Credit-line approval directly affects an individual’s financial eligibility and is therefore a high-risk financial decision. Claude may assist analysts by summarizing application information, checking completeness, organizing evidence, or identifying cases requiring further review, but qualified humans must retain final decision authority. Option C provides this augmentation model.

Option A values processing speed over fairness, regulatory compliance, explainability, and accountability. Option B is unacceptable because compliance and risk controls must be established before production, not after customers are affected. Option D increases the risk by allowing Claude both to decide and communicate a consequential financial determination without professional review.

Anthropic’s Usage Policy explicitly identifies loan approvals and creditworthiness determinations as high-risk financial use cases. It requires a qualified professional to review advice, recommendations, or subjective decisions that directly affect consumers before finalization. The organization remains responsible for accuracy and appropriateness. Depending on the deployment, disclosure of AI involvement may also be required.

A compliant workflow should define permitted assistance, require human approval, validate the model’s outputs, monitor for disparate impact, document decision rationale, and provide appropriate appeal or correction processes. Claude should augment professional judgment, not replace the accountable decision-maker. Anthropic’s high-risk use-case requirements

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