{
  "status": "Illustrative acceptance plan, not an executable test suite or observed production result",
  "topic": "AI proof of concept to production",
  "date": "2026-11-04",
  "sourceArticle": "https://aptixlabs.com/insights/ai-poc-to-production-checklist",
  "setup": [
    "Use synthetic accounts and records",
    "Record the environment and implementation version",
    "Agree the expected product contract before testing"
  ],
  "reviewSequence": [
    "List assumptions and untested paths from the proof of concept",
    "Define integrated evaluation and operating ownership",
    "Roll out a bounded task with observable stop conditions"
  ],
  "cases": [
    {
      "id": "1",
      "condition": "Model output is correct but access is wrong",
      "expectedBehavior": "The workflow fails acceptance",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "2",
      "condition": "Inputs are missing",
      "expectedBehavior": "The feature responds honestly rather than inventing facts",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "3",
      "condition": "A release exceeds its cost budget",
      "expectedBehavior": "The owner has a defined response",
      "observedBehavior": null,
      "status": "not_run"
    }
  ],
  "tradeoff": "Hardening every imaginable capability can delay learning. Narrow the first production scope so the team can evaluate a real workflow with explicit limits."
}