Before Connecting Workspace Knowledge, Build a Permission Matrix

Before integrating workspace content with an AI assistant, organizations should map each source’s import capabilities, user access controls, synchronization behavior, and deletion handling, since a connector does not itself define the application’s permission model. Each system, such as Slack, Notion, or Google Drive, should be evaluated separately through a source contract documenting identifiers, revisions, supported content, authentication, access scope, syncing, deletion signals, and the account granting access, using current Supermemory connector documentation rather than assumed compatibility. A key design choice is whether to import only narrowly authorized content or ingest broader content while enforcing permissions during retrieval, which requires reliable and current source permission data or additional application-side authorization. Testing should cover document creation, editing, relocation, access removal, and deletion, while measuring ingestion and search delays and ensuring cached context or derived summaries do not retain restricted information. Rollouts should begin with sources whose identities, permissions, and lifecycle signals can be reliably verified, expanding only after these controls have been validated.

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