Non-emergency medical & home-health provider · 35 vehicles
A home-health provider piloting routing, dashcams, and analytics to protect drivers and tighten visit scheduling.
Anonymized design-partner pilot · illustrative results
Compliance overview
The challenge
Clinical staff drove between home visits on schedules built in a spreadsheet, with no live view of running-late routes and no way to verify a not-at-fault incident. Schedulers spent hours each week reshuffling visits, and a single disputed collision threatened to raise the provider's insurance costs without evidence to contest it.
The pilot approach
The pilot combined multi-stop route optimization, dual-facing AI dashcams configured with privacy-aware in-cab alerts, and fleet analytics for visit and idle reporting. Driver-facing recording and footage access were scoped to authorized roles and fully audit-logged, addressing staff privacy concerns up front during weekly tuning calls.
Illustrative outcome
Over the measurement window the provider reported tighter visit scheduling and faster handling of a low-severity incident using synced video and GPS. The figures below are illustrative pilot results from this single design-partner fleet, shared anonymized with permission, and labeled as such rather than presented as a guaranteed return.
Pilot results — illustrative
Figures from a single anonymized design-partner fleet over the pilot window. They are not guarantees or averages — your own fleet establishes its own baseline.
down ~25% (pilot)
Weekly scheduling time
< 1 day
Incident reviewed with synced video
role-scoped & audit-logged
Footage access
6 weeks
Measurement window
“The camera was an easier sell once the team saw access was logged and role-restricted. When one incident came up, having video and location together took the stress out of it.”
Run the same pilot on your fleet
We’ll measure your real numbers over a structured pilot — and you decide with evidence from your own vehicles, not a sales deck.