India's largest telecom company scales collections and engagement with Voice AI

Organisation
India's largest telecom company
Founded
1995
Website
Confidential
Channel
Phone call (voice AI)
Industry
Telecom
Usecases
Pre-due and post-due reminders, regulatory announcements, collections automation, voice broadcasting

Telecom automation impact

AI-powered automation handled 10M+ conversations monthly, reducing costs and improving engagement at telecom scale.

4.0 Cr
OpEx cut
25.6×
ROI
0.39×
cost efficiency ratio*
10M+
conversations
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India’s leading telecom operator needed to handle massive pre- and post-due reminders, collections, and regulatory announcements across millions of users. Manual methods were costly, slow, and inconsistent. Gnani.ai introduced AI voice solutions to address these challenges.

Solution

India's largest telecom company adopted a unified voice automation framework combining Collect365 and Voice Blast for telecom-scale engagement. This solution automated millions of reminders, collections, and regulatory updates while integrating seamlessly with their CRM systems. The approach ensured cost optimization and personalized engagement at scale.

01

Deployed AI-powered voice workflows for pre-due and post-due reminders to maximize on-time payments and reduce delinquency.

02

Deployed AI-powered voice workflows for pre-due and post-due reminders to maximize on-time payments and reduce delinquency.

03

Deployed AI-powered voice workflows for pre-due and post-due reminders to maximize on-time payments and reduce delinquency.

04

Integrated backend CRM and billing systems for real-time reporting, enabling transparency and actionable insights for campaign performance.

This unified platform delivered scalable, cost-effective, and personalized communication at telecom scale.

Impact

India's largest telecom company achieved significant OpEx savings, boosted ROI, and streamlined engagement across millions of customers. Automation reduced operational overhead and enhanced the quality of outreach substantially.

4.0 Cr
OpEx saved
25.6×
ROI
10M+
conversations

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