineering at Airbus in Munich and as a consulting project manager for innovative solutions at an engineering service provider in Switzerland.
After a 14-year industrial career as managing director, plant manager, and production manager at leading international family-owned companies in the metal and electrical industry, Mr. Stapelfeldt started his own business as a consultant and interim manager.
Today, as an AI consultant, he supports medium-sized companies in increasing their efficiency and effectiveness through the use of AI tools.
Main objectives when using AI tools
- Automation of routine tasks
The most important driver is to reduce the workload on employees by automating repetitive tasks.
- Increased efficiency and productivity
AI systems optimize production processes, detect anomalies, and improve resource utilization. In industry in particular, predictive maintenance, quality control, and logistics planning are implemented with AI to reduce downtime and material losses.
- Improving decision-making
Predictive analytics and machine learning enable companies to derive patterns and trends from data in order to make more informed business decisions. This applies to demand forecasts, pricing, and strategic investments, for example.
- Optimizing customer interaction
AI-based chatbots, voice-activated assistants, and personalized recommendation systems increase customer satisfaction and response speed. Automated analysis of customer feedback also enables more targeted product and service development.
- Innovation and new business models
Generative AI opens up opportunities for developing new products, marketing content, and creative services. These technologies help diversify business models and tap into new markets.
- Cost reduction and risk management
AI helps identify operational risks early on (e.g., fraud, compliance violations), reduces operating costs, and supports financial planning through more accurate forecasts and automated accounting processes.