Knowledge Governance Audit: 7 Questions for Enterprise AI
7 questions to surface the knowledge governance gaps your AI infrastructure is silently working around.
What does bad knowledge look like? →Do you know which documents are currently authoritative — and which are superseded?
The 7 Knowledge Governance Questions
The audit above walks through these one at a time. Here they are in full — each question, and the blind spot it exposes in AI infrastructure that runs on ungoverned knowledge.
Do you know which documents are currently authoritative — and which are superseded?
Without version authority, your AI may serve outdated policies and neither you nor the user will know until the damage is done.
When two documents disagree, is there an explicit rule for which one governs?
When two sources contradict, the AI picks one. Without explicit precedence rules, you've delegated legal and operational decisions to a probability model.
Are your policies linked to the regulations or guidelines they're derived from?
When a regulation changes, you can't identify which internal policies are now non-compliant — until an auditor or a customer finds out first.
Do you have a process for updating your knowledge base when external guidance changes?
Your knowledge base silently drifts out of date. The AI keeps serving answers with full confidence from documents that are no longer accurate.
When someone grants an exception in Slack, email, or Teams — does it flow back to the governing rule and get approved by a subject-matter expert?
Exceptions get created in informal channels every day. Without a path back to the canonical rule and expert sign-off, your AI enforces the general policy while your team quietly works around it.
Can your AI produce an audit trail showing which document it used to reach a given answer?
When a customer disputes an AI-generated answer, you have no way to verify what the AI actually used — making every response unaccountable.
If a protocol changes tomorrow, do you know which AI outputs from today are now wrong?
You can fix the source document, but every answer the AI already gave based on the old version is still out there — and you have no way to find them.
The ELI5 version of enterprise AI infra.
Weekly on Thursdays. Knowledge governance, evaluation architecture, and the structural problems nobody talks about.