How much capacity each automation deployment actually releases, by skill band — with three explicit redeployment scenarios a CFO can defend.
Procurement leaders get asked the same question every budget cycle: if we deploy automation, how much headcount comes out, and how much capacity comes back? The honest answer is usually a shrug. The team cannot tell which work the agents actually absorb, what fraction of an FTE that represents, or where the freed hours should go. Without a defensible model, the conversation collapses into the wrong frame — “headcount avoidance” or “productivity uplift” — and neither lets the CFO plan.
A quantified capacity model that predicts and measures FTE-equivalent capacity released per agent deployment, segmented by skill band and routed to the highest-value redeployment. Capacity per FTE, not headcount avoidance.
Time-distribution data from workflow systems and intake logs classified by skill band and strategic vs. routine — the starting denominator.
Hours-released per workflow per skill band calculated from actual touch logs — not vendor-supplied savings claims.
Three explicit cases — strategic uplift, cycle-time gain, growth absorption — each tied to a specific commercial outcome.
Post-deployment measurement of actual capacity vs. modeled. Assumptions retuned quarterly so the model stays defensible over multi-year horizons.
“Capacity per FTE, not headcount avoidance — with the assumptions a CFO can pressure-test.”
A defensible capacity model with quarterly run-rate measurement. Each block of released capacity typed: strategic uplift, cycle-time gain, growth absorption, structural reduction, or retained for resilience.
A 20-minute working session. We’ll walk through what the model produces from real workflow and agent-deployment data.