Customer Implementation Audit with Claude Code: Result JSON Schema

A production playbook for customer implementation audit in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Implementation teams

The problem

Implementation teams need customer implementation audit to run repeatedly against project plans, configs, customer notes, and launch criteria. In cross-industry 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 customer implementation audit 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 customer implementation audit, 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": "customer implementation audit completed",
  "body": { "type": "customer_implementation_audit", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo