Inspect · scoring run
Granite State Credit · 88636bd4
Account
Granite State Credit
Credit Union · tier Build
Overall
79
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": 79,
"segment": "industries",
"why_now": {
"date": "2026-06-15",
"type": "hiring_surge",
"label": "AI-titled roles opened across functions",
"detail": "Captured from public sources during nightly pass.",
"source_url": "https://example.com/whynow/14f6c558",
"source_type": "press"
},
"industry": "",
"use_case": "",
"comparable": "",
"confidence": "high",
"dimensions": [
{
"key": "kw_density",
"name": "Knowledge-Worker Density",
"score": 83,
"rationale": "Analyst-dominant org chart",
"evidence_refs": [
3
]
},
{
"key": "public_ai_commitment",
"name": "Public AI Commitment",
"score": 78,
"rationale": "Earnings-call AI mentions trending",
"evidence_refs": [
1
]
},
{
"key": "workflow_volume",
"name": "Automatable Workflow Volume",
"score": 80,
"rationale": "Manual triage compressible",
"evidence_refs": [
1
]
},
{
"key": "transformation_readiness",
"name": "Transformation Readiness",
"score": 72,
"rationale": "Data + governance maturity present",
"evidence_refs": [
2
]
},
{
"key": "sector_velocity",
"name": "Sector AI Velocity",
"score": 83,
"rationale": "Competitive pressure rising",
"evidence_refs": [
3
]
}
]
}Parse · five dimensions
Document-bound day-to-day
Earnings-call AI mentions trending
Backlog of structured drafting work
Recent platform consolidation
Peers shipping AI features fast
Evidence pack · 3
New executive role created to own AI strategy across business units.
fetched 6/13/2026 · dims: public_ai_commitment, sector_velocity
Company announced a multi-year AI transformation program with executive sponsorship.
fetched 6/10/2026 · dims: sector_velocity, workflow_volume
Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.
fetched 6/5/2026 · dims: transformation_readiness, kw_density