AI Academy 4. Mai 2026 19 Min. Lesezeit Copilot-Schulung im Unternehmen Is it worth it and what should you look out for? Robin Reuschel Experte für KI-Strategie & Organisation The short answer The short answer External Copilot training is worthwhile if you want to achieve three goals: (1) Increase usage
AI can prepare tickets, orders and checks today. The prerequisite? AI process automation. Many companies have experimented with AI: Texts, summaries, first assistants. Now it is becoming clear whether AI is really taking work out of processes or just creating new loops. Because as soon as AI not only formulates
Today, marketing teams can create visual worlds in hours that used to require shoots, agencies and long coordination loops. This is both an opportunity and a risk. The opportunity: faster campaigns, more variants, better personalization.The risk: “AI look” instead of brand image, shadow use without approval and legal uncertainty, which
AI has arrived in marketing, but unfortunately often as a wild zoo of individual tools, test accounts and “prompt snippets” in Slack. The result is rarely strategic: more output, but no clean quality, no repeatability, no protection against data and reputational risks. If you want to use AI tools in
AI tools are live in many companies faster than any other IT innovation in recent years. One click in the browser, an add-in in Office, a new SaaS for the team and you’re up and running. But the real questions rarely come before the go-live, but afterwards. Where does our
AI Tools & Tutorials 18. November 2025 18 Min. Lesezeit Prompting Guide für Unternehmen How to get better AI results with clear prompts Robin Reuschel Experte für KI-Strategie & Organisation The short answer The short answer Prompting is not a “nice-to-have” in the company, but a core competence: those who
AI has been around for a long time in many companies, just not officially. Employees are trying out tools such as ChatGPT or Gemini to write emails faster, revise texts or get help with research. This is understandable, as it saves time. At the same time, however, nobody knows exactly
Many teams are experimenting with AI, but the real bottleneck remains the connection to real data and processes. Without a standardized interface, a patchwork of proprietary integrations quickly emerges, which are expensive, involve risks and remain difficult to maintain. The model Context Protocol, MCP for short, addresses precisely this gap.
Your data has long been working for you, the question is: For whom else? AI is rolling out at high speed in many companies, from automation to new analysis models. Expectations are high, the proof of concept is successful, but what is missing is reliable transparency. Where is the data
AI strategy: Successfully into the future with artificial intelligence Artificial intelligence (AI) is fundamentally changing companies: from automation in production and predictive analyses in marketing to the development of personalized services – AI is revolutionizing industries worldwide and offers enormous potential for efficiency gains and new business opportunities. However, these
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