Real 90-day ROI data from 200+ US dental practices that deployed AI receptionists in 2025–2026.
Published April 2026 · Last updated June 2026
200+ dental practices across 38 states. Single-location and group. Deployment window: October 2025 – March 2026. ROI measured against the 90 days prior to deployment using practice-reported revenue, anonymized call logs, and PMS data.
Median payback period across all clinics: 47 days. Median year-1 ROI: 6.8x. Average monthly revenue lift attributable to AI receptionist: $4,800. Average front-desk overflow cost reduction: 68%.
In rank order: (1) recovered missed business-hours calls (42%), (2) net-new after-hours bookings (33%), (3) higher new-patient conversion from instant pickup (18%), (4) reduced no-shows from automated SMS confirms (7%).
Avoided second front-desk hire (median $48K/year), reduced reliance on traditional answering services ($14K/year average), and fewer hours of overflow temp coverage.
Top predictors of >10x ROI: (1) high pre-deployment missed-call rate (40%+), (2) strong PMS integration, (3) clear emergency protocol, (4) average new-patient value above $250, (5) weekly call-data review.
Clinics under 3x ROI typically share: (1) very low call volume (<200/month), (2) high-quality existing front desk already answering 95%+ of calls, (3) low new-patient value (<$120), (4) no after-hours search intent in their market.
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