AI
AI at work
Between the AI demo and productive use lies real work: processes, privacy, habits. These articles show how companies actually bring AI into daily operations – from agents to team adoption.
The guide
Adopting AI at work: From a pilot to a service you can run
Measure an AI pilot against the time it takes to produce a usable result. Compare platforms, calculate the cost per case and put AI literacy into practice.
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ChatGPT Work for teams. From a brief to a checked deliverable
What ChatGPT Work can do with files and apps, how local and cloud access fit together and how to measure the effort and quality of a real assignment.
AI Agents at Work: From Chatbot to Colleague
AI agents complete tasks rather than just answering questions: researching, booking, coding. Where agents work well today – and how to get started properly.
Context Engineering: Why Context Beats the Prompt
Context engineering decides AI quality, not the prompt. The three layers explained, RAG versus fine-tuning compared, and a seven-step guide to getting started.
The EU AI Act in November 2026: What changes on 2 December
Who explains a chatbot, who labels a deepfake, and which older systems face the December deadline? A practical guide to assigning AI Act duties at work.
AI Adoption in SMEs: From Pilot Project to Everyday Practice
Adopting AI in SMEs: the three-step approach of pilot area, tool plus workflow, and time tracking – with a worked example and the most common mistakes.
AI Adoption in Teams: Fears, Training, Culture
Most AI projects fail not because of the technology, but because people don’t use it. How leaders can take fears seriously and turn sceptics into experts.
Prompt Injection: How to Actually Secure AI Agents
Prompt injection in AI agents: how the attack unfolds step by step, which guardrails actually protect, and a checklist before going into production.