Every AI deserves a source of truth

Wiki Management for AI Applications.

Manage the knowledge, permissions, and proof behind every AI answer.

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Give every AI the right source, the right boundaries, and a reason to be trusted.

The problem

Your AI does not need more documents. It needs rules.

Most AI tools can retrieve information. Wiki decides whether that information is reviewed, current, allowed, and safe to use in the first place.

Without Wiki compared to with Wiki

Without Wiki

  • Scattered docs across folders and tools
  • Stale pricing pages still indexed
  • Internal policy leak risk
  • Chatbot guessing when sources disagree
  • Different answers from different agents

With Wiki

  • Owned knowledge with clear status
  • Review dates and verification workflows
  • Source requirements for every answer
  • AI boundaries per application
  • Citations customers can inspect
  • Publishable docs from approved sources
How Wiki works

Every answer your AI gives has a supply chain.

Most 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.

  • Verified before it ships
  • Scoped per application
  • Cited on every answer
  • Source changes reviewed before reuse
Put your AI on the record

Eight steps up there. One system underneath.

wiki / knowledge-story01 / 08

Your AI is only as good as what it knows.

The system

One verified source. Every AI.

Four connected disciplines that turn scattered company knowledge into something an AI application can be held accountable to.

Product pillars

Verified Knowledge

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 knowledge

AI Permissions

Your AI gets access. Not a master key.

Decide exactly which collections, policies, and documents each AI application can use.

Explore ai permissions

Answer Controls

Bring receipts before your AI speaks.

Test answers against approved sources, require citations, and catch missing knowledge before customers do.

Explore answer controls

Hosted Docs

Write it once. Publish it everywhere.

Turn approved knowledge into documentation your customers can search and your AI can safely answer from.

Explore hosted docs
The long read
Featured essay

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 / essay07 sections

Wiki Editorial Team

The product story we send every buyer, operator, and engineer before they evaluate models or prompts.

AI Knowledge Managementwiki managementAI knowledge management

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 reading

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.

Working definition from the essay

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. 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 sections

Tap to see what the essay covers.

  1. 01The quiet AI knowledge problem
  2. 02Why a generic wiki is not enough
  3. 03Five layers of Wiki Management
  4. 04What happens when you skip a layer
  5. 05Examples across AI applications
  6. 06How Wiki differs from other tools
  7. 07A practical starter framework

The framework in one spine:

Ownership

Accountability before AI use

Verification

Draft to AI-ready gate

Permissions

Scoped access per application

Answer tests

Regression before customers

Docs publish

Approved knowledge goes live

Swipe the framework

Interactive demo

Watch a policy change become a trustworthy answer.

Fixture data for a Wiki workspace. Explore each tab or run the full scenario to see verification, permissions, citations, docs publishing, and Knowledge Health work together.

Interactive product demo
DemoProduct demo
Knowledge sources in the demo workspace
SourceOwnerStatusCollection
annual-plan-refund-policy.mdDRDana ReeveNeeds reviewPricing Policies
refund-policy.mdSOSam OrtizVerifiedCustomer Support
internal-pricing-note.mdDRDana ReeveBlockedInternal Ops

Recent update

Refund window updated from 14 to 30 days for annual plans.

Next review Updated 9:12 AMVerified

Example workspace data. Not a customer outcome.

Knowledge health

Your AI knowledge is either healthy or quietly becoming a liability.

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.

Knowledge health
42
Verified sources
3
Documents need review
1
Conflicting policy
12
Unanswered questions

Example workspace data.

Example workspace data

Hosted docs

Your knowledge base should not rot in a folder.

Publish documentation your customers can search, your team can trust, and your AI can answer from.

Public documentation
Approved docs
Publish gate
docs.company.com
Custom domainsSearchPrivate or public accessPublish from verified knowledgeCited answers from approved sourcesSEO-ready publishing
Trust and permissions

Different AI. Different boundaries.

Keep public AI public. Keep internal AI useful. Keep sensitive knowledge where it belongs.

Permission matrix
Access matrix showing which knowledge each AI application can use
AI applicationProduct DocsPricing PoliciesCustomer SupportInternal OpsAdmin NotesPublic 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

  • Allowed
  • Citation required
  • Restricted
  • Unavailable
Use cases

Different AI surfaces. One governed source.

Wiki helps teams control what each AI application may know, cite, and say across customer-facing and internal experiences.

Use cases

Customer-facing chatbots

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.

AI support assistants

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.

AI sales assistants

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.

Internal copilots

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.

Documentation assistants

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.

AI-enabled product experiences

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.

Pricing

Give your AI a source of truth.

Start with one governed answer. Scale into a system that keeps every chatbot and internal AI on the same verified sources.

Pricing plans

Starter

$29

per month

For one team building a source of truth for one AI experience.

  • 1 workspace
  • 3 team members
  • 3 knowledge collections
  • 250 documents
  • 1 AI Application
  • 1 Docs Site
  • 250 Answer Playground runs per month
  • 25 evaluation test cases
  • 1 custom docs subdomain
  • Basic docs analytics
  • Standard support
Start free trialSubscribe

14-day free Starter trial. No card required. Or skip the trial: Subscribe to Starter at $29/month. Billing starts today.

Pro

Best for customer-facing AI

$99

per month

For teams managing customer-facing AI, answer testing, and documentation.

  • 3 workspaces
  • 10 team members
  • 20 knowledge collections
  • 2,500 documents
  • 5 AI Applications
  • 3 Docs Sites
  • 2,500 Answer Playground runs per month
  • 250 evaluation test cases
  • 3 custom docs subdomains
  • Advanced docs analytics
  • Advanced policy templates
  • Docs Assistant
Start free trialSubscribe

14-day free Starter trial. No card required. Or skip the trial: Subscribe to Pro at $99/month. Billing starts today.

Team

$249

per month

For multiple AI Applications, Docs Sites, and governed knowledge workflows.

  • 10 workspaces
  • 30 team members
  • Unlimited collections (fair use)
  • 15,000 documents
  • 20 AI Applications
  • 10 Docs Sites
  • 15,000 Answer Playground runs per month
  • 2,000 evaluation test cases
  • 10 custom docs subdomains
  • Enhanced audit retention
  • Enhanced analytics
  • Team support
Start free trialSubscribe

14-day free Starter trial. No card required. Or skip the trial: Subscribe to Team at $249/month. Billing starts today.

FAQ

Straight answers about Wiki and AI knowledge.

Clear definitions, no hype, and no promises the product cannot support.

Frequently asked questions

Before your AI starts freelancing

Your AI has answers. Does it have receipts?

25 checks for the sources, permissions, claims, citations, and change controls behind customer-facing AI.

Useful. Short. No weekly nonsense.

Your AI is already talking.

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.