AI makes your company knowledge searchable – with source citations, permissions and an audit trail. Ask in natural language and get precise answers that point to the original document.
AI knowledge management is not just document search. It means: RAG systems with permissions, source citations and an audit trail – so your company knowledge becomes usable instead of gathering dust in folders.
Ask in natural language: "what is our holiday policy?" or "what does the contract with customer X say?" – AI answers directly, without you having to search through documents.
Every answer comes with a reference to the original document. Click the source and see the context. Traceable, verifiable, trustworthy.
Only authorised people get access to sensitive information. HR documents for HR only, financial data for Finance only. Governance from the start.
New staff find answers themselves – without constantly asking colleagues. Processes, policies, contacts – all instantly available.
Your specialists are no longer interrupted by routine questions. The knowledge is in the system – everyone can retrieve it themselves.
Documents are synced automatically. Changes in SharePoint, Confluence or your DMS are instantly available in the knowledge system.
Ask in natural language: "what is our holiday policy?" or "what does the contract with customer X say?" – AI answers directly, without you having to search through documents.
Every answer comes with a reference to the original document. Click the source and see the context. Traceable, verifiable, trustworthy.
Only authorised people get access to sensitive information. HR documents for HR only, financial data for Finance only. Governance from the start.
New staff find answers themselves – without constantly asking colleagues. Processes, policies, contacts – all instantly available.
Your specialists are no longer interrupted by routine questions. The knowledge is in the system – everyone can retrieve it themselves.
Documents are synced automatically. Changes in SharePoint, Confluence or your DMS are instantly available in the knowledge system.
The reality of knowledge: companies have terabytes of documents – process descriptions, policies, contracts, minutes, FAQs. But when someone has a question, they spend twenty minutes searching folders, ask three colleagues, or reinvent the wheel. A large share of company knowledge is never used.
The result: duplicated work, inconsistent answers, frustrated staff, long onboarding times. And when an expert leaves the company, their knowledge goes with them.
With AI knowledge management: staff ask in natural language and get precise answers instantly – with a reference to the original document. No searching, no asking, no uncertainty. The result: much faster information retrieval, consistent answers, relieved experts.
Nine core capabilities for usable, searchable company knowledge.
AI searches your documents, finds relevant passages and formulates a precise answer from them – based on your current knowledge, not on outdated training data. No hallucinations, only verified information.
Find information by meaning, not just keywords. "How do I request leave?" also finds documents that mention "time off" or "absence". Understanding instead of matching.
Ask as you would a colleague: "who is responsible for IT support?", "what are our payment terms?", "how does the approval process work?" – AI answers directly and clearly.
Each user only sees answers from documents they are authorised for. HR documents for HR only, financial data for Finance only, contracts for authorised people only. Existing permissions from SharePoint/Confluence are inherited.
Every answer references the original document, page and paragraph. Click the source and see the full context. No black box – you always know where the information came from.
All access is logged: who queried what and when? Which documents were referenced? Compliant for regulated industries.
SharePoint, Confluence, Notion, Google Drive, local file servers, databases, ticketing systems, intranet – all knowledge sources unified in one system. No more silos.
Documents are synced automatically – hourly, daily or on change. New documents are instantly searchable, deleted ones are removed.
PDFs, Word, PowerPoint, Excel, emails, Confluence pages, Notion databases, ticket histories – all formats are understood and made searchable.
| Aspect | Traditional search | With AI knowledge management |
|---|---|---|
| Time to find information | 15-30 minutes | Under 1 minute |
| Search method | Keyword search, clicking through folders | Natural language |
| Result | A list of documents | A direct answer with source |
| Permissions | Often unclear or bypassable | Strictly role-based |
| Currency | Often outdated documents | Synced automatically |
| Traceability | None | Full audit trail |
| Onboarding of new staff | Weeks to months | Productive immediately |
From HR to IT – searchable knowledge for every department.
From analysis to live operation – typically within a few weeks.
We identify relevant knowledge sources: SharePoint, Confluence, DMS, file servers. Which documents are important? Which questions are asked often? Which permissions apply?
Building the RAG system, connecting the sources, indexing the documents. The permission concept is implemented. First tests with example questions.
Optimising answer quality, adapting to your terminology and domain language. Validation with real user questions. Source citations are checked.
Productive launch with selected user groups. Training for your team. Gathering feedback and optimising.
Gradual expansion to further sources and user groups. Continuous improvement based on usage data and feedback.
The possibilities are many: an internal knowledge base, a customer FAQ, process documentation, an onboarding assistant. But which solution fits your company? We offer no theoretical lectures – instead, a hands-on assessment of where you stand.
3 hours • remote or on-site • incl. preparation
Clarity on how a RAG system can make your knowledge usable.
Answers to the most important questions.
RAG (Retrieval Augmented Generation) combines document search with AI text generation. The system searches your knowledge base, finds relevant passages and formulates a precise answer from them – with a source citation to the original document. That way you get current, verifiable answers instead of AI hallucinations.
Classic search finds documents by keyword – you get a list and have to read it yourself. AI knowledge management understands meaning and context: you ask "what is our holiday policy?" and get a direct answer with a reference to the HR policy.
Practically all of them: PDFs, Word, PowerPoint, Excel, emails, Confluence, SharePoint, Notion, intranet pages, databases, ticketing systems. We assess up front which sources make sense to connect and how synchronisation should work.
The system maps role-based access: each user only sees answers from documents they are authorised for. HR documents for HR only, financial data for Finance only. In addition: an audit trail for compliance and traceability.
That depends on the update cycle. We can sync documents automatically (hourly, daily) or re-index on change. For critical documents we recommend real-time sync. That way answers stay current with no manual effort.
The system honestly admits when it cannot find suitable information – instead of hallucinating. It can then escalate to a human or point to related topics. Transparency matters more than a wrong answer.
A pilot with one document source can be live in a few weeks. More complex setups with multiple sources, permissions and integrations take a few months. We often start with one area (e.g. HR knowledge) and expand step by step.
"A company's most valuable asset is its knowledge. But only if it can be found. AI finally makes company knowledge usable."
The KIKOM team around Markus Kirchmair supports companies in implementing AI-assisted knowledge management – from source analysis and permission concepts through to a productive RAG system. The focus: knowledge that answers, not just gets archived.
AI fundamentals, tools and regulation explained clearly.
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