Service · AI knowledge management
Ask your company a question — and get an answer within seconds, drawn from your own documents, e-mails and systems, with traceable sources. GDPR-compliant, respecting existing access rights.
Scattered filing systems become one digital memory.
The problem
Almost every company holds valuable knowledge: in documentation, project files, proposals, e-mails — and above all in its employees’ heads. The problem is not that this knowledge is missing. The problem is that it cannot be found at the decisive moment.
A knowledge system changes that: you ask like you would ask an experienced colleague — and get an answer with evidence.
Use cases
A knowledge system helps wherever the same questions are asked again and again — and the answers are scattered across filing systems, inboxes and heads.
New employees ask directly about processes, products and past projects — instead of spending months learning who knows what. And the experience of long-serving employees is preserved, even when they leave.
Technicians ask about a fault pattern, machine or spare-part number — and receive manuals, previous service cases and technical notes in a single answer.
Which solution was offered to a similar customer? Which wording has been approved? A targeted entry point instead of folder archaeology.
“How has the margin of this product group developed?” Structured data from databases and systems can be included as well — for first answers without building a dedicated report.
The best entry point is a clearly scoped use case — say, the service documentation of one department. Within a few weeks you can see whether the answers are precise and how much time is saved.
Security & substance
The goal is not to load all documents into a chatbot. A robust knowledge system has to understand, search precisely, cite its evidence — and respect who is allowed to see what.
Clearly defined, approved knowledge sources instead of a wild document import — the system knows what it stands on.
By meaning and by exact terms such as article or contract numbers — both, not just “semantically close”.
Existing roles and access restrictions stay in force: every employee works only with the knowledge approved for them.
Operation in a protected EU cloud environment (e.g. AWS Bedrock Frankfurt) or entirely on your own infrastructure.
The AI model is only one part of the solution — what matters is how reliably it can access your knowledge.
What goes into the system
A knowledge system is only as good as its connections. These building blocks are included as standard with us.
PDF, Office, manuals, contracts, project files
inboxes, SharePoint, network drives, wikis
databases and systems for questions about numbers
existing roles and approvals stay intact
every answer points to its documents
ask by keyboard or by voice
operation matched to your security requirements
one scoped use case, productive in weeks
And the memory does not go stale: new documents, reports and e-mails flow in continuously — the system grows with your company.
Technology
Under the hood is retrieval-augmented generation (RAG): your content is prepared and indexed; for every question the system retrieves the relevant passages and composes an evidence-backed answer with Anthropic Claude.
Operation follows the sensitivity of your data: in the EU region (e.g. AWS Bedrock Frankfurt) or fully local on your infrastructure — your data never leaves the building.
Not necessarily. Depending on sensitivity we run the system in an EU cloud region (e.g. AWS Bedrock Frankfurt) or fully local on your infrastructure — your data never leaves the building.
Every answer cites the source documents it came from. Each statement can be verified — a good answer does not just sound convincing, it is backed by evidence.
No. Existing roles and access rights stay intact. An employee only gets answers from sources that have been approved for them.
No. We start with a clearly scoped, already usable set — say, the service documentation of one department. Clean-up can then happen exactly where the system makes gaps visible.
Yes. The system searches by meaning and by exact terms — article numbers, contract numbers, internal abbreviations. If needed, we register your specialist vocabulary explicitly.
A clearly bounded use case — say, the service documentation of one department — is typically usable within a few weeks. After that we extend sources and areas step by step.
Getting started & contact
That is exactly where we start: one scoped use case, productive within a few weeks, with a measurable result. Tell us where knowledge is being searched for in your company — and we will tell you honestly whether a knowledge system is worth it.
AI knowledge management is a service of Pabeschitz Computer Consulting GmbH. Operation either in an EU cloud region or fully on-premise; existing role and rights concepts stay intact.
