AI-Driven Revenue Assurance for a Tier-1 Bank
The Challenge
The bank was processing over 120 million billing and fee transactions every month across credit cards, loans, and digital wallets. Due to legacy Oracle Billing and multiple downstream systems, revenue leakage had become a serious concern. Manual reconciliation was slow, error-prone, and incapable of detecting complex billing anomalies across channels. Finance and audit teams were spending weeks closing each billing cycle, while undetected discrepancies were impacting regulatory compliance and profitability.
Our Solution
Metabeat implemented an AI-driven Revenue Assurance framework on top of Oracle Revenue Management and Billing (ORMB). We built automated data pipelines to ingest transaction data from Oracle CCB, payment gateways, and CRM platforms.
Using machine learning models, the platform analyzed historical billing patterns to identify anomalies such as under-billing, duplicate charges, and missing fees. Real-time dashboards and alerts allowed finance teams to investigate issues immediately instead of waiting for month-end reports.
Business Impact
The bank reduced revenue leakage by 3.8% in the first quarter of deployment. Monthly close cycles were shortened from 10 days to 3 days, and compliance reporting accuracy improved significantly. The platform is now used by more than 150 finance and audit users across the organization.