Quality is not created by documentation alone, but by understanding.
I focus on how quality management, technical problem solving and modern digital tools can work together more effectively. My topics sit at the intersection of FMEA, 8D, Six Sigma, process analysis, production, electronics, data analysis and AI-supported automation.
What interests me most is how complex professional processes can be made clearer, more robust and more effective. It is not about applying methods only formally, but using them in ways that create real value in everyday work: recognising risks earlier, analysing causes more cleanly, making knowledge more accessible and preparing decisions more transparently.
A particular focus for me is the practical use of AI and automation. I enjoy working with tools such as Cursor, Python and local AI systems to develop structured workflows from recurring tasks, scattered knowledge or unclear data. Not as an end in itself, but as support for people who need to make better decisions.
FQI — personal knowledge space
FQI is my personal knowledge and experimentation space around modern quality work. Here I collect, condense and reflect on topics relevant to quality, production, processes and AI — practically, methodically sound and with a critical view of value, limits and risks.
I do not publish ready-made patent recipes here. I am more interested in the path there:
- How can quality work become more intelligent?
- How can methods, data and AI be meaningfully connected?
- How do solutions emerge that are not only technically interesting, but actually help in day-to-day work?