Inspect · scoring run
Keystone 3PL · 46e9e26b
Account
Keystone 3PL
Logistics · tier Build
Overall
64
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": 68,
"segment": "industries",
"why_now": {
"date": "2026-06-09",
"type": "press_release",
"label": "Announced AI transformation program",
"detail": "Captured from public sources during nightly pass.",
"source_url": "https://example.com/whynow/af4c7173",
"source_type": "press"
},
"industry": "",
"use_case": "",
"comparable": "",
"confidence": "medium",
"dimensions": [
{
"key": "kw_density",
"name": "Knowledge-Worker Density",
"score": 62,
"rationale": "Document-bound day-to-day",
"evidence_refs": [
3
]
},
{
"key": "public_ai_commitment",
"name": "Public AI Commitment",
"score": 61,
"rationale": "Press release on AI program",
"evidence_refs": [
3
]
},
{
"key": "workflow_volume",
"name": "Automatable Workflow Volume",
"score": 64,
"rationale": "High-volume repeatable knowledge tasks",
"evidence_refs": [
2
]
},
{
"key": "transformation_readiness",
"name": "Transformation Readiness",
"score": 68,
"rationale": "Recent platform consolidation",
"evidence_refs": [
2
]
},
{
"key": "sector_velocity",
"name": "Sector AI Velocity",
"score": 70,
"rationale": "Competitive pressure rising",
"evidence_refs": [
2
]
}
]
}Parse · five dimensions
Back-office accessorial work is dense
Automation capex called out in earnings
Recent ERP swap
Driver pay + SLA whitespace
3PL adopting AI selectively
Evidence pack · 3
Post details internal agent pilot, evaluation harness, and rollout cadence.
fetched 6/14/2026 · dims: kw_density, public_ai_commitment
Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.
fetched 6/8/2026 · dims: kw_density, public_ai_commitment
Company announced a multi-year AI transformation program with executive sponsorship.
fetched 5/31/2026 · dims: workflow_volume, transformation_readiness