Healthcare·Pre-seed → Series C

How AyuHealth Cut Operational Load 50% with WhatsApp & IVR Automation

Built WhatsApp Business API chatbot and IVR automation for patient communication — reducing operational load by 50%+ across 100+ hospitals

WhatsApp Business APIIVRJavaSpring BootAWSEvent-Driven
-50%
Operational Load
100+
Hospitals Served
WhatsApp + IVR
Channels Automated
3 months
Timeline

The Challenge

As AyuHealth scaled across 100+ hospitals, the volume of patient communication grew exponentially — appointment confirmations, test result notifications, billing inquiries, follow-up reminders, and inbound support requests.

The support team was drowning:

  • Repetitive queries consumed agent time — "What time is my appointment?", "Where is my report?", "How do I pay my bill?" — the same questions, hundreds of times a day
  • Missed follow-ups — patients who didn't receive timely reminders dropped off, costing surgeries
  • No after-hours support — patients calling at night got voicemail, many never called back
  • Scaling linearly wasn't sustainable — adding agents for every new hospital broke the unit economics

The Solution

Built an automated communication layer across the two channels patients actually use — WhatsApp and phone.

WhatsApp Business API Integration

  • Chatbot flows for the most common patient interactions — appointment booking, report delivery, billing status, pre-surgery instructions
  • Template-based outbound messaging — automated appointment reminders, follow-up nudges, and payment confirmations
  • Seamless handoff to human agents when the chatbot detects complex queries or patient frustration
  • Rich media support — sending test reports, hospital maps, and instruction documents directly in the chat

IVR Automation

  • Intelligent call routing — inbound calls automatically categorized and routed based on patient history and inquiry type
  • Automated outbound calls for appointment confirmations and reminders
  • Self-service options for common queries — patients get answers without waiting for an agent
  • Integration with the calling system — IVR data feeds into lead scoring for prioritized callback

Unified Communication Layer

Both channels feed into the same backend — patient context travels across WhatsApp, IVR, and manual agent interactions so no one asks the patient to repeat themselves.

The Impact

  • 50%+ reduction in operational load — automation handles the volume, humans handle the complexity
  • Instant response time for common queries — no more hold queues or missed calls
  • 100+ hospitals served through a single automated communication layer
  • Improved patient retention — timely reminders and easy communication keep patients in the funnel
  • Support team scaled sub-linearly — 10x more hospitals without 10x more agents

Testimonial

"I worked with Yatharth for almost 2 years across a range of very complex product implementations. There are 3 areas where Yatharth raises the bar: Implementing complex technology — he helped me build a product for prioritizing and routing, in real-time, incoming calls to our call center. This was a highly complex piece of work delivered over many months with a near flawless, defect-free go-live. Simplifying product launches — for another large feature-set going live, he suggested breaking down the product into 3 logical phases based on a solid understanding of the product, creating no new tech overhead and shortening time to use. Super-responsive — business teams would feel comfortable approaching him for any support. Overall, a very sound tech-leader."

Gaurav Gadgil, Head of Product, AyuHealth

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