Automating Dispute Resolution to Protect Revenues
A regional telecom operator with multiple interconnect and wholesale partners managed thousands of invoices and transactions daily. Frequent billing disputes due to mismatched records and manual reconciliation led to revenue leakage, delayed settlements, and strained partner relationships.
As volumes grew, the operator needed an automated solution to integrate with billing and settlement systems, streamline reconciliation, detect anomalies in real time, and provide analytics for faster dispute resolution ensuring stronger revenue assurance and improved partner trust.
The Challenge: Revenue at Risk from Manual Dispute Handling
The operator faced growing issues:- High volume of disputes with roaming, interconnect, and wholesale charges.
- Manual verification of billing records, which was slow and error-prone.
- Delayed settlements leading to strained partner relationships.
- Millions in revenue blocked in unresolved disputes.
- Lack of real-time reconciliation across systems.
The Solution: AI-Driven Automated Dispute Resolution
AIRA implemented an AI-powered dispute resolution engine integrated with billing and reconciliation systems. Key solution components:- Automated Data Matching across call records, invoices, and settlement files.
- Discrepancy Detection using machine learning to flag mismatched transactions.
- Root-Cause Analysis to identify whether issues were due to partner errors, network glitches, or billing inconsistencies.
- Smart Workflow Automation that auto-resolved common disputes and routed complex ones to finance teams.
- Audit-Ready Reports for compliance and faster settlements.
The Results: Faster Settlements, Stronger Revenues
- 60% faster dispute resolution with automated workflows.
- 45% reduction in revenue leakage from unresolved or delayed disputes.
- 30% lower OPEX in finance and reconciliation processes.
- Improved partner trust and relationships due to faster settlements.
- Better cash flow predictability and stronger financial governance.