Healthcare Case Study | Aesthetic Clinic, Miami, Florida

AI in Healthcare Case Study: Aesthetic Clinic in Miami Reduces Missed Calls and Books More Consultations

  • 74%
    Fewer Missed Patient Calls
  • 38%
    More Appointments Booked From Inbound Calls
  • Under 1
    Second Average Pickup Time
  • 120 Admin
    Hours Returned to Staff Per Month

An aesthetic clinic in Miami, struggling with high call volumes that led to missed appointments and front-desk overload, integrated AI Answering to manage all inbound communication. This system automated patient intake, booking, and reminders 24/7, allowing the staff to focus exclusively on in-office patient care. Consequently, the clinic achieved significantly fewer missed calls and an increase in booked consultations

Practice Snapshot

A short profile of the sample practice featured in this mockup.

Practice Type

Aesthetic clinic offering cosmetic injectables, laser treatments, and skin treatments

Location

Miami, Florida

Team Size

Lean front desk team supporting multiple providers and treatment rooms

Monthly Call Volume

Approximately 600 inbound patient inquiries

The Challenge

Faced with high call volumes, the clinic struggled to balance inbound inquiries with in-office patient care, leading to missed opportunities and delayed appointment bookings. Consequently, many high-intent calls during peak and after-hours periods went unanswered, creating operational gaps that hindered patient intake.

At the same time, the front desk was balancing ringing phones with in-office responsibilities like patient check-in, payments, schedule coordination, and provider support. Calls that came in during lunch, evenings, weekends, and other overflow periods often went unanswered, while consultation requests and callbacks were delayed until staff had time to respond.

The operational gaps added up quickly:

  • New patient and consultation intake details were captured inconsistently.
  • Reminders and follow-up calls were handled manually, creating avoidable gaps.
  • Missed-call callbacks often happened too late to recover the opportunity.
  • Leadership had limited visibility into call reasons, missed calls, booking opportunities, and follow-up outcomes.

The Execution

Step 1: Mapped the Clinic's Call Flow
Step 2:  Built a Custom Intake and Booking Workflow
Step 3: Added After-Hours and Overflow Coverage
Step 4: Automated Reminders and Follow-Ups
Step 5: Created Visibility Across Every Call

Mapped the Clinic's Call Flow

Before going live, AI Answering reviewed the clinic's most common inbound call types, including new patient consultation requests, returning patient follow-ups, treatment pricing questions, after-hours inquiries, and escalation scenarios requiring immediate staff involvement.

The team identified which calls needed immediate booking, which required provider routing, and which could be handled through automated follow-up

Built a Custom Intake and Booking Workflow

The AI was configured to greet callers with the clinic's tone and branding, collect patient contact details and treatment interest, check real-time provider availability, and confirm consultation bookings before the caller hung up.

New patient intake fields were standardized so every call captured the same information regardless of time of day or call volume.

Added After-Hours and Overflow Coverage

The clinic's after-hours and overflow calls were routed through the same AI workflow, so evening callers, weekend inquiries, and calls that came in during peak front desk activity were answered immediately rather than pushed to voicemail.

No calls required a callback to capture the basic booking information.

Automated Reminders and Follow-Ups

Once a consultation was booked, the platform sent confirmation messages automatically via SMS or email and ran a multi-step reminder sequence before the appointment date.

Missed inbound calls triggered automated outbound follow-ups so the clinic could reach those callers without the front desk manually working through a callback list.

Created Visibility Across Every Call

Every call was logged in the dashboard with a full transcript, audio recording, and AI-generated summary. Call outcome tags indicated whether an appointment was booked, intake was completed, or an escalation was triggered.

Leadership could review call volume, missed call rates, consultation booking activity, and follow-up outcomes in real time without having to ask the front desk for a status update.

Book a Consultation

Plans & Pricing

Before vs. After AI Answering

See how the practice's call workflow changed across the areas that mattered most.

Operational Area
Call coverage
Appointment scheduling
Intake collection
Follow-up calls
Patient reminders
Reporting visibility
Front desk workload
Before AI Answering
After-hours and overflow calls went to voicemail
Booked manually, often through callbacks
Inconsistent fields, varied by staff and call timing
Done manually when staff had time
Manual, inconsistent across the week
Partial notes and end-of-day summaries
Phones competed with in-office patients all day
After AI Answering
24/7 coverage including evenings, weekends, and overflow
Booked during the call with real-time calendar checks
Structured intake captured the same way on every call
Automated outbound follow-ups for missed calls and incomplete intake
Automated multi-step SMS, email, and voice reminders
Real-time dashboard with call volume, transcripts, recordings, and outcomes
Front desk focused on in-office care, with AI handling routine calls
After AI Answering
Before AI Answering
Operational Area
Call coverage
Appointment scheduling
Intake collection
Follow-up calls
Patient reminders
Reporting visibility
Front desk workload
24/7 coverage including evenings, weekends, and overflow
Booked during the call with real-time calendar checks
Structured intake captured the same way on every call
Automated outbound follow-ups for missed calls and incomplete intake
Automated multi-step SMS, email, and voice reminders
Real-time dashboard with call volume, transcripts, recordings, and outcomes
Front desk focused on in-office care, with AI handling routine calls
Operational Area
Call coverage
Appointment scheduling
Intake collection
Follow-up calls
Patient reminders
Reporting visibility
Front desk workload
After-hours and overflow calls went to voicemail
Booked manually, often through callbacks
Inconsistent fields, varied by staff and call timing
Done manually when staff had time
Manual, inconsistent across the week
Partial notes and end-of-day summaries
Phones competed with in-office patients all day

What the Practice Had to Say

Two shields with gradient purple-blue edges, one with medical caduceus, the other with checkmark.

"Our front desk was constantly choosing between the phone and the patient standing in front of them. With AI Answering, every call gets picked up right away, appointments get booked while the patient is still on the line, and reminders go out without anyone on our team running a list. Our team finally has time to focus on the patients in the office.”

Practice Administrator
Multi-Provider Primary Care Clinic
City, State

"Appointment no-shows dropped noticeably once reminders started going out consistently. The AI handles the calls and our front desk handles patients. That separation alone changed how the day runs."

Practice Administrator,
Multi-Location Medical Practice
City, State

"Our agents are in the field all day and buyer calls were going to voicemail constantly. Now every missed call gets a follow-up automatically and leads are still warm by the time an agent connects with them."

Broker,
Residential Real Estate Team
City, State

Every Patient Call Handled. Every Appointment Captured.

See how AI Answering works for your practice. Start your 1-month free trial and test it with your own patient calls. No credit card required. We configure the platform around your scripts, intake fields, scheduling rules, and escalation logic before you go live.

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