Getting Started

Step-by-step implementation of voice AI for healthcare practices — from integration testing to full deployment

Implementing voice AI requires EMR integration testing, workflow configuration, and team training. Most practices are live within 2-4 weeks. Learn the deployment process and common pitfalls to avoid.

Step 1: Verify EMR integration — test appointment write-back and new patient creation (name, DOB, phone) with your system
Step 2: Define intake workflow — specify which questions to ask, which information to capture, and how to route calls based on urgency
Step 3: Configure triage logic — map your clinical workflow, urgency criteria, and escalation rules to the system
Step 4: Pilot with one department or provider — test with limited volume, gather feedback, and refine before full rollout
Step 5: Train front-desk and clinical staff — show your team how to review intake summaries, manage escalations, and handle edge cases
Step 6: Go live and monitor — track call volume, appointment conversion, and staff feedback during first 2-4 weeks

How it pays back

Integration testing prevents post-launch failures

Test appointment write-back and new patient record creation (name, DOB, phone) before going live. Clinical content, allergies, medications, and symptoms are captured as structured summaries for your team to review and file — not auto-populated into the chart. Broken integrations defeat the purpose of voice AI — fix them during pilot, not during full rollout.

Workflow configuration ownership

Your team defines triage logic, intake questions, and escalation rules. The system is configured to your practice, not the other way around. This alignment reduces resistance and maximizes adoption.

Pilot phase builds staff confidence

Deploy voice AI with one department or provider first. Staff see the workflow, test edge cases, and provide feedback. Full rollout happens after team buy-in, not before.

Clear success metrics from day one

Track calls answered, appointments booked, intake captured, and staff time saved during the first month. Data-driven feedback accelerates optimization and demonstrates value to leadership.

Integration-first deployment

EMR connectivity verified before any calls are routed through the system

Workflow defined upfront

Your team owns intake questions, triage logic, and escalation rules — not the vendor

Pilot phase included

Deploy with one department or provider first to test, gather feedback, and refine before full rollout

Team trained and ready

Your staff understand how to manage intake summaries, escalate urgent calls, and handle edge cases

Frequently asked questions

How long does voice AI deployment typically take?

Most practices go live within 2-4 weeks: 1 week for integration testing, 1 week for workflow configuration and staff training, and 1-2 weeks of pilot and refinement before full rollout.

What can go wrong during deployment?

Common issues include incomplete EMR integration, unclear triage logic, staff confusion about intake summaries, and missing edge cases. Thorough testing and a solid pilot phase catch and fix these before full rollout.

How do we know if the integration is working correctly?

Test a new patient call end-to-end: verify the appointment appears in your calendar and the patient record is created in your EMR with demographics (name, DOB, phone) filled in correctly. Do this 5-10 times before going live.

What if our staff resist the change?

Involve your team in workflow definition from the start. Show them how voice AI reduces their workload (no data re-entry, no voicemail loops). Staff buy-in during pilot makes full rollout seamless.

Can we test voice AI without replacing our current phone system?

Yes. Many practices run voice AI in parallel with their existing system for 1-2 weeks. Calls are routed to both, letting you compare quality and adjust before fully switching over.