Every AI deserves a source of truth
Manage the knowledge, permissions, and proof behind every AI answer.
Give every AI the right source, the right boundaries, and a reason to be trusted.
Most AI tools can retrieve information. Wiki decides whether that information is reviewed, current, allowed, and safe to use in the first place.
Customer question
Can I get a refund after 30 days?
“Refunds are usually possible, it depends on your situation.”
Unsupported answerRefunds are available within 30 days of purchase. After 30 days, open a billing request and the team will review it within two business days.
refund-policy.md, reviewed this quarterMost teams never see theirs. Wiki runs it in the open. Sources come in, get verified, get scoped, and ship out to every chatbot, copilot, and help center you own. When a source changes, nothing updates by accident.
Eight steps up there. One system underneath.
Four connected disciplines that turn scattered company knowledge into something an AI application can be held accountable to.
Give your AI sources that earned the right to speak.
Track ownership, review dates, source links, status, and history before knowledge reaches an AI.
Explore verified knowledgeYour AI gets access. Not a master key.
Decide exactly which collections, policies, and documents each AI application can use.
Explore ai permissionsBring receipts before your AI speaks.
Test answers against approved sources, require citations, and catch missing knowledge before customers do.
Explore answer controlsWrite it once. Publish it everywhere.
Turn approved knowledge into documentation your customers can search and your AI can safely answer from.
Explore hosted docsFeatured essays
June 15, 2026 · 14 min read
A traditional wiki stores knowledge. Wiki Management for AI Applications decides what your AI is allowed to know, cite, and say.
Wiki Editorial Team
The product story we send every buyer, operator, and engineer before they evaluate models or prompts.
Preview
Most teams do not fail at AI because the model is weak.
They fail because nobody owns the documents, nobody has reviewed them lately, and nobody permissioned them for the audience in front of the chatbot.
Continue readingWiki Management for AI Applications governs what AI can use, who can see it, whether it is current, and whether an answer can be trusted.
Wiki Management for AI Applications governs what AI can use, who can see it, whether it is current, and whether an answer can be trusted.
A folder of PDFs is storage. A verified collection with an owner, a review date, an access policy, and a test case for the refund question is managed knowledge. This essay walks through why that distinction matters before you pick a model, tune retrieval, or ship another chatbot.
A folder of PDFs is storage. Managed knowledge has owners, review dates, access policies, and answer tests. This essay explains why that distinction matters before you pick a model or ship another chatbot.
Inside the essay
07 sectionsTap to see what the essay covers.
Inside the essay
The framework in one spine:
Swipe the framework
Wiki scores the state of your knowledge continuously: what is verified, what is drifting, what conflicts, and what your AI is being asked that nobody has answered.
Example workspace data.
Example workspace data
Publish documentation your customers can search, your team can trust, and your AI can answer from.
Keep public AI public. Keep internal AI useful. Keep sensitive knowledge where it belongs.
| AI application | Product Docs | Pricing Policies | Customer Support | Internal Ops | Admin Notes | Public Docs |
|---|---|---|---|---|---|---|
| Public Chatbot | Allowed | Citation required | Allowed | Unavailable | Unavailable | Allowed |
| Support Assistant | Allowed | Citation required | Allowed | Restricted | Unavailable | Allowed |
| Sales Assistant | Allowed | Citation required | Citation required | Restricted | Unavailable | Allowed |
| Internal Copilot | Allowed | Allowed | Allowed | Allowed | Restricted | Allowed |
| Admin Agent | Allowed | Allowed | Allowed | Allowed | Allowed | Restricted |
| Docs Assistant | Allowed | Citation required | Allowed | Unavailable | Unavailable | Allowed |
Swipe to see all columns
Wiki helps teams control what each AI application may know, cite, and say across customer-facing and internal experiences.
Public chatbots guess when product knowledge is scattered or stale.
Answer from approved product knowledge. Cite sources. Refuse when the answer is not documented.
Customers get consistent, source-backed answers with clear boundaries.
Support AI mixes public help content with internal escalation notes.
Separate collections, require citations for billing answers, and block internal-only sources from public channels.
Agents get useful context without leaking restricted knowledge.
Sales AI invents discounts, guarantees, or roadmap promises.
Use approved pricing and positioning. Keep internal comp notes and draft policies restricted.
Revenue teams move faster without making promises the business cannot keep.
Copilots either see everything or nothing useful.
Give your team useful context without opening every internal folder. Apply role-aware policies per application.
Employees get governed answers from the knowledge they are allowed to use.
Docs assistants answer from outdated pages that never went through review.
Publish from verified sources, track publishing health, and require citations in assistant responses.
Public docs and assistant answers stay aligned with approved knowledge.
In-product AI features ship faster than the knowledge behind them.
Connect product experiences to verified collections, test cases, and permission policies before launch.
Product teams ship AI features with a governed source of truth behind them.
Start with one governed answer. Scale into a system that keeps every chatbot and internal AI on the same verified sources.
$29
per month
For one team building a source of truth for one AI experience.
$1 today for 14 days, then plan price. Or Pay $29/month starting today (no trial).
$99
per month
For teams managing customer-facing AI, answer testing, and documentation.
$1 today for 14 days, then plan price. Or Pay $99/month starting today (no trial).
$249
per month
For multiple AI Applications, Docs Sites, and governed knowledge workflows.
$1 today for 14 days, then plan price. Or Pay $249/month starting today (no trial).
Clear definitions, no hype, and no promises the product cannot support.
Before your AI starts freelancing
25 checks for the sources, permissions, claims, citations, and change controls behind customer-facing AI.
Make sure it knows what it is talking about.
Wiki · The source-of-truth layer for AI
Wiki. Wiki Management for AI Applications. Every AI deserves a source of truth. Answers with receipts. Control what your AI knows. The source of truth for AI applications. Verified knowledge for AI. Source-backed answers. Permission-aware AI. Keep every AI on the same page. Manage the knowledge behind the answer.
Fixture data for Nintendo, a demo company. Explore each tab or run the full scenario to see verification, permissions, citations, docs publishing, and Knowledge Health work together.
