The correct answer is Implement grounding with retrieval so answers are limited to an approved source of company policies.

This approach anchors responses to vetted policy documents so the model cites and uses only company approved content. By retrieving the official policy context at inference time and constraining the answer to that context, the assistant is far less likely to invent a discount that does not exist. It directly reduces financial exposure because unsupported offers are filtered out when they are not present in the retrieved policy sources.

Use multi step prompting to decompose user questions before answering improves reasoning clarity for complex requests, yet it does not enforce that answers come from authoritative sources. Without grounding, the assistant can still invent discounts and create the same liability.

Vertex AI Safety Filters mitigate harmful or sensitive content, but they are not designed to verify pricing or policy accuracy. They do not stop benign sounding yet financially risky hallucinations like a fabricated discount.

Fine tune the model on a larger set of generic support conversations may change style or coverage, but it does not guarantee factual adherence to current policies. It can even amplify prior mistakes and will not reliably prevent invented discounts unless it is paired with retrieval from the official policy corpus.

Full AWS Practitioner Certification Question