AI case study

FDC DentalPatient scheduling

Chat queues of 2,000 requests forced hour-long waits. AI now books patients in local dialects, scaling instantly to meet demand.

Published|5 months ago

Key results

Coverage Per Agent
30 clinics
vs 1 clinic

Result highlights

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The story

Context

An Indonesian healthcare provider expanding operations in a market where only 12% of the population has regular access to dental services.

Challenge

Manual chat-based booking created queues of up to 2,000 requests and hour-long wait times for patients. Additionally, expansion plans were stalled by...

Solution
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Scope & timeline

  • Patient booking time cut from 1 hour to 15 seconds
  • Hundreds of CVs screened in time of one manual review

The company

Chain of dental clinics providing general, orthodontic, and aesthetic oral care.

IndustryHealthcare Providers
LocationJakarta, Indonesia
Employees51-250
Founded2010

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Tridorian logo

Tridorian

tridorian.com
Role in this case study

Helped FDC Dental build the solution architecture for its AI-powered patient booking platform.

IndustryTechnology
LocationJakarta, Indonesia
Employees11-50
Founded2022

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