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How RPA + AI Transformed Billing Accuracy and Stopped Revenue Leakage

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Our client, a tier-1 telecom operator with millions of subscribers, provides mobile, broadband, and bundled digital services. With customer bases spread across urban and rural markets, billing is mission-critical to both customer experience and financial performance. However, with thousands of plans, usage-based pricing models, and complex interconnect billing, errors crept into the system. Manual checks across disparate OSS/BSS platforms were not only inefficient but also failed to keep up with the pace of growing transactions.

The Challenge: Revenue Loss from Billing Errors

The client faced frequent billing inaccuracies that directly impacted profitability and customer satisfaction. Key issues included:
  • Revenue Leakage: Missed charges and incorrect billing caused significant financial loss.
  • Customer Disputes: Thousands of billing-related complaints strained call centers and hurt customer trust.
  • High Operational Costs: Manual reconciliation consumed hundreds of employee hours every month.
  • Compliance Risks: Errors increased exposure to regulatory penalties and reputational damage.
The telecom provider knew that manual fixes were unsustainable. They needed a scalable, intelligent automation framework to ensure billing accuracy.

The Solution: RPA Meets AI for End-to-End Billing Assurance

Amantra deployed a solution leveraging Robotic Process Automation (RPA) and AI-driven analytics to transform billing operations.
  1. Automated Data Reconciliation: RPA bots continuously extracted, matched, and validated records across OSS, BSS, and ERP systems ensuring every usage entry was billed correctly. 
  2. AI-Powered Anomaly Detection: Machine learning algorithms analyzed historical billing patterns, identifying unusual charges, missing entries, and potential fraud in real-time. 
  3. Error Heatmaps & Insights: A centralized AI dashboard gave finance and operations teams visibility into error-prone areas, helping them proactively address root causes. 
  4. Compliance Monitoring: Automated audit trails ensured every billing process aligned with regulatory and internal standards. 

The Results: Accuracy, Speed, and Trust Restored

  • 95% reduction in billing errors within the first 3 months. 
  • 30% faster billing cycles, improving cash flow and revenue collection. 
  • Customer complaints dropped by 60%, reducing pressure on support teams. 
  • Operational efficiency increased, saving thousands of man-hours annually. 
  • Strengthened customer trust and retention, leading to long-term revenue stability. 
Bottom Line: Amantra RPA + AI framework enabled the telecom provider to shift from reactive error correction to proactive billing assurance protecting revenue, boosting efficiency, and enhancing customer loyalty.