AI strategy
What founders and CxOs decide: which process first, against which metric, by when.
AI consulting for German companies: what it delivers
Bitkom counts 41 percent of companies using AI, but only 52 percent can name a measurable contribution. What consulting delivers, what it costs and how to pick one.
Free AI at work: what the free tier really costs you
Half your workforce already uses AI without approval. What free accounts do with your input, where the line sits and what to decide this quarter.
AI Dangers: The Real Risks and the Hyped Ones
The best-known AI danger is the least likely. While headlines warn of the rebellious machine, the real harm happens elsewhere. Which risks count and how to manage them.
Learning That Sticks: 7 Hacks from Duolingo
Duolingo made learning as reliable as checking social media. Which game mechanics are behind it and how to use the same principles to build AI skills.
Structured Thinking: How to Solve Problems Clearly
Most bad decisions come from missing structure. With MECE, the Pyramid Principle and the issue tree you solve problems more clearly and convince more easily, also alongside AI.
AlphaGo and Move 37: What the AI Milestone Teaches
In March 2016 AlphaGo beat Go grandmaster Lee Sedol 4 to 1. A single move showed what AI is capable of, and what businesses can learn from it.
Does AI Make Us Dumber? What Brain Research Shows
The claim that AI destroys your brain sounds alarmist, yet brain research gives it some weight. What an MIT study found and how to use AI without losing the habit of thinking.
AI-Driven Lead Generation for SMEs: What Truly Works
AI can noticeably improve lead generation in mid-sized companies, if it targets a clear process instead of the next tool. What really matters in execution.
Rethinking Productivity at Work with ChatGPT
ChatGPT can ease daily work, but only with clear rules. Where the benefit comes from, how to avoid expensive workslop and what the tool is really suited for.
AI, IoT and RAG: Use Cases from Practice
AI, IoT and RAG only deliver value when they meet a real process. Which use cases work in the Mittelstand and why the first one is often unspectacular.
Understanding AI Agents: Practical Insights
AI agents are meant to complete tasks on their own. In practice they often fail at unexpected points. What agents do, where their limits are and what matters at rollout.
Why AI Understanding Often Fails in SMEs
Many SMEs grasp the importance of AI, yet a strategy gap opens between interest and execution. Why the first step decides and what a pragmatic AI strategy looks like.