Interactive reference
The AI Exposure Map
Every chart you have seen scores whole jobs. Jobs are the wrong unit.
Exposure lives at task level. Every operating function, from People and Finance to Legal, Revenue Ops and IT, splits into work that automates and judgment that compounds. Select a function to see its tasks.
The map asks the question. The task layer answers it.
People & HR
4 automate · 2 compound
Employee queries and first-line adviceEmbed
Grounded self-serve from your own policies, with citations
9 /10
Onboarding and offboarding adminTooling Enablement
The classic monthly manual grind, run end to end
9 /10
Comp benchmarking and cycle modellingTooling Enablement
Collection and modelling automate; the pay call does not
8 /10
ER case documentation and chronologyTooling Enablement
Timelines and letter drafts. Verification is non-negotiable
8 /10
Difficult conversations and coachingHuman Enablement
AI preps the brief; the room is yours
2 /10
Org design and workforce strategyAudit
AI widens the option set; the bet is yours
2 /10
Curious how your own function scores? Take the Readiness Assessment, about ten minutes→
Read the low scores first
Tasks scoring 0 to 3 are where the human value sits: judgment calls, trust, hard conversations. They get more valuable as everything around them speeds up.
The high scores are capacity
Tasks scoring 7 and above are not headcount cuts. They are the hours a team gets back to spend on the low-scoring column. Cutting the people who hold the judgment is how AI adoption fails.
Exposure is not adoption
These scores are what current tooling can reliably do with proper setup and verification, not what your team does today. Most teams capture a fraction of this. That gap is the readiness question.
Methodology: task inventories from operating engagements across seven sectors. Scores rate what frontier models plus workflow tooling reliably produce with proper context and a verification step, judged per task rather than per function. Argue with them, that is what they are for.
