Practical analysis, Red Flag reviews and concrete insights from live AI projects — for decision-makers who want to know what actually works.
90% of AI pilots don't fail because of technology. They fail due to five predictable patterns — all of which are visible before the first budget is spent.
Read article →Real numbers from a completed project. No estimates, no marketing figures.
A sober look at the actual requirements of the EU AI Act for mid-market companies.
Three criteria that determine whether to buy, configure or build an AI system from scratch.
A concrete example of how bias testing uncovered a critical flaw — before the system went live.
The honest version of the conversation many consultants don't want to have — because it sometimes means selling less.
Without the hype: What autonomous AI agents actually deliver, where they fail, and what prerequisites you need.
Free to read online or download as PDF — no form, no sales call afterwards.
An honest assessment for DACH mid-market decision-makers: The 7 hidden cost categories behind AI projects that don't appear in the pitch. Three real case types (knowledge assistant +123%, …), ROI reality check, 20-point pre-purchase checklist.
A sober analysis of the most relevant AI developments for companies in DACH & CEE. What's coming, what stays, what's hype.
PDF herunterladen →Technical and organisational analysis of AI-driven community moderation: opportunities, limitations, compliance.
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