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Cedar Park Health · 1c00d4a9

model · google/gemini-2.5-prosegment · industriesconfidence · mediumevidence · 3latency · 3.99 sat · 6/16/2026, 3:00:00 PM

Account

Cedar Park Health

Hospital Network · tier Build

Overall

72

Prompt

score-account-industries · v1

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.

Raw response

exactly what Claude returned

{
  "tier": "Build",
  "notes": "",
  "company": "<see accounts.name>",
  "overall": 73,
  "segment": "industries",
  "why_now": {
    "date": "2026-05-25",
    "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/a1774dd6",
    "source_type": "press"
  },
  "industry": "",
  "use_case": "",
  "comparable": "",
  "confidence": "medium",
  "dimensions": [
    {
      "key": "kw_density",
      "name": "Knowledge-Worker Density",
      "score": 72,
      "rationale": "Reading/writing heavy workforce",
      "evidence_refs": [
        1
      ]
    },
    {
      "key": "public_ai_commitment",
      "name": "Public AI Commitment",
      "score": 67,
      "rationale": "Press release on AI program",
      "evidence_refs": [
        1
      ]
    },
    {
      "key": "workflow_volume",
      "name": "Automatable Workflow Volume",
      "score": 79,
      "rationale": "Manual triage compressible",
      "evidence_refs": [
        3
      ]
    },
    {
      "key": "transformation_readiness",
      "name": "Transformation Readiness",
      "score": 66,
      "rationale": "Recent platform consolidation",
      "evidence_refs": [
        3
      ]
    },
    {
      "key": "sector_velocity",
      "name": "Sector AI Velocity",
      "score": 70,
      "rationale": "Peers shipping AI features fast",
      "evidence_refs": [
        1
      ]
    }
  ]
}

Parse · five dimensions

Knowledge-Worker Density
80

Clinical documentation burden is large

Public AI Commitment
70

AI Governance Council announced

Automatable Workflow Volume
74

Digital transformation underway

Transformation Readiness
68

Discharge + coding workflows

Sector AI Velocity
68

Healthcare velocity rising

Evidence pack · 3

  • Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.

    fetched 6/14/2026 · dims: kw_density, public_ai_commitment

  • Company announced a multi-year AI transformation program with executive sponsorship.

    fetched 6/12/2026 · dims: workflow_volume, transformation_readiness

  • New executive role created to own AI strategy across business units.

    fetched 5/29/2026 · dims: kw_density, workflow_volume

Re-run scoring for Cedar Park Health