Stale docs are an AI outage waiting to happen.
Review cadence, source monitoring, and Knowledge Health keep expired pages out of customer-facing answers.
Stale docs become wrong AI answers at scale. Wiki tracks review cadence, source changes, and knowledge health before AI reuses a page.
Old pages become fluent wrong answers.
A policy that was true in March becomes a hallucination generator in September if nobody reviewed it.
RAG will happily retrieve the expired page because it still matches the question.
You need ownership, review dates, change detection, and a path to block AI use until the page is fixed.
How to keep documentation AI-safe
Treat freshness as a control, not a hope.
- Step 1
Assign owners and review intervals
High-risk policies need shorter cadences than evergreen FAQ.
- Step 2
Monitor source URLs
When the public page changes, review before AI reuse.
- Step 3
Block stale pages from AI
Unverified or overdue documents should not stay eligible for answers.
- Step 4
Watch Knowledge Health
A workspace score shows whether the corpus is actually ready.
How Wiki reduces stale-doc AI risk
Health, monitoring, and verification in the product.
Knowledge Health
Source maintenance inbox
Verification workflows
Questions teams ask first.
- How often should AI sources be reviewed?
- It depends on risk. Refund and pricing pages need frequent review. Evergreen tutorials can move slower. Wiki lets you set cadence per document.
- What if a source URL changes silently?
- Source monitoring and the maintenance inbox surface material diffs for Pro and above.
- Can stale docs stay searchable for humans but blocked for AI?
- Yes. Verification and AI-ready states control retrieval eligibility separately from human browsing.
Essays, tools, and the product.
From the blog
Why Stale Documentation Is an AI Risk, Not Just a Support Problem
Outdated help docs used to frustrate one customer. AI can repeat them instantly, confidently, and at scale.
How to Keep Customer-Facing AI Accurate Without Constant Retraining
Most product and policy changes should flow through reviewed source updates, permissions, and answer tests, not model retraining cycles.
The AI Knowledge Base Checklist: 25 Things to Verify Before You Publish
Before an AI uses a document or a docs site publishes it, verify ownership, source, freshness, permissions, audience, citations, and escalation behavior.
Tools
Your AI is already talking.
Make sure it knows what it is talking about.