Normalized claim
Time: 15 seconds decrease
Reduced patient booking time from one hour to 15 seconds.
FDC Dental AI Chatbot Booking and HR Screening on Google Cloud
Use case typeAutomotive operations automationUpdated Jun 13, 2026
FDC Dental, a healthcare company in Indonesia, aimed to improve patient booking efficiency and HR recruitment scalability amid rapid expansion. They developed an AI-powered chat-based booking system using Google Cloud technologies including Vertex AI and Gemini models for natural language interaction, Cloud Run for auto-scaling, and Google Kubernetes Engine for infrastructure. The AI chatbot reduced patient booking time from one hour to 15 seconds, enabled automated screening of hundreds of CVs rapidly, and cut infrastructure costs by 35%. The system scales from one agent per clinic to one agent serving 30 clinics, increasing operational efficiency and supporting growth plans.
- Organization
- FDC Dental
- Industry
- Healthcare
- Location
- Indonesia
- Published
- May 2026
Reported outcomes
−35%
costCost savings
15 secondstime
Strategic outcomes
New product / capabilityLaunched AI-powered chat booking systemSpeed & agilityStreamlined patient booking processScale & capacityEnabled scalable clinic growthNew product / capabilityAutomated high-volume HR screening
Catalog median for cost savings deployments: −40% across 177 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Cost: 35% decrease
Cut infrastructure costs by 35% through serverless auto-scaling.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- FDC Dental
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
The system scales from one agent per clinic to one agent serving 30 clinics, increasing operational efficiency and supporting growth plans
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1AI Chatbot Booking
- 2HR Recruitment Automation
- 3Operational Scalability
- Manual, unscalable patient booking caused patient wait times up to one hour and created operational bottlenecks.
- Manual HR recruitment screening was too slow to meet demand during rapid company growth.
- Implemented an AI-powered chat-based booking system using Google Cloud Vertex AI and Gemini models to provide natural language conversation and personalized interactions.
- Used Cloud Run for serverless auto-scaling to handle demand fluctuations efficiently while reducing infrastructure costs.
- Utilized Google Kubernetes Engine for scalable and resilient deployment of AI services.
Technologies
- Reduced patient booking time from one hour to 15 seconds.
- Enabled HR to screen hundreds of CVs in the time it previously took to process one.
- Cut infrastructure costs by 35% through serverless auto-scaling.
- Increased operational scalability to support company growth from 30 to over 100 clinics.
Architecture
Architecture is built on Google Cloud with an AI chatbot using Vertex AI and Gemini models for natural language booking, Cloud Run for automated serverless scaling, and Google Kubernetes Engine for infrastructure management.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 10, 2026Publisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High
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