Telecom infrastructure
Telecommunications

Connected.
Intelligent.

Network optimization, churn prediction, and AI service automation for carriers serving hundreds of millions of subscribers.

62%
Churn reduction
$800M+
Revenue retained
6
Major carriers served
What We Build

Telecom AI capabilities

Purpose-built AI systems for carriers where every dropped call is a churn risk and every minute matters.

Network Optimization

Predictive capacity planning and proactive maintenance.

Churn Prediction

Identify at-risk customers 90 days before they leave.

AI Service Automation

Conversational AI that resolves 60%+ of inquiries.

Infrastructure Planning

AI-driven network expansion and upgrade prioritization.

Quality Intelligence

Real-time QoE monitoring and anomaly detection.

Revenue Assurance

Fraud detection and billing accuracy optimization.

Case Study

National Carrier Churn Transformation

How AI-powered churn prediction and service automation reduced customer losses by 62% and retained $340M annually.

The Challenge

A national mobile carrier with 48 million subscribers was losing 180,000 customers monthly to churn. Customer service wait times averaged 23 minutes. Network complaints drove 34% of cancellations, but the NOC had no predictive capability — only reactive firefighting. The CMO needed to cut churn in half within 12 months or face board-level consequences.

Our Approach
Phase 1Customer 360 Build3 weeks

Unified billing, usage, support tickets, network events, and sentiment data into a single customer view.

Phase 2Churn Prediction Engine4 weeks

Developed 90-day churn probability model. Identified 12 key leading indicators including network quality correlation.

Phase 3Network Intelligence5 weeks

Built predictive models for cell site performance, capacity planning, and proactive maintenance scheduling.

Phase 4Proactive Retention3 weeks

Automated intervention workflows: targeted offers, service recovery, and proactive outreach for at-risk customers.

Phase 5Service AI Deployment3 weeks

Deployed conversational AI handling 60% of support inquiries. Escalation routing based on customer value and churn risk.

18 weeks from kickoff to full deployment
12 HNL engineers + 8 carrier data scientists
Outcomes
62%
Churn reduction
From 180K to 68K monthly
$340M
Annual revenue retained
Prevented customer losses
4 min
Average wait time
Down from 23 minutes
60%
AI resolution rate
No human escalation needed

Ready to reduce churn and optimize your network?

Let's discuss how AI can predict customer behavior, automate service, and keep your network running at peak performance.

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