Inspect · scoring run
Whitecap Insurance · 9bf33773
Account
Whitecap Insurance
Personal Lines · tier Build
Overall
66
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": 66,
"segment": "industries",
"why_now": {
"date": "2026-06-04",
"type": "leadership_hire",
"label": "New Chief AI Officer announced",
"detail": "Captured from public sources during nightly pass.",
"source_url": "https://example.com/whynow/a3f6e02e",
"source_type": "careers"
},
"industry": "",
"use_case": "",
"comparable": "",
"confidence": "medium",
"dimensions": [
{
"key": "kw_density",
"name": "Knowledge-Worker Density",
"score": 73,
"rationale": "Reading/writing heavy workforce",
"evidence_refs": [
3
]
},
{
"key": "public_ai_commitment",
"name": "Public AI Commitment",
"score": 72,
"rationale": "AI roles open + exec quotes",
"evidence_refs": [
2
]
},
{
"key": "workflow_volume",
"name": "Automatable Workflow Volume",
"score": 62,
"rationale": "Manual triage compressible",
"evidence_refs": [
2
]
},
{
"key": "transformation_readiness",
"name": "Transformation Readiness",
"score": 72,
"rationale": "Active change-mgmt practice",
"evidence_refs": [
1
]
},
{
"key": "sector_velocity",
"name": "Sector AI Velocity",
"score": 72,
"rationale": "Investor questions on AI per call",
"evidence_refs": [
2
]
}
]
}Parse · five dimensions
Analyst-dominant org chart
Press release on AI program
High-volume repeatable knowledge tasks
Active change-mgmt practice
Competitive pressure rising
Evidence pack · 3
Post details internal agent pilot, evaluation harness, and rollout cadence.
fetched 6/14/2026 · dims: sector_velocity, public_ai_commitment
AI named as a top-3 priority in latest investor communication.
fetched 6/6/2026 · dims: transformation_readiness, kw_density
Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.
fetched 5/29/2026 · dims: public_ai_commitment, sector_velocity