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.
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.
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.
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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."
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.
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.
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