AI in companies, clearly explained.
In-depth guides for decision makers in mid-sized companies: strategy, data protection, knowledge management, AI agents and regulation – practical, sourced and without hype.
Strategy & Adoption
AI for mid-sized companies
How mid-sized companies use AI effectively: use cases by department, prerequisites, data protection, criteria for choosing an AI platform and a five-step roadmap – without the hype, with clear decisions.
Read the guideData Protection & Compliance
GDPR-compliant AI: the ChatGPT alternative for businesses
How companies use generative AI in compliance with data protection law: legal bases, the seven checkpoints from DPA to training, special cases such as meetings and HR data, criteria for a ChatGPT alternative and a rollout checklist.
Read the guideKnowledge & Documents
AI knowledge base: knowledge management with AI
How an AI knowledge base answers questions from your documents with sources: the technology from embeddings and RAG to knowledge graphs, permissions, answer quality, selection criteria and a four-step rollout.
Read the guideAgents & Automation
AI agents for businesses
What distinguishes AI agents from chatbots, where they save mid-sized companies time, how to ensure control, security and data protection, and how to put a first agent into productive use in six steps.
Read the guideRegulation
EU AI Act: obligations for companies
What the AI Regulation requires of companies after the Digital Omnibus on AI: a timeline with all deadlines, roles and risk categories, AI literacy and transparency, high-risk obligations from December 2027, supervision in Germany and a seven-step roadmap.
Read the guideTerms in the glossary
Short definitions of the key terms – as a shared language for your team.
From the blog
Practical articles on individual questions, from GDPR-compliant ChatGPT use to AI in sales.
All articlesHow much time can AI give back to your team?
Three short questions about goal, knowledge and team size. Then you get a personal assessment.