Why it matters
An access policy scopes one application: allowed collections, blocked states, regional variants. Generic company AI policy is too coarse for per-app enforcement.
How it works
Write access policies as machine-readable allow and deny lists with precedence rules. Bind policies to app IDs and environments staging versus production.
Example
Nintendo docs assistant access policy allows published API documentation collections only, denying internal architecture notes even if embeddings exist in shared infrastructure.
Common mistakes
- 1Reusing chatbot access policy for internal agents without review
- 2Staging policies accidentally identical to production with extra internal collections
- 3Policies missing environment dimension
Your AI does not need more access. It needs the right access.
Set policies that control what each AI application can read, cite, and answer from.
See AI access policies