Internal Knowledge Base
Company knowledge instantly available, for everyone on the team
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The Challenge
Valuable company knowledge is scattered across documents, wikis, and emails. Employees spend hours searching for the right information.
Our Solution
An AI agent searches all internal knowledge sources, understands the context of the question, and delivers precise answers with source references, in seconds instead of hours.
In this use case, you build an AI agent that acts as a central knowledge source for your company. The agent connects to documents, wikis, Confluence, SharePoint, and internal databases, understands natural language questions, and delivers well-founded answers with direct references to the original source. This accelerates onboarding, democratises expert knowledge, and boosts productivity across the entire organisation.
Target Audience
Companies looking to make internal knowledge more accessible and improve knowledge transfer between teams
Key Features
Instant answers to internal knowledge questions
Automatic linking to original sources and documents
Seamless integration with Confluence, SharePoint, Notion, and more
Accelerated onboarding of new employees
Your Benefits
Up to 50% less time searching for internal knowledge
Faster onboarding of new team members
Less knowledge loss during employee turnover
Expected Results
Less time searching for information
From concept to productive agent
Implementation
Timeline
Implementation Steps
Connect knowledge sources: The agent is linked to documents, wikis, and databases
Indexing and understanding: Content is processed and made semantically searchable
Answer questions: Employees ask questions in natural language and receive precise answers with source references
Ready to implement this use case?
Let's discuss how this AI use case can transform your business
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The DatenLabel project is funded within the EXIST programme by the Federal Ministry for Economic Affairs and Climate Action and the European Social Fund.