At enterprise scale, the core proposition shifts from "automate workflows" to "replace headcount with intelligence."
A Fortune 500 healthcare organization running 15,000 employees on traditional processing — 8–12 hour cycle times, $12M+ in monthly cost, 65% efficiency — can deploy roughly 2,000 active AI agents that hit the same outputs at 45-minute cycle times, $1.2M monthly cost, and 97% efficiency.
The numbers translate to a 90% cost reduction, a 1,200% speed improvement, and 24/7 operations with effectively infinite scale.