What’s included
- PDF methodology guide for running an AI workforce readiness assessment
- O*NET-grounded framework explanation for board-defensible scoring
- Step-by-step workflow: role inventory → SOC matching → scoring → heatmap → action plan
- Redeployment planning framework with decision criteria
- Stakeholder communication templates for HR Directors and VPs of People
Exposure Assessment
Workforce AI Readiness Assessment Guide
The full method behind a workforce AI-exposure assessment, for the people-analytics lead who has to run one and defend it. Roughly forty pages across five parts: the task-level exposure methodology and why it scores tasks rather than whole jobs; how to run an internal assessment end to end; how to read O*NET task and importance data correctly; how to present findings to a board without overclaiming; and a redeployment decision framework for acting on the results. It cites only the CC-licensed O*NET taxonomy and invents no industry figures — every exposure score is a judgement you make about your own workforce and an input to human decision, never a prediction of job loss.
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What’s included
- PDF methodology guide for running an AI workforce readiness assessment
- O*NET-grounded framework explanation for board-defensible scoring
- Step-by-step workflow: role inventory → SOC matching → scoring → heatmap → action plan
- Redeployment planning framework with decision criteria
- Stakeholder communication templates for HR Directors and VPs of People
Need the full automated workflow?
The AI Exposure Analyzer SaaS app compresses manual O*NET mapping into a 30-minute repeatable process — with department heatmaps, redeployment recommendations, and board-ready exports.
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