
Elite Health, by Stratum Industries, provides AI voice agents that run the healthcare front office inside the practice's EHR.
Elite's product is an AI voice agent that operates the front office of healthcare practices, answering patient calls across voice, SMS, and web and completing the work inside the practice's existing EHR and phone system. The stated scope covers scheduling, triage and routing, referrals, refills, lab requests, eligibility, intake, outreach, balances, tasks, and prior authorization, with routine interactions resolved end to end and complex ones escalated to staff with full context.
The agent ships with scheduling protocols for eighteen medical specialties and is described as going live in days to two weeks without replacing the incumbent EHR. A secure REST API with HL7 and FHIR support is exposed for custom integrations, and the service is offered in English and Spanish.
Elite targets the healthcare front office, where practices field high call volumes, patients wait on hold, and staff are pulled from care to answer phones. The company frames its roadmap as front office first, then back office, and ultimately an AI-native EHR that operates itself, under a broader stated mission to apply agents to other critical industries.
Elite discloses that outcome figures shown on its site — such as call-resolution and no-show improvements — are category benchmarks across AI front-office deployments rather than Elite measurements, and that the company is early, with no published customer list, testimonials, deployment count, or first-party outcome data.
Elite prices per resolved patient interaction rather than per seat or per minute, charging only when its agent completes the front-office task end to end. The company states it makes money only when the work succeeds, aligning vendor revenue with outcome delivery.
Published pricing figures are not disclosed; the company tailors pricing per practice through a live demo line, and the outcome-based framing is repeated across the official site, its buyer-facing pages, and its published model-file description.