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Case Study
2 min read

How We Automated 70% of Customer Bookings for Shah Clinics

Z

Zynteq Founders

Zynteq Strategy Team

The Challenge

Shah Multispeciality Clinic was struggling with their inbound call volume. Their reception desk was dealing with 100+ calls daily, mostly simple queries about timing, availability, and simple appointment requests. As a result:

  • Missed calls led to lost revenue.
  • The staff was overwhelmed, leading to patient dissatisfaction.
  • Long holding times for critical patients.

Our Approach

At Zynteq, we designed Voxbot, tailored specifically configured to the healthcare domain.

  1. Integration: We connected the AI directly to their existing Google Calendar and CRM.
  2. Training: The agent was trained on the clinic's FAQs, doctor schedules, and basic triage protocols.
  3. Deployment: We rolled out the WhatsApp and Voice variants within 8 days.

The Results

Within the first 30 days of deployment:

  • 70% of inbound calls were successfully handled by the AI without human intervention.
  • Revenue increased by 18% due to recapturing missed bookings.
  • Reception staff could now focus purely on in-person patient care.

"Zynteq didn't just build a bot; they solved a critical bottleneck in our daily operations." — Dr. Manish Shah

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