Disclosure: This article recaps the Same Sky, Different Stars session from the AVIA Network Summit 2025, where attendees heard firsthand case studies from digital health companies. AVIA has no financial relationships that would benefit from the commercial success of any company referenced. Our intent is to provide objective insights, practical guidance, and informed perspectives that support our members’ and clients’ strategic priorities.

Healthcare demand has outpaced the capacity of human labor, and nowhere is that gap more visible than in transitional, chronic, and post-acute care. As health systems and value-based care organizations look to extend their reach without adding cost or burden, agentic AI is emerging as a practical, responsible solution.

Drive Health’s work illustrates what this next chapter looks like in action. Partnering with a national value-based care delivery organization serving more than 700,000 lives, Drive Health deployed Avery, a patient-facing AI agent designed to support outreach, education, and care adherence across the continuum.

Unlike traditional phone-based outreach, which is often limited by staffing constraints, language barriers, and inconsistent reach, Avery operates 24/7, supports multilingual and multimodal interactions, and integrates directly with clinical systems. The result: care teams can extend their impact without extending their workload.

The outcomes speak for themselves. Avery-driven outreach delivered a 17.2% improvement in survey completion rates over industry phone-only baselines for Medicaid populations, while reducing direct outreach costs by 60–78%. When scaled, the model demonstrates an estimated 2.5–3.6x ROI, validating AI not as an experiment, but as infrastructure.

What differentiates Drive Health’s approach is a clear commitment to trust as a product. Safety guardrails, auditable workflows, human-in-the-loop oversight, and continuous performance validation are engineered into the system from day one. In a space where trust cannot be assumed, Drive Health shows how responsible AI can be operationalized—securely, transparently, and at scale.

The takeaway is clear: when designed around real workflows and real populations, agentic AI doesn’t replace care, it expands it.