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Agentic AI Case Studies

AI That Works While Your Team Treats Patients

Three dental practices. Three custom-built agentic workflows. Measurable results in new patients, hygiene utilization, and multi-location revenue.

61%
Inquiry-to-appointment conversion
88%
Hygiene chair utilization
40%
Reduction in last-minute open slots
22%
Fewer no-shows across locations
Case Study 01 · Miami, FL

The New Patient Engine for a Cosmetic-Focused Practice

A single-location cosmetic and general practice had strong clinical skills but no reliable way to follow up with leads. Capacity 3 built an AI workflow that acted as a virtual new-patient coordinator—around the clock.

61%
Inquiry-to-appointment conversion
<3 min
Average response to new leads
Booked cosmetic consults
0
New front desk hires needed

The Challenge

The practice was losing leads to slow response times. High-value cosmetic consults would "ghost" after the first call. The front desk was overwhelmed and many web and social inquiries went unanswered until the next business day.

  • No reliable system to follow up with web leads and DMs
  • Team overwhelmed; many inquiries delayed or missed entirely
  • Cosmetic consults frequently ghosted after initial contact

Client Overview

Single-location general and cosmetic dental practice in Miami, serving patients seeking implants, Invisalign, whitening, and full smile transformations. Strong clinical reputation, heavy competition.

Strategy — 3 Workflow Phases

1

Omnichannel Lead Capture

AI monitored website forms, chat, Instagram, and Facebook messages in real time—responding within minutes with answers about insurance, pricing, and availability.

2

Smart Calendar Booking

The agent checked live availability, proposed 2–3 time options, and booked appointments directly—or created staff tasks when human approval was required.

3

Treatment-Specific Follow-Up

After consults, the workflow automatically followed up with financing info, FAQs, and next steps tailored to each treatment type—so the TC didn't chase every lead manually.

Weeks 1–2
Audit of current lead flow; mapping all inbound channels (web, social, phone).
Weeks 3–4
AI workflow built and connected to website forms, Instagram, and Facebook DMs.
Month 2
Calendar integration live; automated booking and pre-visit intake active.
Month 3
Post-consult follow-up sequences deployed; conversion tracking confirmed.
61%
Conversion Rate
Up from 32%—inquiry to booked appointment
<3 min
Lead Response Time
Down from next-business-day
Cosmetic Consults
Booked without adding front-desk headcount
Less Stress
Staff Sentiment
Team reported feeling less frantic and more focused on in-office patients

Speed is the #1 lever in cosmetic dental conversion. Responding in 3 minutes vs. 3 hours is the difference between a booked consult and a lost patient.

🔄

AI doesn't replace the front desk—it handles the repetitive first touch so your team can focus on the patients already in the chair.

🎯

Treatment-specific follow-ups outperform generic "just checking in" messages. Relevance drives action.

"Running a great practice but not getting found? Book a strategy call with Capacity 3."

Book a Strategy Call →
Case Study 02 · Broward County, FL

Hygiene Reactivation & Recall for a Family Practice

A Broward County family practice had thousands of inactive patients and chronically open hygiene slots. Capacity 3 built an AI-driven recall system that turned dormant records into booked appointments—automatically.

18%
Inactive patients reactivated in 6 months
88%
Hygiene chair utilization (up from 68%)
+19%
Monthly production increase
60%
Less manual recall work for front office

The Challenge

Hygienists had open slots nearly every day. The team knew they had a large inactive patient base but had no efficient way to reach them. Manual phone call campaigns were time-consuming and yielded low returns.

  • Thousands of patients overdue for hygiene, perio, or treatment
  • No smart segmentation—everyone received the same generic reminder
  • Front office spending hours per week on manual recall calls

Client Overview

Single-location family dental practice in Broward County with a large, established patient base. Strong hygiene and restorative team but operating below capacity due to scheduling inefficiencies.

Strategy — 3 Workflow Phases

1

Intelligent Patient Segmentation

Nightly database scans identified overdue patients by risk profile—separating perio maintenance, general hygiene, and patients with unscheduled treatment plans for targeted outreach.

2

Personalized Recall Sequences

AI-generated SMS and email outreach referenced each patient's last visit type and typical concerns—sounding human, not like a broadcast. Patients could tap a link and self-schedule open hygiene slots.

3

High-Risk Patient Escalation

Perio and multi-treatment patients were routed to a human coordinator with AI-generated call scripts and chart summaries—so every call started informed, not cold.

Week 1–2
Database audit; patient segmentation model built and validated.
Weeks 3–4
First recall sequences live; A/B testing message tone and timing.
Months 2–4
Escalation routing active for high-risk patients; self-scheduling link embedded in messages.
Months 5–6
Workflow self-optimizes send times and message variations based on open and booking rates.
18%
Reactivation Rate
Of inactive patients booked within 6 months
88%
Chair Utilization
Up from 68%—hygiene schedule nearly full
+19%
Monthly Production
From additional restorative and perio discovered at recall
60%
Less Manual Work
Front office hours saved on recall activities weekly
🧠

Segmentation is everything. Patients with perio histories need a different message than someone 6 months overdue for a cleaning—AI makes that personalization scalable.

📱

Self-scheduling links remove friction. Patients are far more likely to book when they can do it in two taps at 9 PM than by calling during office hours.

💰

Hygiene reactivation is a direct path to restorative revenue—every recall appointment is also a diagnosis opportunity.

"Open hygiene slots every week? There's a smarter way to fill them. Book a strategy call with Capacity 3."

Book a Strategy Call →
Case Study 03 · South Florida (3 Locations)

The Multi-Location Operations Copilot

A three-location group practice had fragmented data, reactive scheduling, and owners spending hours each week assembling reports. Capacity 3 built an AI operations copilot that monitors, alerts, fills gaps, and reports—automatically.

30–40%
Of last-minute high-value slots filled
22%
Reduction in no-shows
Hrs/wk
Saved by owners on manual reporting
3 sites
Unified into one real-time dashboard

The Challenge

With three locations running simultaneously, the owners had no real-time view of performance. High-value appointment gaps went unfilled, no-shows were handled reactively, and monthly reporting took hours to compile manually.

  • Complex scheduling across GP and specialty providers at 3 locations
  • Fragmented reporting—no unified view of production, collections, or KPIs
  • Last-minute openings regularly going unused, costing revenue daily

Client Overview

Three-location group practice in South Florida comprising general dentistry and specialty services (endo, oral surgery). Growing rapidly but operationally stretched, with ownership looking to scale without adding administrative overhead.

Strategy — 4 Workflow Phases

1

Real-Time Schedule Intelligence

AI monitored all three schedules continuously, flagging high-value openings and triggering targeted outreach to patients needing that specific treatment type—filling gaps before the day started.

2

Daily Morning Huddle Briefs

Each office received an AI-generated brief every morning: yesterday's production summary, today's risks, unscheduled treatment opportunities, and key patients to watch (anxious, VIP, payment flags).

3

Smart Reminders to Reduce No-Shows

Reminder sequences were calibrated by patient history, appointment type, and time-of-day preference—not a blanket blast. High-risk no-show patients got a direct follow-up call prompt for staff.

4

Automated Owner Reporting

Weekly and monthly performance reports were generated automatically with AI-written commentary, plain-English insights, and trend flags—ready to review in 5 minutes instead of assembled over hours.

Month 1
Data architecture review; integration with practice management systems across all 3 locations.
Month 2
Morning huddle briefs live; schedule monitoring and gap-fill outreach active at Location 1.
Month 3
Rollout to Locations 2 and 3; smart no-show reminders deployed across all sites.
Month 4+
Automated owner reporting live; ongoing optimization based on production and utilization data.
30–40%
Gap Fill Rate
High-value last-minute openings filled that previously went unused
22%
Fewer No-Shows
Across all three locations after smart reminders deployed
Hours Saved
Owner Time Weekly
Eliminated manual reporting and KPI compilation entirely
Clearer Decisions
Leadership Visibility
Owners now have real-time insight into all three locations in one view
📊

Multi-location practices don't have an information problem—they have an information-delivery problem. AI surfaces what matters, when it matters, without a meeting.

🕐

Every unfilled high-value slot is a fixed cost with zero revenue. Proactive gap-filling is one of the highest-ROI applications of AI in a group practice.

🔍

When owners stop assembling reports and start reading insights, they make better decisions faster—and focus on growth rather than administration.

"Running multiple locations and spending your time on reports instead of growth? Book a strategy call with Capacity 3."

Book a Strategy Call →

Ready to Put AI to Work in Your Practice?

Every workflow Capacity 3 builds is custom—designed around your systems, your patients, and your growth goals.

Book a Free Strategy Call →