AI insights for business
Practical knowledge about AI in business: figures, regulation and concrete applications – clearly explained.
E-invoicing in Germany 2027: obligations, deadlines and how AI helps
From 2027, German companies with over €800,000 turnover must issue e-invoices, from 2028 all. Deadlines at a glance and where AI helps with receipt and checks.
StrategyAI in German SMEs 2026: figures, opportunities and how to start right
57% of companies in Germany use AI, but hardly anyone exploits its potential. What the 2026 Bitkom figures show and how mid-sized companies can start sensibly.
Data protectionIntroducing a GDPR-compliant AI chatbot: the business checklist
Hosting, data processing agreement, data minimisation, AI Act disclosure: the key points for an AI chatbot that is compliant and trustworthy.
ComplianceAI Act 2026: what companies need to implement now
AI literacy, transparency obligations, prohibitions and high-risk systems: which EU AI Act duties apply in 2026 and what companies should actually do.
KnowledgeRAG explained: how companies make their knowledge usable with AI
What Retrieval-Augmented Generation is, why it reduces hallucinations and how to build an AI knowledge base with sources and access control.
AutomationAI agents in business: 5 use cases and how to start safely
What sets AI agents apart from chatbots, where they genuinely save time in a company and which rules make them safe to use.
StrategyHow much does AI cost a company? Cost drivers and how to calculate value
What determines the cost of an AI project, which running costs to plan for and how to check with a simple formula whether AI pays off.
ComplianceAI policy for employees: what to include and how to introduce it
Which rules a company AI policy should contain, how it fits the AI literacy duty under Art. 4 AI Act and how to embed it in your team.
Where does AI deliver the most for your company?
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