AI voice agent development for healthcare

AI Voice Agent for Healthcare,
Built Around How Your
Organization Works

Packaged tools ask you to change your workflows. We build the voice agent around them: your EHR, your scheduling rules, your escalation paths and your security review. Patients get answered. Your team gets its time back.

Partners

Claude Partner Network OpenAI Select Partner

Discuss Your Project Goals

Tell us which calls hurt most today. We will follow up to scope the right starting point.

What this is

What Is an AI Voice Agent for Healthcare?

An AI voice agent for healthcare is software that answers and places patient phone calls in natural speech, understands what the caller needs, and completes approved tasks such as booking, rescheduling or routing a refill request. When a call needs human judgment, it hands off to staff with the full context.

Your options

Buy a Platform, Build It Yourself, or Build With a Partner?

There are dozens of AI voice companies selling ready-made healthcare tools, and some teams try to build everything in house. Both can work. Here is where each one fits.

Packaged AI voice tool Build in house Build with Concret.io
Best whenYour workflows are standard and the vendor already supports your EHRVoice AI is your core product and you have a voice teamYour workflows, systems or data rules do not fit a template
SpeedFast for common use casesSlow; telephony and orchestration take monthsPhased: one workflow live first, then expand
Fit to your rulesYou adapt to the vendorFull controlBuilt to your scheduling rules and escalation paths
IntegrationLimited to what the vendor supportsWhatever your team can buildDesigned around your EHR, PMS, CRM and phone system
OwnershipVendor owns the platform and configYou own everythingYou own the code, prompts and workflows at handover
Ongoing load on your teamLowHighShared, or handed over when you are ready
Packaged AI voice toolFast for standard workflows, but you adapt to the vendor and own nothing.
Build in houseFull control and ownership, but slow, and the ongoing load stays high.
Build with Concret.ioBuilt to your rules and systems, phased rollout, and you own the code at handover.

If a packaged tool fits, buy it. If it does not, you need an AI voice agent agency that builds to your requirements, not around its own roadmap.

How it works

How Does Healthcare Voice AI Work?

Every call moves through the same six steps. The design choices at each step decide whether the agent is useful, safe and trusted.

1

The call connects

Inbound or outbound, on your existing phone lines.

2

Speech becomes text

The agent hears names, medications and insurance terms accurately.

3

Intent is understood

It works out what the caller needs, even in their own words.

4

Rules decide the action

Your business rules, not the AI model, control what it may change.

5

The system is updated

It books, reschedules or routes the request in your EHR, PMS or CRM.

6

Everything is logged

Each action is confirmed with the caller and recorded for audit.

The AI handles the conversation. Your rules handle the decisions. That split keeps flexible conversations inside safe boundaries.

What it can automate

What Can Healthcare AI Voice Agents Automate?

The best candidates are calls your team answers hundreds of times a week, with a clear outcome at the end.

AI patient scheduling

Book, reschedule and cancel appointments while the patient is still on the line.

Appointment reminders

Call ahead, confirm attendance and fill the slot if someone cancels.

Refill requests

Capture the medication, pharmacy and patient details, then route them to the right clinical team.

New patient intake

Collect demographics, visit reason and insurance details before the first visit.

Referral intake

Gather referral details, spot missing information and route it for review.

After hours and overflow

Answer calls at night, on weekends and during peak hours instead of sending them to voicemail.

Front desk questions

Hours, locations, parking, visit preparation and accepted insurance, answered from approved content.

Smart routing

Send billing, records and clinical questions to the right person with the context already captured.

Think of it as an AI medical receptionist that does not just take messages. It finishes the task.

Do you want a voice agent for your healthcare? Let's connect!

Where to start

Which Healthcare Workflows Should You Automate First?

Do not start by automating the whole front desk. Ask four things about each call type: does it happen often, does it follow the same pattern, is the outcome clear with no clinical judgment needed, and can the agent reach the system it needs to update. Yes to all four is a strong first candidate.

Discuss Your Project Goals
WorkflowVolumePredictableNo clinical judgment Scheduling, confirmations, front deskYESYESYES Referral intake, refills, registrationSOMESOMEYES Clinical triage, disputes, distressed callersNONONO

Scheduling, confirmations, front desk

Volume
YES
Predictable
YES
No clinical judgment
YES

Referral intake, refills, registration

Volume
SOME
Predictable
SOME
No clinical judgment
YES

Clinical triage, disputes, distressed callers

Volume
NO
Predictable
NO
No clinical judgment
NO

Security and privacy

Built to Pass Your Security and Privacy Review

A voice call carries patient data through several services. We design every one of them with your privacy and security owners, not around them.

Data chain
Every service

We map every service that touches patient data, from the phone line to speech, language and storage, and design the stack with providers that offer Business Associate Agreements for their healthcare services.

Mapped with your team
Clinical scope
Zero clinical advice

The agent never gives clinical advice. Scoped access, encryption, minimal data in logs and a full audit trail of every action.

Audited, every call
Escalation
Immediate handoff

Urgent words, frustration or a request for a person trigger an immediate transfer, with the conversation summary passed to staff so patients never repeat themselves.

Context passed to staff

Compliance is a property of your full deployment, so your team reviews and approves the architecture before any patient call goes live.

Hear a Voice Agent We Built

Lumi is our own conversational voice agent for customer service, running in production. Talk to it in your browser and judge the speed, the interruptions and the handoff for yourself. Your healthcare agent is built on the same experience, shaped to your workflows.

Experience Lumi

How we work

From One Workflow to Every Line, Without the Stalled Pilot

Most healthcare AI pilots fail at the handoff to operations, not in the lab. Our process is built to get through that stage, every time.

Discuss Your Project Goals See the engagement models
4/4 Phases, every engagement
Discover
Design
Pilot
Expand
  • Discover INCLUDED
  • Design INCLUDED
  • Pilot INCLUDED
  • Expand INCLUDED

Choose how we work together

Build and Deliver

We build it and hand it over to your team.

Operate and Maintain

We run, monitor and improve it after launch.

Build, Operate, Transfer

We build and run it, then transfer it fully when you are ready.

Need engineers inside your own team instead? You can also hire AI developers from us.

How is AI helping healthcare?

How Is AI Helping Healthcare Right Now?

The fastest, safest gains are not in diagnosis. They are at the front door, where patients wait on hold and staff answer the same questions all day. AI agents in healthcare are taking routine calls off the queue, so people spend their time on the conversations that need them. Conversational AI in healthcare works best when it is connected to real systems and clear rules.

Fewer calls on hold Staff time back Connected to real systems

See the full AI Voice Agent page for what we build across industries.

FAQs

Questions Healthcare Teams Ask First

Security

Is an AI voice agent for healthcare HIPAA safe?

v
It can be, when every service that handles patient data is covered by the right agreements and safeguards. No product makes a deployment compliant on its own. We design the full data chain with your privacy and security team, and they approve it before go live.
Integrations

Can it work with our EHR?

v
We design integrations around your EHR, practice management system and CRM, using standard APIs such as FHIR and HL7 where available. Before we commit to scope, we confirm exactly what the agent can read and write in your environment.
Clinical boundaries

Will it give medical advice?

v
No. The agent handles administrative tasks only. Clinical questions and urgent symptoms go straight to your clinical team.
Pricing

What decides the cost?

v
Call volume, the number of workflows, integration depth and whether we run it after launch. We scope these with you before any work starts, so there are no surprise invoices.
Buy vs. build

How is this different from an AI agent for healthcare we can buy off the shelf?

v
Off the shelf tools fit standard workflows. We build when your rules, systems or data needs do not fit a template, and you own what we build.
Transparency

Do patients know they are talking to AI?

v
Yes. We recommend the agent says so at the start of every call, and patients can ask for a person at any time.

Ready when you are

Start With One Workflow

Tell us which calls hurt most today. We will map them, show you what an agent can safely take on and give you a clear scope before anything is built.

  • Clear scope before anything is built
  • You own what we build
  • No forced migration off your EHR

Hello, World!