Turn scattered information into managed AI knowledge.
Collections, ownership, lifecycle status, source links, version history, imports, search, relationships, and archive controls give your team one place to prepare knowledge for AI use.
From scattered docs to governed collections.
Wiki turns the junk drawer your AI reads from into organized collections with owners, lifecycle states, and search, so you know exactly what your AI is allowed to use.
- One workspace for every source
- Owners on every document
- Lifecycle status built in
- Search across collections
Five steps to a knowledge base your AI can trust.
What knowledge covers in Wiki.
Collections
Ownership
Lifecycle status
Source links
Version history
Imports
Search
Relationships
Archive
Explore the rest of the product.
Verification
Unverified knowledge never reaches your AI.
Permissions
Your AI gets access. Not a master key.
Answers
Test the answer before it reaches the customer.
What Is Wiki Management for AI Applications?
Wiki Management for AI Applications governs what AI can use, who can see it, whether it is current, and whether an answe...
How to Build an AI Knowledge Base for Production
A production AI knowledge base is governed, verified, permissioned, and test-covered. This guide walks through the six g...
Your AI is already talking.
Make sure it knows what it is talking about.