One Patient Call, Traced
00:00
Inbound Call Answered
No hold queue, any hour
00:14
Patient Identity Verified
Matched against the record
00:41
Appointment Rescheduled
Against live doctor calendar
01:12
EHR Record Updated
Written via API, logged
01:12
EHR Record Updated
Written via API, logged
The pattern we found across California clinics before building: care capacity lost to work that never touches a patient.
AIVA is an AI platform built for a US healthcare client. We designed, built, and deployed the entire agentic system, from voice layer to EHR integration.
Healthcare · Agentic Platform · California, USA
Live across 15+ clinics
100K+
The problem
Clinics were losing front desk capacity to repetitive calls while clinical staff spent hours daily on documentation, and referral faxes sat in queues waiting for manual processing.
What we built
A unified platform of intelligent agents: voice and chat handling patient communication end to end, an AI scribe generating clinical notes in real time, and referral automation from incoming eFax to booked appointment.
Stack Voice AI · EHR API integrations · RAG knowledge engine · OCR pipeline · Custom NLP · Azure deployment
AI Voice Agent
AI Chat Agent
AI Scribe
AI Referrals
AI Voice Mail & eFax
Custom Telephony Network
We built the telephony layer the agents run on, so a call moves through the clinic the way it should: AI to department, department to human, without dead ends.
Scheduling & Patient Management
The operational backbone the agents act against: unified records and calendars that govern availability.
Unified patient records with linked AI notes
Multi-clinic doctor scheduling
Clinic calendars governing doctor availability
Demographics and diagnostic history
2 AM, clinic closed
Agents Live
02:04
02:05
02:06
02:08
02:11
After-hours call handling
The voice agent answers around the clock: booking, refills, and queries work the same at 2 AM as at 2 PM, with no answering service in between.
AI Voice Mail
Non-urgent messages are transcribed, classified, and tagged by purpose, then queued and prioritized so morning staff open a sorted inbox, not a backlog of recordings.
Doctor Pings
For cases that cannot wait, the agent calls the doctors available after hours and keeps pinging until one replies. Confirmation is required, so nothing urgent dies in a missed notification.
Morning handoff
Everything that happened overnight, including calls, voice mails, and ping confirmations, is logged and waiting in the record when the clinic opens.
RDS + DynamoDB
Metadata, agent state, and audit trails for enterprise-grade traceability.
API-first architecture. The agents read and write against live clinical systems, and we build automated workflows on top of each integration rather than around it.

AthenaHealth
Live integration

AdvancedMD
Live integration

eClinicalWorks
Live integration

ModMed & EMA
Live integration

CMG
Live integration

Healow
Live integration

Phreesia
Live integration

NextGen
Live integration
Running a different EHR? New systems are added via API connectors, not rebuilds.
Scheduling
Refills
Referrals
Records
How the agent qualifies insurance before booking.
01
Capture
02
Verify
03
Check Eligibility
04
Qualify
05
Book & Write
Discovery
01
Map the Clinic's Workflows
Design
02
Agree Agents and Integrations
Build
03
Ship Against Real Systems
Deploy
04
Run, Monitor, Measure
What is AIVA and who owns it?
AIVA is an AI platform built by Aviara Labs for a US healthcare client. It is live across 15+ clinics with 3+ customers, handling 100K+ patient calls per month, and has raised $3M to scale across the US. Aviara Labs designed, built, and deployed the platform end to end, and we build similar systems for other healthcare organizations.
How do call transfers between departments work?
What happens to urgent calls after hours?
Does the agent check insurance before booking?
Which EHR systems do you integrate with?
How do the agents handle situations that need a human?
How does the AI Scribe fit into a physician's workflow?
Can you build a platform like this for our organization?
How long does a deployment take?
Bring us your clinic's workflow. We have built this before.
Book a Discovery Call