Digital knowledge assistant for companies with source-backed answers
Instead of manually searching several repositories, employees use one question interface with traceable answers. Freshness, permissions and feedback become part of the system.
Common starting point
- Employees cannot find policies and knowledge quickly
- Answers depend on individual knowledge holders
- Public AI tools do not know internal sources
Target outcome
- One search and question layer across approved knowledge
- Citations and feedback for stronger reliability
- Integration with intranet, Teams or existing applications
Approach
- Define sources, audiences and permissions
- Create representative questions and quality criteria
- Evaluate retrieval and answer generation
- Monitor usage, gaps and source freshness
Related services and projects
Frequently asked questions
What is a digital knowledge assistant?
It answers questions from approved company documents and cites the source. That is a permission-aware RAG system, not a public chatbot.
Is this just a chatbot?
No. Chat is only one interface. The important system includes ingestion, permissions, retrieval, citations, evaluation and integration into existing work.