{
  "description": "A conceptual map of the Agent Readiness Assessment, start to verdict: fit-first intake, a bounded evidence boundary, a governed system-run review with a named human accountable, one bounded clarification if needed, and an honest four-outcome verdict. It shows the product's real shape without exposing internal mechanism.",
  "id": "ara-public-conceptual",
  "kind": "process",
  "relations": [
    {
      "from": "p-fit",
      "label": "fit confirmed",
      "to": "p-materials",
      "type": "sequence"
    },
    {
      "from": "p-materials",
      "label": "review opens",
      "to": "p-freeze",
      "type": "sequence"
    },
    {
      "from": "p-freeze",
      "label": "bounded evidence basis",
      "to": "p-review",
      "type": "sequence"
    },
    {
      "from": "p-review",
      "label": "human-confirmed verdict",
      "to": "p-verdict",
      "type": "sequence"
    }
  ],
  "render_class": "process_map",
  "root": {
    "accent": "#4a90d9",
    "children": [
      {
        "accent": "#4a90d9",
        "id": "p-fit",
        "label": "1 · Fit before money",
        "note": "You describe the workflow, the decision you're trying to make, and what evidence you can share. We recommend the right path first — Spotlight, Floodlight, a deeper engagement, or an honest 'this isn't the right fit.' Payment only after fit is confirmed. No calls, no scheduling maze."
      },
      {
        "accent": "#e8a33d",
        "id": "p-materials",
        "label": "2 · Your materials, your boundary",
        "note": "After payment you get a private link to submit the materials the assessment should run against — public-safe links and text you choose to share. You can revise what you've submitted until review begins."
      },
      {
        "accent": "#e8553d",
        "id": "p-freeze",
        "label": "3 · Frozen when review begins",
        "note": "When your review is opened, your materials are frozen — the assessment stays bounded to exactly what you provided, and findings are tied to that evidence, never to guesswork. Refundable in full until this moment."
      },
      {
        "accent": "#7b5ea7",
        "children": [
          {
            "id": "p-clarify",
            "label": "One bounded ask, if needed",
            "note": "If something specific is genuinely needed to assess honestly, you get one clear, bounded request — a specific question, not a fishing expedition. Answer it and review resumes against your updated materials."
          }
        ],
        "id": "p-review",
        "label": "4 · A governed review",
        "note": "The assessment moves through structured evidence, findings, and dimension judgments, run by a governed system. Nothing is auto-scored — a verdict is never a machine's rubber stamp — and a named human is accountable for the service and handles exceptions."
      },
      {
        "accent": "#3d9970",
        "id": "p-verdict",
        "label": "5 · An honest verdict, delivered privately",
        "note": "You receive a readiness report at a private link: the verdict, what supports it, where it will break first, and what to fix. Four honest outcomes: ready enough · conditionally ready · not ready · not assessable on the evidence provided. 'Not ready' arrives with a fix-first path — a clear no is worth paying for."
      }
    ],
    "id": "ara-public",
    "label": "The Agent Readiness Assessment, start to verdict",
    "note": "A governed review of an AI workflow you already rely on — built to give you a clear verdict you can act on. The assessment is run by a governed system, with a named human accountable for the service and its exceptions."
  },
  "schemaVersion": "1.0",
  "title": "How an Agent Readiness Assessment Runs",
  "updated": "2026-07-07",
  "_provenance": {
    "source": "QuantumBeard",
    "url": "https://maps.quantumbeard.ai/ara-public-conceptual",
    "formats": {
      "html": "https://maps.quantumbeard.ai/ara-public-conceptual",
      "markdown": "https://maps.quantumbeard.ai/ara-public-conceptual.md",
      "json": "https://maps.quantumbeard.ai/ara-public-conceptual.json"
    }
  }
}