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
Group knowledge by product area, team, or AI application need.
Ownership
Assign accountable owners before knowledge reaches an AI.
Lifecycle status
Track draft, needs review, verified, and archived states.
Source links
Attach canonical URLs and files so reviewers know where truth lives.
Version history
See what changed and when a source stopped being AI-ready.
Imports
Bring existing docs and files into governed collections.
Search
Find documents, owners, and status across the workspace.
Relationships
Connect related policies, guides, and supporting sources.
Archive
Retire knowledge without letting stale content leak into answers.
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.
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Your AI is already talking.
Make sure it knows what it is talking about.