External customer deployment · Healthcare · not a fynqAI result

The Intelligent Patient Access System

AI voice agents answer patient calls, check live availability, and book appointments — integrating into the scheduling workflow.

Practo · Ringg AI voice agents · Published by Ringg

Headline result (external)

85%

First-call resolution rate

A · Demonstrated elsewhere

70%Lower operational cost reportedVendor-reported; detailed cost methodology is not published in the summary.
<3 secAverage response time
1,000+Daily appointments booked

Business problem

Healthcare platforms receive large volumes of appointment requests. Manual handling creates delays, missed calls, and inconsistent booking experiences.

Published solution workflow

  1. Answer incoming patient calls
  2. Understand appointment requirements
  3. Identify the appropriate doctor
  4. Check live appointment availability
  5. Confirm bookings 24/7 with human escalation when needed

Why this reference matters

India-relevant reference for clinic and hospital voice-agent services with scheduling integration.

B · What fynqAI would measure for your business

  • Primary KPI: No-show rate and appointment completion
  • Financial value: Recovered appointment contribution and admin hours saved

Operational outcomes from external deployments are not automatic financial ROI. A fynqAI engagement establishes your baseline, pilot design, and measured post-deployment results.

Related fynqAI AI Lab offering

Intelligent Front Desk & Appointment Systems — 24/7 conversational and voice systems that answer, qualify, book, and escalate — across phone, chat, and messaging.

Evidence caveats

  • Results from Ringg’s published Practo customer story — not a fynqAI deployment.
  • Cost-reduction figures are vendor-reported.

Verify the original source

Open the publisher’s page to review the full methodology, quotes, and reported figures.

Source · Ringg AI

Practo: improving patient booking with Ringg AI voice agents

See how Practo used Ringg AI voice agents to improve patient booking and achieve 85% first-call resolution.

Open original case study