Insights
Analysis and frameworks from active consulting engagements across DACH and EU markets — grounded in implementation rather than theory.
The big consulting firms have hinted at this for a year. I checked it on eight real machinery makers. Not one publishes a measured result from its own AI use.
AI adoption offers transformative potential, but organizations must understand the hidden costs involved. From integration challenges to workforce upskilling, navigating these issues is crucial for success.
Recursive self-improvement in AI offers transformative potential for businesses, enhancing decision-making and operational efficiency. This blog post delves into its implications and ethical considerations.
Measuring the ROI of AI initiatives is crucial for DACH enterprises. This post explores strategies like KPI establishment and cost-benefit analysis to justify AI investments.
In 2025, I ran eleven AI readiness assessments. Nine found the same three gaps. Here is the four-dimension framework that reveals what organisations need to fix before deploying AI.
Most enterprises assigned the EU AI Act to their legal department. That is the wrong approach. The real implementation work lives in operations, IT, and data teams — and it requires more than documentation.
Next step
Reach out to discuss your specific context — or review selected work for structured examples of how these problems have been approached.