CDR-based revenue reconciliation and AI-powered leakage detection across voice, data, and VAS services. Real-time billing accuracy verification to protect revenue streams.
Specialized AI agents automating revenue assurance and leakage detection across your telecom infrastructure
Real-time CDR reconciliation and leakage detection across all revenue streams
Empowering stakeholders across finance, operations, and assurance teams
Financial Leadership
Assurance Team
Billing Team
Network Team
Accounting & Control
Compliance & Risk
See how SHIELD compares to traditional revenue assurance approaches
| Capability | SHIELD | Manual Audits | Basic Rules Engine | Spreadsheets |
|---|---|---|---|---|
| Real-time Detection | Sub-minute alerts | Monthly/Quarterly | Daily batches | Not feasible |
| AI-Powered Anomaly Detection | ML pattern recognition | Manual review | Static rules only | No automation |
| CDR Coverage | 100% of records | Sample-based (5-10%) | 100% of records | Samples only |
| Automated Recovery Tracking | Full workflow automation | Manual tracking | Basic alerts | Manual spreadsheets |
| Leakage Classification | AI categorization | Manual coding | Pre-defined types | Ad-hoc labels |
| Scale (CDRs/Day) | Millions | Thousands | Hundreds of thousands | Thousands |
| Time to Value | Days | Months | Weeks | Weeks |
Enterprise-grade infrastructure for revenue assurance at scale
Real-time revenue assurance metrics and leakage analysis
| Transaction ID | Leakage Type | Merchant | Expected (PHP) | Difference (PHP) | Status |
|---|---|---|---|---|---|
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