How AI is rethinking our knowledge management – and how you can benefit from it.
Wissen ist in den meisten Unternehmen kein Engpass mehr – aber der Zugang dazu schon. Prozesse, Dokumentationen, Erfahrungen – alles liegt irgendwo. Verteilt auf E-Mails, Wikis, Netzlaufwerken oder in den Köpfen der Mitarbeitenden. Das Problem: Wer etwas sucht, findet oft… nichts. Oder erst nach Stunden.
The smart use of AI is changing precisely that. Modern knowledge systems connect artificial intelligence with the reality of your company. They are more than just a search engine – they understand context, suggest content, automatically structure knowledge, and help keep it up-to-date.
What does that mean specifically?
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Less search and documentation effort
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Faster insights thanks to smart, context-based search
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Fewer internal support requests
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Knowledge loss due to fluctuation? Significantly reduced.
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E-learning that virtually updates itself.
AI turns data into usable knowledge. It finds answers when you need them—and it even helps train new employees faster without requiring anyone to spend hours typing explanations.
The key: From the data desert to the knowledge network
With generative AI like Notivo Knowledge management will no longer be a chore, but a true efficiency booster. Information that currently lies unused in meetings, emails, or local files will be centrally accessible. And AI helps maintain it.
Not through more work, but through less.
Notivo suggests which content belongs in the wiki. It automatically creates summaries, intelligently links knowledge, and helps you find answers faster – without constant manual documentation.
But: without culture there is no benefit.
AI doesn't work in isolation. It requires a knowledge culture in which sharing and maintaining knowledge becomes a matter of course – and that's precisely what we support. With software, with training, with real support.
Conclusion:
Knowledge is power. But only if you find it. Those who take the step of bringing AI into knowledge management today are laying the foundation for more efficient processes, more resilient teams, and less stress in everyday life.
👉 Curious how this your company can look like?
Let's talk. We'll show you how to future-proof your knowledge management with Notivo and generative AI.
Overview – Knowledge management with generative AI and RAG
| 🗂️ Source of knowledge | 🔄 Process step | ⚙️ Technology / Method | 💡 Benefit |
|---|---|---|---|
| 📄 Company documents 🗄️ databases 🌐 External sources |
1️⃣ Extraction 📑 Automatic document extraction with LLMs |
LLM-based AI models | 🔸 Single Point of Truth 🔸 Less manual effort |
| 2️⃣ Reorganisation & Metadaten 🗃️ Structuring, versioning, enriching |
Metadata management Knowledge graph |
🔸 More usable data 🔸 Basis for smart search |
|
| 3️⃣ Classification 🗂️ Automatic grouping (e.g. contracts, reports) |
AI-supported classification | 🔸 Fewer internal support requests | |
| 4️⃣ RAG workflow 🔍 Kontextuelle Suche & Antwortgenerierung |
📦 Embeddings 🔗 Vector database 🔎 Retrieval Engine 💬 LLM Prompt |
🔸 Faster time to insight 🔸 Faster creation of e-learning formats |
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| 🤖 Chatbot & Assistenten Research, support, analysis, image creation |
RAG + LLM + knowledge graph combined | 🔸 “Talk with your data” 🔸 Automated reports and documentation |
