Per-nurse value from the tasks Kaya’s AI agents automate
A single skilled nursing facility. Everything is framed per nurse.
Toggle the tasks Kaya automates. Value is sized only from what’s selected. Edit each task’s day-shift minutes and the share an agent offloads. Founder-estimate priors — validate in discovery.
Beyond recovered nurse time. Toggle off to show time-recovery ROI alone.
| Loaded rate | Cost/min | Min/nurse/mo | Min/shift | Min/facility/mo |
|---|
How it works: recovered-time value = selected tasks’ automatable minutes × coordination days × loaded rate. Break-even = price ÷ (loaded rate ÷ 60). Whose time: several tasks are done by clerks, social services, and the business office, not the licensed nurse — valuing them at the nurse rate overstates nurse-capacity recovery; the sensitivity table shows break-even at lower blended rates. Every task figure is a founder-estimate prior — validate in discovery before it drives the model.