--- title: "Practo: improving patient booking with Ringg AI voice agents" description: "See how Practo used Ringg AI voice agents to improve patient booking, achieve 85% first call resolution, and handle 30k+ appointments with instant call response." canonical_url: "https://www.ringg.ai/case-studies/practo" last_updated: "2026-06-09T11:49:51.000Z" --- Healthcare Inbound voice # How Practo Improved Patient Booking with Ringg Practo used Ringg to handle appointment booking at scale through AI voice agents that answered instantly, checked availability, and confirmed bookings in real time. Published on: 13 May 2026 85% First call resolution rate < 3 secs Average response time 70% lower operational cost 1,000+ Daily bookings ## Overview For Practo, patient booking is not just a call center workflow. It is the front door to care. Every day, patients call to find the right doctor, check availability, and book appointments across thousands of healthcare facilities. At that scale, even small delays create friction. Long wait times, inconsistent call handling, and missed booking opportunities can quickly affect both patient experience and operational efficiency. That was the problem Practo wanted to solve, it did not just need more agents. It needed a better way to handle high volumes of appointment requests quickly, accurately, and consistently, without compromising on service quality. ![Practo-case-study](https://images.prismic.io/ringg-ai/agQJF6YofJOwHJ8-_practocasestudy.png?auto=format%2Ccompress&fit=max&w=3840) ## Why patient booking breaks under scale When a patient calls to book an appointment, they are not browsing casually. They want help immediately. They may need a specialist, a preferred time slot, or guidance on which doctor to consult. If that interaction takes too long, feels confusing, or requires multiple transfers, the experience breaks down fast. As volumes increase, teams need more agents, more training, more oversight, and more infrastructure. Even then, service quality can vary from one call to the next. Wait times rise during peak hours, and costs grow almost linearly with demand. Practo needed a way to scale booking operations without scaling those inefficiencies with them. ## How Practo built an AI first booking journey with Ringg Practo deployed Ringg AI voice agents across its hospital and clinic network to handle inbound booking calls. When a patient calls, the AI agent answers instantly and starts the conversation naturally. Instead of sending the caller through a rigid IVR tree, the agent understands what the patient wants, extracts the relevant details, checks live doctor availability through API integrations, and helps complete the booking in real time. That included: * Instant inbound call answering without hold times * Natural language conversations for appointment booking * Real time API checks for doctor availability and slot matching * Alternative recommendations when preferred slots were unavailable * End-to-end appointment confirmation without human intervention in most cases The idea was simple: remove the friction between a patient deciding to book and actually getting the appointment confirmed. SEE IT FOR YOUR TEAM We’ll show you a live agent booking appointments. In 10 minutes. [Book a walkthrough](https://www.ringg.ai/book-a-demo) ## Why voice AI worked for patient booking The AI voice agent could respond immediately, understand patient requests in natural language, and resolve the majority of booking calls without escalation. If a requested doctor or slot was unavailable, the system could recommend relevant alternatives instead of forcing the patient to start over or wait for a human callback. Instead of keeping patients on hold or routing them through manual processes, Practo was able to offer immediate assistance at scale. That improved both the experience for patients and the efficiency of the teams behind the scenes. The result was not just faster booking. It was a more reliable patient access experience. "The team has worked closely with us for over a year, during which we have managed to go from a simple pilot to booking ~1000 appointments daily. Their self-serve platform is easy to configure, which has allowed us to iterate quickly, experiment with multiple use cases, and run new pilots seamlessly. This has allowed us to provide a superior booking experience to patients with 24x7 assist." ![Nirbhay Image](https://images.prismic.io/ringg-ai/ah1ixweQX7-eWexL_Nirbhay.jpeg?auto=format%2Ccompress&w=1920&fit=crop) [Nirbhay Jnanendra](https://www.linkedin.com/in/nirbhay-jnanendra-91439b185/) Product Manager, Practo ## What changed across booking efficiency and patient experience 85% First call resolution rate < 3 secs Average response time 70% lower operational cost 1,000+ Daily appointments ## Built for healthcare booking speed, scale, and consistency The details Product and Operations teams care about before rollout. Instant call pickup Patients connected to a live AI voice agent in under 3 seconds Booking workflow automation From appointment intent to confirmed slot in a single conversation Real time scheduling integration Doctor availability and open slots fetched live through API integrations 24/7 booking availability Appointment calls handled round the clock without staffing constraints BUILD YOURS NEXT ## Your bookings. Answered in seconds. The Practo deployment shows what AI first patient booking looks like at scale. Every call answered instantly. Every appointment request handled with live availability and context. More bookings confirmed without adding operational overhead. In healthcare, speed builds trust. With AI, speed finally scales. [Book a demo](https://www.ringg.ai/book-a-demo)[See pricing](https://www.ringg.ai/pricing) ## Other businesses transformed with Ringg [All case studies](https://www.ringg.ai/case-studies) [ ![PharmEasy-case-study](https://images.prismic.io/ringg-ai/agLeqqYofJOwHG66_PEheader.png?auto=format%2Ccompress&fit=max&w=3840) Healthcare, OUTBOUND VOICE ### How PharmEasy Improved Medicine Reorder Conversion with Ringg PharmEasy partnered with Ringg to improve medicine reorder conversion with timely AI voice reminders and WhatsApp follow up. The goal was simple: bring users back into the reorder journey exactly when they were most likely to need a refill. 12 May 2026 ](https://www.ringg.ai/case-studies/pharmeasy)[ ![PlatinumRx logo](https://images.prismic.io/ringg-ai/ah0fVAeQX7-eWd4O_1475.png?auto=format%2Ccompress&fit=max&w=3840) Healthcare, Inbound Voice ### How PlatinumRx Improved Inbound Healthcare Support at Scale with Ringg PlatinumRx partnered with Ringg to improve inbound support at scale through AI voice agents that could understand customer needs, retrieve relevant order information, and route conversations to the right team in real time. 01 Jun 2026 ](https://www.ringg.ai/case-studies/platinumrx)[ ![PolicyBazaar-logo](https://images.prismic.io/ringg-ai/agNHeaYofJOwHIpp_policybazaarheader.png?auto=format%2Ccompress&fit=max&w=3840) Insurance, outbound voice ### How PolicyBazaar Improved Lead Qualification at Scale with Ringg Policybazaar used Ringg to engage new leads instantly, qualify intent, and route the warmest prospects to human advisors at scale. 12 May 2026 ](https://www.ringg.ai/case-studies/policybazaar) Source: https://www.ringg.ai/case-studies/practo