Artificial Intelligence has long been a staple of the software industry, and interest is now surging in procurement and engineering. After all, AI promises answers in seconds, saving time and simplifying processes. But therein lies the problem.
Many decision-makers rely on freely available AI tools. They input confidential queries—product data, delivery terms, technical specifications—and receive seemingly precise answers. However: Where does this information come from? Who verifies its accuracy? And what happens to the data being entered?
The reality often differs from what the sleek interface suggests:
- Data is processed externally – often outside of Europe.
- Answers are based on open sources – not on your specific expertise.
- Data Privacy? Lacks transparency.
- Citations? Nowhere to be found.
The Price of Poor Answers: Invisible Costs and Real Risks
A real-world example: A procurement team uses a free AI to review contract details. The AI provides an answer—professionally phrased and convincing. However, it is based on an outdated online document. The result: Procurement relies on a clause that has long been invalid.
Or in engineering: A developer searches for the limit values of a component and receives a figure that does not come from internal specifications, but from a manual for a similar, yet different, product found on the web.
The common thread: The error is only noticed when it is already too late. Such scenarios are not isolated incidents. They highlight the gap between AI functionality and corporate responsibility and raise a simple question: What is the use of AI research if it fails to provide reliable, verifiable data?
Closed Knowledge Spaces Instead of Data Roulette
One solution lies in the concept of "document-based AI systems." These tools do not access the internet; they work exclusively with proprietary company information. This reduces errors, protects data, and ensures reliable results—complete with source citations.
Imagine a technical chatbot that works solely with your manuals, product data, and internal guidelines. Every answer is based on a document you control. It is GDPR-compliant, traceable, and legally secure.
Such a system is not a toy; it is a tool. It transforms the role of the employee from a "searcher" into a confident "solution finder."
KLIO: Making AI Knowledge Accessible and Secure
KLIO is exactly this type of solution. Developed by classix.de, the system functions like a chat but accesses only your own documents. Answers are provided with source citations—pulled directly from your verified knowledge base.
Whether in technical support, assembly, sales, or procurement—wherever reliable information is required—KLIO reduces search time, errors, and uncertainty.
The system runs in isolation, available either on-premise or in a German cloud. It can be integrated quickly and requires no third-party providers. Your data stays with you. Period.
FAQ on KLIO
How does KLIO work in practice?
The AI chat analyzes your own documents and provides answers in natural language—including direct citations from the original text.
What is the advantage over public AI services?
You maintain total control. No data leaks, no hallucinations, and no "internet noise."
Is it GDPR-compliant?
Yes. KLIO can be operated in complete isolation—including on-premise. Your data never leaves your system.
Who is this system for?
It is ideal for mid-sized companies in technical, regulated, or documentation-heavy industries—essentially anywhere knowledge must be retrieved precisely, quickly, and securely.
KLIO by Software Factory classix – so that answers are not just fast, but right.