The ROI of AI Receptionists: Real Numbers From Real Clinics

Beyond the Hype: Actual Results

There's no shortage of AI marketing claims. So instead of promises, here are three real case studies from healthcare practices that switched to AI receptionist technology in 2025–2026. Numbers have been anonymized at client request.

Case Study 1: 3-Location Dental Group (Ontario, Canada)

Before: Three dedicated front desk staff handling phones across locations. $52,000/year in combined receptionist salaries. 30–40 calls per day going unanswered after 5pm and on weekends.

After: Deployed AI receptionist across all three locations. Reduced front desk staff to two (handling in-person patients). AI handles all phone intake, booking, and FAQs.

• Annual payroll savings: $26,000
• New patients from after-hours calls (previously missed): +22/month
• Revenue from captured patients (avg $2,800 lifetime value): +$61,600/year
• AI platform cost: $7,200/year
• Net ROI: $80,400/year

Case Study 2: Family Medicine Clinic (British Columbia)

Before: Solo physician with one part-time receptionist. Constant complaints about calls going to voicemail. Losing patients to a nearby walk-in clinic.

After: AI receptionist for all inbound calls. Physician's part-time receptionist shifted to handling insurance billing and in-clinic coordination.

• Calls answered 24/7: +100% (from ~60% previously)
• New rostered patients in 6 months: +47
• Patient satisfaction scores: +1.2 points (out of 5)
• No-show rate (with AI reminder calls): -31%
• Platform paid for itself in 3 weeks

Case Study 3: Orthodontic Practice (Alberta)

Before: High call volume during school year. Peak times (after school, evenings) had 65% missed call rate. Previous answering service cost $800/month with poor quality.

After: Replaced the answering service with Marvic AI. AI handles consultations booking, treatment questions, and payment plan inquiries.

• Consultation bookings per month: +34%
• Answering service savings: $9,600/year
• Average new patient value: $4,200
• Additional consultations converted: ~12/month
• Net new revenue: $604,800/year from captured leads alone

Common Threads Across All Three

Looking at what drove results in each case:

• After-hours coverage was the single biggest revenue driver
• Immediate answer (no hold, no voicemail) dramatically improved conversion
• Staff reallocation — not staff replacement — was the implementation model
• ROI was positive within the first 60 days in all three cases

Is Your Practice Leaving Money on the Table?

If you're missing more than 15 calls per week, you almost certainly have a significant ROI opportunity. The math is straightforward: one captured new patient typically pays for 1–3 months of AI receptionist service.