Workforce
AI Exposure Analyzer maps your organization's roles to O*NET work activities, scores every task for AI/automation exposure, and surfaces board-ready department heatmaps and redeployment targets — in hours, not months.
Overview
An AI workforce-risk assessment tool for mid-market HR strategy teams (200–5,000 employees, 10–100 role types). Upload a headcount CSV, confirm the O*NET occupation match for every role, and get a transparent four-dimension exposure score — cognitive routine, physical routine, social/judgment, creative — weighted by O*NET task importance. Department heatmaps drill down to the role, High and Critical roles surface 3–5 adjacent occupations with skill-overlap percentages, and the whole assessment exports as a board-ready PDF or PPTX. Scenario snapshots let you show the board how the profile shifted quarter over quarter.
The problem
Macro AI-exposure research creates board-level urgency but no company-specific answer — it tells you nothing about which of your 42 roles are exposed or what to do about it. The alternatives are a $20,000–$80,000 consulting engagement that yields a one-time report, or 80–250 hours of manual O*NET mapping in Excel ($8,000–$25,000 per cycle) that is inconsistent between analysts and non-auditable. When the analysis lands too late, restructuring turns reactive — SHRM puts replacement cost at 50–200% of annual salary per displaced employee.
Key features
- O*NET occupation matching engine — fuzzy title-to-SOC lookup across 900+ occupations with confidence scores and manual override
- Transparent four-dimension exposure rubric scored per task and weighted by O*NET task importance
- Department heatmap dashboard with Low/Moderate/High/Critical bands and role-level drill-down
- Redeployment recommendation engine — 3–5 adjacent occupations per High/Critical role with skill-overlap % and reskilling effort
- Board-ready PDF executive summary and PPTX deck export; white-label from Business tier
- Scenario snapshot versioning for quarter-over-quarter comparison
Benefits & outcomes
- Replace a $20,000–$80,000 consulting engagement with a repeatable subscription workflow
- Compress 80–250 hours of manual O*NET mapping into hours: upload → match → score → export
- Defend the methodology to the board — every score traces back to its per-task O*NET inputs
- Turn exposure findings into proactive redeployment plans instead of reactive restructuring