Unverified knowledge never reaches your AI.
Review queues, manual source checks, approval workflows, and AI-ready states keep draft and unreviewed content out of production AI so every answer starts from knowledge someone signed off on.
Unverified knowledge never reaches your AI.
Review queues, source checks, and approval workflows keep draft and unreviewed content out of production AI — so every answer starts from knowledge someone signed off on.
- Review queues with owners
- Source link validation
- Approval workflows
- AI-ready states only
Five gates between raw content and your AI.
What verification covers in Wiki.
Review queues
See every document waiting for accountable approval before AI use.
Source checks
Check sources against canonical URLs. Pro and above include change detection, diffs, and a Source Maintenance Inbox.
Approval workflows
Route documents through reviewers with sign-off and audit trails.
AI-ready states
Only verified collections enter the knowledge your AI retrieves from.
Quarantine controls
Draft and expired content stays blocked until explicitly approved.
Verification cadence
Set review dates so owners know when knowledge should be checked again.
Reviewer assignment
Assign domain experts who own the truth for each collection.
AI-ready gate
Unverified knowledge stays out of retrieval. Dedicated release gates are planned.
Explore the rest of the product.
Knowledge
Turn scattered information into managed AI knowledge.
Permissions
Your AI gets access. Not a master key.
Answers
Test the answer before it reaches the customer.
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Before an AI uses a document or a docs site publishes it, verify ownership, source, freshness, permissions, audience, ci...
Your AI is already talking.
Make sure it knows what it is talking about.