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How a Multi-Location Clinic Reduced No-Shows by 45% With AI Appointment Scheduling https://legiblemarketing.com/en/case-studies/healthcare-clinic-ai-appointment-booking

Client

HealthFirst Clinics (Healthcare) Global

The Challenge

A multi-location clinic with 12 providers was losing 35% of new patient calls to voicemail during peak hours. Front desk staff juggled walk-ins, insurance verification, and phone calls simultaneously. Patients who reached voicemail rarely called back, and there was no system to follow up with missed callers. No-show rates were at 28% because reminder calls were manual and inconsistent.

Our AI-Powered Solution by Legible Marketing

We deployed AI voice agents to handle all incoming patient calls 24/7 with natural language scheduling in English and Spanish. The AI qualifies patients by insurance, procedure type, and urgency, then books directly into provider calendars via Google Calendar integration. Automated SMS and email reminders reduced no-shows dramatically. For complex cases, the AI warm-transfers to staff with full context so patients never repeat themselves.

Implementation timeline
An example of how rollout looks week by week.
  1. Week 1 — Setup
    Define goals, configure modules, permissions, and tracking.
  2. Week 2 — Launch
    Enable flows, queues, and automations; run QA.
  3. Week 3 — Optimize
    Iterate scripts, routing, and reporting based on data.
  4. Week 4 — Scale
    Increase volume, expand channels, and standardize operations.
What we did
  • - Module and permission setup
  • - Automations and routing
  • - Dashboards and reporting
  • - Result-driven iteration
What the client did
  • - Approvals (copy/policies)
  • - Goal and offer alignment
  • - Weekly review of results

Key Results & Impact

callAnswerRate
98%
noShowReduction
45%
revenueRecovered
$180K
afterHoursBookings
120+/mo
How we measured
We measure KPIs against a prior baseline and attribute results by campaign, channel, and operations.

Client Testimonial

"Our no-show rate dropped from 28% to 15%, and we went from missing a third of our calls to answering every single one. Patients love that they can book at any hour."

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