How to Build a Permission-Aware Internal AI Assistant Over Confluence and Drive

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Developers building internal knowledge assistants must treat user authorization as the core product, not an afterthought, since serving restricted content to unauthorized users can silently expose sensitive data like salary reviews. Every indexed content chunk should carry an access control list of permitted user and group IDs, evaluated at query time rather than after results are returned. The system must flatten nested group hierarchies and apply a deny-by-default rule, so any chunk missing permissions is visible to no one, ensuring ingestion bugs fail safely. Connectors for Confluence and Google Drive must retrieve effective permissions after inheritance, not just direct grants, and support change feeds to catch permission updates without full re-crawls. Stale permissions represent a security breach rather than a mere inconvenience, requiring separate refresh pipelines distinct from standard content update workflows.

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