Aviara Labs built AIVA, an agentic AI platform for a US healthcare client, now live across 15+ clinics in the US, handling 100K+ patient calls every month. This page is the full story: what it does, how it works, and how we build the same for healthcare organizations.
Live across 15+ clinics · 3+ customers
100K+ calls handled monthly, 24/7
AWS Certified Build Partner
Integrated with AthenaHealth · ModMed · NextGen
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
Healthcare · Agentic Platform · California, USA
Live across 15+ clinics
From front desk to referral pipeline
100K+
Patient calls handled every month, 24/7, with the platform since raising $3M to scale across the US
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
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Where the hours come from, and where they go.
Front Desk
Physicians
Referrals
The payoff
AI Voice Agent
A fully autonomous receptionist managing patient calls end to end, cutting front desk workload while patients get answers immediately.
Inbound call handling with conversational AI
Prescription refill requests
Knowledge-base answers to patient queries
Transfers to departments or humans over a custom telephony network
Booking, rescheduling, and cancellations
Patient identity verification
Voicemail capture with automated triage
Writes directly to EMRs and CRMs via API
AI Chat Agent
A website-embedded co-pilot so patients can engage the clinic anytime, from any device, with staff oversight through a shared inbox.
Real-time booking and appointment changes
Identity verification for returning patients
Conversation summaries in an admin inbox
Answers from a trained knowledge base
Full training suite: documents, URLs, prompts, retraining
Prescription refill workflows
AI Scribe
Converts doctor-patient consultations into structured clinical notes, cutting documentation from hours to minutes.
Live transcription or uploaded audio processing
Auto-generated notes in SOAP format
PDF export for final documentation
NLP extraction of clinical details
Editable sections for clinical review
Automatic storage in the patient record
Consultation audio
AI Referrals
OCR extraction of patient and referral data
Automated outbound verification calls
Scheduling only when a valid referral exists
Phone number matching for identity
Eligibility checks for HMO and IHP patients
eFax, telephony, and EMR integration
Appointment
booked
AI Voice Mail & eFax
A centralized, AI-managed communications layer for everything that arrives outside a live conversation.
Voicemail transcription and classification
Prioritization and urgent-request routing
Automatic tagging and purpose detection
Outbound eFax follow-ups for missing information
Voice mail received
Transcribed &
classified
Tagged & prioritized
Routed or queued for
morning
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.
Interdepartmental transfers between AI agents
Routing logic per department and request type
Warm handoff to human agents with context carried over
Every leg of the call logged against the patient record
Call in progress
AI to department agent
Warm handoff to human
Every leg logged
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
Call answered, no voicemail wall
Patient describes the issue to the agent
02:05
Request triaged as urgent
Non-urgent requests go to AI Voice Mail for morning
02:06
Agent pings the on-call doctor
An outbound call, not a message that can be missed
02:08
No answer, agent pings again
The loop repeats until a doctor confirms
02:11
Doctor replies, patient handled
Every step logged against the patient record
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.
AH
AthenaHealth
Live integration
aMD
AdvancedMD
Live integration
eCW
eClinicalWorks
Live integration
MM
ModMed & EMA
Live integration
CMG
CMG
Live integration
He
Healow
Live integration
Pr
Prescia
Live integration
NG
NextGen
Live integration
Running a different EHR? New systems are added via API connectors, not rebuilds.
Automated workflows we build on top.
Scheduling
Agents book, reschedule, and cancel directly against live doctor calendars, with every change written back to the EHR in real time.
Refills
Prescription requests captured on voice or chat are verified against the patient record and routed into the clinical queue.
Referrals
Records
Calls, voice mails, notes, and transfers are logged against the patient record automatically, so nothing lives outside the system.
How the agent qualifies insurance before booking.
01
Capture
The agent collects payer, plan, and member details from the patient during the call or chat.
02
Verify
Patient identity is matched against the record before any account action.
03
Check Eligibility
Coverage is checked against the clinic's accepted plans, including HMO and IHP eligibility rules.
04
Qualify
Only qualified patients proceed to booking. Exceptions route to staff instead of failing silently.
05
Book & Write
The appointment is booked against the live calendar and written to the EHR with the eligibility result logged.
Discovery
01
Map the Clinic's Workflows
Design
02
Agree Agents and Integrations
Build
03
Ship Against Real Systems
Deploy
04
Run, Monitor, Measure
Questions We Get
From Clinic Operators and Administrators.
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