{
  "version": "1.0.0",
  "claims": [
    {
      "id": "CLM-METHOD-001",
      "statement": "The scorecard uses 12 criteria with total weight 31, a signed decision index from -100 to +100 and transparent thresholds at -30 and +30.",
      "boundary": "This is an authored model contract, not an externally calibrated probability, forecast or benchmark.",
      "sourceIds": ["SRC-PHAROS-BUILD-BUY"]
    },
    {
      "id": "CLM-RISK-001",
      "statement": "AI sourcing decisions still require full-lifecycle risk ownership across design, development, use, evaluation and acquisition.",
      "boundary": "NIST guidance is voluntary and does not transfer legal or operational accountability.",
      "sourceIds": ["SRC-NIST-AI-RMF", "SRC-NIST-GAI-PROFILE"]
    },
    {
      "id": "CLM-TCO-001",
      "statement": "Technology TCO should include acquisition, management, support, labor, downtime, training and other productivity costs across time.",
      "boundary": "The categories are broad; each organization must supply its own amounts and measurable workload units.",
      "sourceIds": ["SRC-FINOPS-TCO"]
    },
    {
      "id": "CLM-READINESS-001",
      "statement": "Workforce capability, infrastructure, context and data, security, regulatory requirements and ability to scale are relevant to an agent sourcing decision.",
      "boundary": "The cited consultancy framework is a relevance source, not independent proof of which path will succeed.",
      "sourceIds": ["SRC-KPMG-BUILD-BUY-BORROW"]
    },
    {
      "id": "CLM-FACTOR-001",
      "statement": "Cost, strategic differentiation, asset specificity, vendor lock-in, time to market, quality and compliance, and organizational capability are recurring make-or-buy determinants in the cited conceptual analysis.",
      "boundary": "The paper is conceptual and does not empirically validate this scorecard's weights or thresholds.",
      "sourceIds": ["SRC-ARXIV-MAKE-BUY"]
    }
  ]
}