Our Insights on Artificial Intelligence, RPA, and Future Technologies
Artificial intelligence, robotic process automation, and other future technologies are constantly evolving. Their complexity is steadily increasing, and it is becoming increasingly difficult to keep track of these technologies.
We help you understand the most important technologies and trends.
AI Organization & Transformation 2. Dezember 2025 11 Min. Lesezeit KI im HR What really works and what you should leave alone Oliver Breucker Experte für KI-Transformation & Digitale Zukunftstechnologien The short answer The short answer AI in the HR worthwhile itself, when You Use Cases along of the Employee
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 has been around for a long time in many companies. But often without a clear plan. Teams are testing Copilot, ChatGPT and other AI tools, the first prototypes are running in specialist departments and some decisions are already being supported by algorithms. At the same time, the pressure is
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
Chatbots are now everywhere: on websites, in customer portals, in apps. Almost all of us have seen a small chat window asking: “How can I help you?” Nevertheless, many companies still have an uneasy feeling. Is this really good customer service or just another digital filter in front of the
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 companies have launched their first AI pilots. Copilot is being tested, teams are experimenting with prompts and different AI tools. At the same time, it often remains unclear how these individual activities can be turned into a structured system of AI training, AI training courses, workshops and longer course
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.
Generative search is quietly but fundamentally changing the rules of the game. ChatGPT, Gemini and other systems no longer provide classic link lists, they respond directly. Often based on just a few sources classified as particularly trustworthy. The central question is therefore no longer: How well do I rank?but: Is
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 governance in the company: The practical guide AI is already in use in many teams, but often without uniform rules. This is exactly where AI governance comes into play: who is allowed to do what, what data is permitted, how do we document decisions? Without this, it gets expensive:
AI agents Technologies, trends and transformations generated by Midjourney Artificial intelligence is no longer a topic for the future – it is already changing business models, processes and our everyday interaction with technology. But a new development push is overshadowing previous systems: the rise of so-called AI agents. AI agents
