Design a data minimization architecture for AI assistants.

Instruction: Explain how you would reduce the amount of sensitive data an assistant retains or propagates. For the supplied order-status workflow, decide which fields may enter the model, tool request, retry queue, and routine telemetry. Explain expiry and how a schema change is detected.

Context:

The authorized task is to report delivery status for one order. The service returns order_ref, status, expected_day, shipping_address, payment_token, and internal_notes. The status tool accepts an authenticated scoped order_ref. The model only needs status and expected_day. Assume operational policy permits routine telemetry containing operation ID, outcome, latency and error category, but no order reference or personal fields.

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I’d begin with a data-flow map and ask what each step genuinely needs...

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