Auger Drilling · 8b776367

You are scoring an industries account (financial services, healthcare, retail, manufacturing) against the Anthropic field rubric.

Score each 0-100 with a one-line cited rationale:
1. Knowledge-Worker Density — share of workforce doing reading, writing, analysis (law firms high, manufacturing lower)
2. Public AI Commitment — measured via open roles, exec statements, press releases
3. Automatable Workflow Volume — volume of repetitive knowledge work Claude could compress
4. Transformation Readiness — data, tooling, change-management maturity to deploy
5. Sector AI Velocity — how fast peers in the sector are moving — competitive pressure

Same JSON shape as the tech rubric. Confidence "high" only with three live-evidence dimensions.

{
  "tier": "Watch",
  "notes": "",
  "company": "<see accounts.name>",
  "overall": 61,
  "segment": "industries",
  "why_now": {
    "date": "2026-06-16",
    "type": "earnings_call",
    "label": "CEO emphasized agent-led ops on earnings",
    "detail": "Captured from public sources during nightly pass.",
    "source_url": "https://example.com/whynow/d77ff028",
    "source_type": "careers"
  },
  "industry": "",
  "use_case": "",
  "comparable": "",
  "confidence": "medium",
  "dimensions": [
    {
      "key": "kw_density",
      "name": "Knowledge-Worker Density",
      "score": 61,
      "rationale": "Analyst-dominant org chart",
      "evidence_refs": [
        3
      ]
    },
    {
      "key": "public_ai_commitment",
      "name": "Public AI Commitment",
      "score": 68,
      "rationale": "Press release on AI program",
      "evidence_refs": [
        1
      ]
    },
    {
      "key": "workflow_volume",
      "name": "Automatable Workflow Volume",
      "score": 68,
      "rationale": "Backlog of structured drafting work",
      "evidence_refs": [
        1
      ]
    },
    {
      "key": "transformation_readiness",
      "name": "Transformation Readiness",
      "score": 64,
      "rationale": "Recent platform consolidation",
      "evidence_refs": [
        2
      ]
    },
    {
      "key": "sector_velocity",
      "name": "Sector AI Velocity",
      "score": 54,
      "rationale": "Investor questions on AI per call",
      "evidence_refs": [
        1
      ]
    }
  ]
}