Fintech: Merchant Underwriting Review with Claude Code: Result JSON Schema
A production playbook for merchant underwriting review in fintech operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Fintech risk teams underwriting merchants
The problem
Fintech risk teams underwriting merchants need merchant underwriting review to run repeatedly against applications, bank statements, websites, KYC docs, and risk policies. In fintech operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Define the outer result contract once, let the merchant underwriting review skill own body.data, and reject terminal output that does not match the expected schema.
Tradeoffs and failure modes
Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For merchant underwriting review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Result shape
{
"schema_version": "argo.result.v1",
"summary": "merchant underwriting review completed",
"body": { "type": "fintech_underwriting_review", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo