UnityAI: How 20 Engineers Built Healthcare's Voice-First Scheduling Revolution in Record Time

Customer: UnityAI
Industry: Healthcare Operations AI
HQ: Nashville, Tennessee
Scale: 250,000+ monthly patient calls
Launch: Voice-powered patient scheduling
Partner: Vapi

You know how healthcare scheduling usually works? Offshore call centers, overworked front desk staff, patients repeating their date of birth three times, and somehow still ending up with the wrong appointment time?

UnityAI just threw that entire playbook out the window. Their 20-person engineering team took healthcare's most broken process and built something that patients actually thank them for.

Here's what happened when they discovered that voice AI could do more than just answer phones.

The problem they were solving

UnityAI CEO Dr. Edmund Jackson puts it bluntly: “Effective care relies on getting the right people to the right place, at the right time, on time, every time. That process is very hard to pull off in practice.”

Picture this: You need an MRI after seeing your orthopedic surgeon. The order flows to a radiology clinic, lands on some overworked scheduler's desk, gets delegated to an offshore call center, and six rounds of phone tag later, you're still not scheduled.

Meanwhile, that scheduler has no context about your case, can't answer your questions about prep requirements, and is motivated to get you off the line ASAP. It’s not a great experience. Unity was already handling optimization for PE-backed ambulatory networks with 100-200 clinics nationwide. They were good at behind-the-scenes optimization math. But the actual patient contact? That was still stuck in 1995.

“Healthcare scheduling is far more complex than booking a haircut,” Jackson explains. “It depends on the patient's detailed condition, what else is happening with the clinic, and the company itself. We model and optimize this, identify the best slot for the patient, and work to place them into it. Voice is the last mile and AI voice is a key unlock.”

How they implemented it

Here's what Unity built after finding Vapi:

Experimentation phase: Unity's team tested various hyperscaler and open-source solutions. Neither worked for their complex healthcare workflows.

Connect with Vapi: Unity then connected their existing Google Cloud hosted clinical optimization platform to Vapi's platform.

Integrate: After that, Unity built API integrations for real-time availability checking, no-show probability calculations, optimization, and patient record updates across multiple systems.

Go: Finally, they tested with real patients. Deployed to production.

Jackson's reaction?

“We went from our initial idea to a demo in a day or two. We then went live with a minimal offering within a week. Vapi made the final mile, voice, a breeze.”

Business impact

Unity shared their actual transformation metrics:

Based on Unity's internal reporting

That revenue jump? It wasn't just efficiency gains. Voice AI unlocked an entirely new business model for healthcare patient engagement.

Technical architecture

Here's what made this work at enterprise scale:
Unity's voice agents don't just schedule appointments. They understand healthcare complexity. When calling about that MRI, the AI knows to ask about metal implants, explain prep requirements, and intelligently overbook based on no-show probability calculations.

Unity's system goes deeper than just finding open slots. It groups similar procedures together, scheduling knee scans with other knee scans rather than mixing them with spine scans. This reduces equipment changeover time since MRI technicians don't have to switch tables or coils between appointments.

Jackson revealed the specific capabilities that changed the game: “There's a lot of detailed nuance in moving from a simple voice to an agent. Things like tool calls, getting the right data structuring, all of the post-hoc analytics, the transcripts, all of it's built as one and it's just turnkey for us.”

Translation: Unlike platforms that handle simple conversations, Vapi gave Unity the infrastructure for complex healthcare workflows. When the AI needs to check availability across multiple clinic systems, it makes API calls. When it needs to update patient records in different formats (HL7, flat files, APIs), it adapts. When compliance requires SOC 2, HIPAA, and PCI standards, it's already covered.

The engineering team focuses on healthcare-specific optimization. The voice AI handles everything else.

Voice AI opened new healthcare markets for Unity

Healthcare scheduling isn't just about convenience. It's about access to care. Unity's work with Medicaid populations, where illiteracy rates reach 35-40%, shows how voice AI can reach patients that text-based systems miss entirely.

“In most of technology to get things done, you make an API call,” Jackson observes. “Part of what is hard about getting tech into healthcare is that there's no API around the patient. Voice AI fixes that.”

The best part? The experience is so good that patients don’t mind talking to an AI. They appreciate that someone listened, understood their needs, answered their questions, and got them scheduled quickly, often in languages and dialects local to their community.

What they're building next

With basic scheduling transformed, Unity is expanding across healthcare workflows:

• New verticals: Other complex specialties
• Patient care coordination: ensuring compliance with pathways over time

Each new capability builds on the same voice infrastructure. No starting over.

Key takeaways

Jackson summed up the experience: “Vapi unlocked patient interaction for us, which opened a whole new set of product possibilities for us. When your first patient interaction works this well, everything downstream gets easier.”

His advice to other healthcare companies? “Go and know your domain. Healthcare is unimaginably complex... Go work in a dentist's office, go there and do the thing, because I see so many tech-first companies selling solutions to problems that aren't real.”

But once you understand healthcare, voice AI can transform it.

About This Success Story

UnityAI transformed healthcare patient scheduling using Vapi's voice AI platform.
Implementation: 1 week MVP with 20-person engineering team
Results: New product set, 250,000+ monthly calls, 50% cost reduction vs. traditional call centers