Prove one workflow in the real world.
Aaron’s first deployment is deliberately narrow: one or two robots, a controlled material category, repeatable routes, explicit safety boundaries and a before/after operating scorecard.
A facility where the work is visible and measurable.
The strongest alpha site is not necessarily the most technologically ambitious. It is a facility with a recurring movement problem, accessible leadership and a route that can be safely bounded.
Assessment → definition → deployment → evidence.
Observe
Map the route, material category, trip frequency, handoff points, staffing burden and exceptions.
Define
Set intended use, task boundaries, success criteria, escalation, safety controls and facility ownership.
Deploy
Launch supervised autonomy, train staff, establish operating reviews and collect daily task evidence.
Prove
Measure reliability, interventions, throughput, staff acceptance, labor impact and readiness to expand.
Constrain first. Expand after proof.
The alpha is non-clinical. Patient care, clinical decision-making, medication administration and other clinical functions remain outside the intended use. Initial speeds, routes, endpoints and task categories are deliberately conservative.
A structured automation proof—not a science project.
- Workflow assessment with route, material and operating baseline.
- Defined alpha scope with included and excluded tasks.
- Operating scorecard covering task success, intervention, uptime and service evidence.
- Review cadence with facility leadership and clear criteria for expansion.
- RaaS transition path if the alpha proves the operating case.
Interested in becoming an alpha partner?
Proximity to Nashville matters for the first live deployment because it keeps engineering, facility collaboration and support close together.