Banking: Commercial Credit Memo Preparation with Claude Code: Result JSON Schema
A production playbook for commercial credit memo preparation in banking operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Commercial banking teams
The problem
Commercial banking teams need commercial credit memo preparation to run repeatedly against financial statements, borrower notes, collateral docs, covenant data, and prior memos. In banking 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 commercial credit memo preparation 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 commercial credit memo preparation, 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": "commercial credit memo preparation completed",
"body": { "type": "banking_credit_memo", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo