Claims Fraud Signal Review with Codex: API Runtime Pattern
A production playbook for claims fraud signal review in cross-industry operations using Codex: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: Risk operations teams
The problem
Risk operations teams need claims fraud signal review to run repeatedly against claim packets, photos, history, and policy flags. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Package the claims fraud signal review instructions as a skill, send claim packets, photos, history, and policy flags as run-scoped inputs, execute with Codex, poll terminal status, and consume argo.result.v1 instead of parsing a transcript.
Tradeoffs and failure modes
The API boundary forces the workflow to define inputs, terminal states, and result shape before customers depend on it. For claims fraud signal review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run request
POST /api/skills/<skill_id>/run
provider=codex
workflow=claims-fraud-signal-review
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo