Company knowledge systems: one governed answer layer for staff and agents, every answer sourced
A governed knowledge layer that gives agents and staff the same accurate, current answers from your documents and data.
Typical balance
35 human : 65 AI
AI-run, reviewed. Varies by engagement.
Your people keep deciding what counts as authoritative, setting access rules and keeping content owners accountable.
AI takes on indexing and retrieving across sources, answering with citations and spotting stale or conflicting content.
What is company knowledge systems?
A company knowledge system gives staff and AI agents the same accurate, current answers from your documents and data, with every answer linked to its source and access controlled by permissions. It is usually built with retrieval-augmented generation (RAG), which lets a model answer from your content instead of from memory.
Also known as enterprise knowledge base, RAG system, retrieval-augmented generation, AI knowledge management and internal AI search
Who needs company knowledge systems?
Companies where answers live in people's heads, old PDFs and several shared drives, and where new staff take months to find their way around.
A good fit when: answers live in people's heads, old PDFs and three different drives.
How company knowledge systems works
Sources
We agree which content is authoritative and who owns keeping it current.
Index
Documents and data are indexed with the same permissions they already have.
Answer
An assistant answers questions with citations, so people can check the source.
Maintain
Stale and conflicting content is flagged to its owner.
What you get
- Connected knowledge base
- Retrieval pipeline with permissions
- Citation-backed assistant
- Content health report
How long does company knowledge systems take?
A first working version in four to six weeks.
Common questions about company knowledge systems
What is retrieval-augmented generation (RAG)?
RAG is a method where an AI system first searches your own documents for relevant passages, then writes an answer based on them. It reduces made-up answers and lets every answer cite its source.
Can staff see documents they are not allowed to see?
No. A properly built knowledge system respects the same permissions as the original files, so people only get answers from content they already have access to.
How do you stop the AI from giving outdated answers?
Each source has an owner, content health is monitored, and answers show their source and date so people can judge them.
