Use case
Safe Postgres for customer-support copilots
Give a support copilot scoped, tenant-isolated, read access to live order and ticket data, with PII masked and every proposed write held for human approval. Enforced in the wire protocol, audited end to end.
A support copilot reads live customer data to draft replies and propose actions. On a shared multi-tenant database that means two risks: the copilot for one tenant reading another's data, and customer PII flowing into the model. PgBeam handles both at the wire, and holds every proposed write for a human, so the copilot can draft a refund but never issue one unattended.
Tenant isolation without trusting the prompt
Attach a row-level WHERE filter to the credential so every read is automatically scoped to one tenant. The copilot for support-org A cannot read support-org B's orders, even on the same shared table, and you never depend on the model to add a WHERE clause.
Mask customer email and phone with redact or deterministic hash masking, so an agent can match on a value without the raw one leaking into the model's context.
Reads pass, writes wait for a human
Keep the credential read for live data and route every proposed write, a refund row, a ticket status change, through human approval in the dashboard or Slack. Add auto-approve rules for trivial safe edits so humans are not a bottleneck on noise.
Every row the copilot read and every action it proposed is recorded in the audit trail, exportable as a trust artifact for the support org's own compliance team.
Row-level isolation
A WHERE filter scopes every read to one tenant, applied at the wire.
PII masking
Redact, null, or hash email and phone so raw PII never reaches the model.
Approval-gated writes
Every refund or status change is held for human approval, with auto-approve rules.
Customer-facing audit
Exportable record of every row read and action proposed, as a trust feature.
Questions
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