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Kare Mobile reduces missed calls by 80% with Arini AI receptionist

“Kare Mobile reduces missed calls by 80% with Arini AI receptionist” documents a Patient Engagement & Access deployment in Dental & Oral Health at Kare Mobile. www.arini.ai reports missed call reduction: 80%; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

80%Missed Call Reduction
$56,000New Patient Revenue Booked (First 30 Days)
6 hoursStaff Time Saved Per Week

Source-reported figures — cited source: www.arini.ai

The Challenge

Kare Mobile's front office team was overwhelmed with inbound call volume, missing hundreds of calls per location every month. As a direct-to-consumer DSO operating both mobile dental trucks and acquiring traditional practices, they needed a scalable solution to handle new patient calls without increasing headcount.

The Solution

Arini implemented AI-powered virtual receptionists to handle all new patient inbound calls. Custom call flows were designed for booking comprehensive exams, cleanings, limited exams, and consultations. An extensive knowledge base was built covering FAQs and fleet-specific details to accurately represent Kare Mobile's unique direct-to-consumer model.

Results

Within the first 30 days, Arini booked over $56,000 worth of new patient appointments and saved the front desk over 24 hours of call handling time. Within two months, missed calls dropped by 80%, and staff saved 1–2 hours per day, freeing them to focus on in-person care and complex cases.

Key Takeaways

  • Automating new patient inbound calls can dramatically reduce missed opportunities without adding staff.
  • A well-built knowledge base is critical for AI receptionists in non-standard care delivery models (e.g., mobile DSOs).
  • Measurable ROI can appear within the first 30 days of AI receptionist deployment.

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Details

Company Size
MidMarket
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

Cited source

www.arini.ai

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