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Case studies

Healthcare AI implementations, measured by operational outcomes

See how healthcare practices use Hello Voice, Mercury compliance, and workflow automation to solve specific operating problems: missed calls, after-hours leakage, front-desk overload, disconnected systems, practice launch complexity, and compliance exposure.

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  • 127 After-hours inquiries, 60 days
  • 50% Reduction in front-desk call burden
  • 8 weeks Full operating stack live
  • 37+ EHR/PMS integrations available
  • 1 Partner End-to-end implementation accountability

ContextMetrics reflect the specific practice context described in each case study. Results vary by call volume, staffing model, specialty, implementation scope, system access, and adoption process.

Choose the implementation motion closest to your practice

The two current case studies are not interchangeable. One proves retrofit capacity on a working stack. The other proves greenfield delivery from zero.

Scale existing stack

Add AI capacity without replacing systems that already work

Best for established practices with real call volume, staff pressure, and a working EHR, PMS, telephony, or patient-engagement layer that should stay in place.

127 After-hours inquiries, 60 days
50% Reduction in front-desk call burden

Use this path when: demand is outrunning staff, but your core systems are worth preserving.

Read the scale retrofit case study
Build from zero

Stand up the operating stack before launch or rebuild

Best for practices launching or rebuilding around a new operating model, where vendor selection, workflows, voice coverage, payments, and compliance need one accountable owner.

8 weeks Full operating stack live
1 Implementation partner across the launch stack

Use this path when: the operating model needs to be designed, built, governed, and launched as one system.

Read the greenfield build case study

Self-diagnose the operational drag

Each problem below maps to the AI infrastructure Hello implements to solve it.

Missed calls

Patients call when your team is unavailable, busy, or closed. Hello Voice captures and qualifies inquiries 24/7, then routes, escalates, or books into supported practice systems where integration access allows.

After-hours leakage

High-intent inquiries arrive outside business hours and disappear into voicemail. Hello turns after-hours demand into captured opportunities with AI voice coverage, lead qualification, and next-step workflows.

Staff overload

Your front desk is buried in routine calls, confirmations, routing, intake questions, and follow-up. Workflow Automation handles repetitive work so staff can focus on patients and high-value conversations.

Disconnected systems

Your EHR, PMS, scheduling, billing, CRM, forms, phones, and payment workflows do not operate as one system. Mercury connects AI workflows to the systems your practice depends on, with 37+ EHR/PMS integrations and 200+ supported integrations across the broader operating stack.

Practice launch complexity

Building from zero creates system-selection drag, vendor coordination, and launch delays. Hello stands up the operating stack in weeks as one accountable implementation partner.

Compliance exposure

HIPAA responsibility does not disappear when AI is outsourced. Mercury adds encrypted retention, auditability, policy controls, and patient-data governance to AI-driven workflows.

Implementation stories by practice type

Each case study shows the operating problem, the Hello infrastructure deployed, and the measurable result.

Filter by high-value pattern

Showing 2 of 2 case studies.

Filter by service or deployment type

Multi-provider clinic

Jack Zamora, MD

Oculofacial Plastic Surgery · Multi-provider · Denver, Colorado

Hello helped convert after-hours inquiries into captured opportunities while reducing front-desk call burden.

The problem

After-hours inquiries were going to voicemail while the front desk managed more than 1,400 monthly calls.

Hello deployed

  • 24/7 AI Voice Agents
  • AI Lead Qualification
  • AI Revenue Operations
  • Patient Routing & Handoff
  • PMS Implementation
  • Mercury Compliance

The outcome

After-hours inquiries became captured opportunities, and the front desk handled roughly half the prior daily call burden.

127 After-hours inquiries, 60 days
50% Reduction in front-desk call burden

Services deployed

  • AI Voice
  • AI Lead Qualification
  • AI Revenue Operations
  • After-Hours Coverage
  • Patient Routing
  • PMS Implementation
  • Mercury

Best fit: Established practices with a working stack, high inbound demand, and staff capacity constraints.

Read the surgical practice case study

New practice launch

Dr Laura Lepczyk

Functional Medicine · Solo Telehealth · Colorado

Hello stood up a complete operating stack for a new practice launch as one accountable implementation partner.

The problem

The practice was launching from zero and needed the website, CRM, clinical platform, intake, payments, voice, and operating workflows coordinated before going live.

Hello deployed

  • Website Foundation
  • CRM Configuration
  • Clinical Workflow Setup
  • AI Voice Agents
  • PMS Implementation
  • Payments & Launch Systems
  • Mercury Compliance

The outcome

The practice launched with one accountable implementation partner and a working operating model instead of disconnected vendors and single-purpose tools.

8 weeks Full operating stack live
1 Accountable implementation partner across website, CRM, voice, workflows, Mercury, and launch systems

Services deployed

  • Workflow Automation
  • AI Voice
  • Mercury
  • End-to-End Build
  • Practice Launch
  • PMS Implementation

Best fit: New or rebuilding practices that need one accountable partner for systems, workflows, voice, and governance.

Read the practice launch case study

The implementation pattern

What these implementations had in common

Different practice types. Different operating problems. The same implementation principle: AI only creates value when it is connected to the workflows, systems, and compliance requirements of the practice.

Hello Voice

AI voice agents answer inbound calls, capture caller intent, support after-hours coverage, route patients, and reduce avoidable staff interruption.

Workflow Automation

Workflow Automation connects intake, follow-up, booking, lead qualification, staff handoffs, payment workflows, and operational tasks across the practice.

Mercury Compliance

Mercury adds governance, auditability, encrypted retention, policy controls, and patient-data oversight to AI-driven workflows.

Done-for-you Implementation

Hello handles system design, configuration, integration support, launch testing, monitoring, and post-launch iteration.

Self-recognition

Which operating problem matches your practice?

Use the matrix below to map the symptom to a motion, a proof point, and the best next page.

Problem Best-fit motion Proof point Recommended next step
We miss calls after hours Scale existing stack 127 after-hours inquiries captured in 60 days Read the Zamora retrofit
Our front desk is overloaded Scale existing stack 50% reduction in front-desk call burden Request an Audit
Our systems do not talk Scale existing stack or greenfield build 37+ EHR/PMS integrations available through the Mercury-connected implementation layer Review Mercury
We are launching or rebuilding the practice Greenfield build Full operating stack live in eight weeks Read the Lepczyk build
We need AI workflow governance Both motions Mercury governance across voice, workflow, and patient-data paths Review the governance layer

Find the operating drag before adding more staff

Hello reviews your call flow, front-desk workload, booking process, patient intake, system stack, and compliance requirements to identify where AI can remove friction without creating new operational risk.

Request an Audit Book a Consultation

Built for healthcare workflows where governance matters

Hello implementations are designed for healthcare environments where patient data, call handling, consent, routing, retention, auditability, and escalation paths matter from day one.

  • Encrypted retention

    Patient interactions encrypted at rest and in transit across voice, workflow, and data layers.

  • Audit-ready interaction records

    Timestamped, reviewable trail of every call, handoff, and workflow step.

  • Policy-aware workflow design

    Routing, escalation, and staff handoff paths designed to respect clinical policy.

  • Patient-data governance

    Scoped access, retention windows, and consent-aware processing by default.

  • BAA-backed implementation

    Business Associate Agreements in place where covered-entity scope requires.

  • Mercury compliance infrastructure

    Governance layer that enforces policy controls across AI-driven patient workflows.

Ready to see what Hello would implement for your practice?

Bring your call volume, workflow bottlenecks, system stack, and growth goals. Hello will help identify the highest-value AI implementation path for your practice.

Book a Consultation Request an Audit