turn earned revenue to cash on your bottomline
Telecom revenue assurance and maximization (TRAM)
We at Infosys BPM have a track record of helping CSP majors identify and eliminate revenue leakage by leveraging three key services: revenue assurance analytics; assessment and automation; and auditing and monitoring. We help you identify issues such as delays in leakage detection; inadequate evaluation of data streams to prevent leakage; technology challenges; and other complex leakage scenarios due to network evolution and complexity. We have a team of 350+ tech wizards, consisting of data scientists, analysts, and visualization experts; they come from multiple disciplines, such as telecom, utilities, finance, logistics, manufacturing, insurance, etc. Telecom revenue assurance is the discipline of ensuring every service delivered is accurately rated, billed, and collected, so revenue leakage is detected and eliminated before it compounds. Industry studies cited in our research put uncollected funds across global telecom operators at over $30 billion.
Revenue leakage prevention
Our TRAM solution leverages the following technological interventions to detect and prevent revenue leakage.
- Machine learning-based models to identify new and complex leakage and fraud patterns
- Actionable insights using pattern detection and usage analytics
- Expandable and future proof revenue and fraud controls to track all data streams and maintain 100% coverage
- Assessment and automation to control risks, build process maturity, and plug process gaps
What does our telecom revenue assurance solution cover?
Our telecom revenue assurance solution covers the full usage-to-cash chain:
- Usage and CDR validation: End-to-end usage assurance so every billable event is captured and reconciled from usage to bill to cash
- Billing and rating accuracy: Detection of rating, invoicing, and billing discrepancies before they reach the customer
- Telecom interconnect revenue assurance and wholesale settlement: Margin assurance for B2B and wholesale, reconciling contract versus billing versus usage
- Digital channel and partner assurance: Assurance across digital channels and partner ecosystems
- Revenue assurance analytics: Actionable insights using pattern detection and usage analytics
- Auditing and monitoring: Near real-time monitoring with 24x7 investigation support and tracking
Our approach to revenue assurance analytics
Our unique approach to analyze and mitigate fraud patterns involve the following steps.
- Data collection from a vast array of sources including the CRM, service data, billing, internal/industry data, etc.
- Predictive modeling engine is used to analyze historical data formulating an algorithm to predict fraudulent transactions. The algorithm scores each customer’s transaction; the score indicates whether the transaction is fraudulent or not.
- Based on the score, further investigation is done by a fraud expert and a full report is generated with recommended actions.
Further, we leverage our expertise in fraud detection to assess risks and develop insights to refine your existing fraud controls. We conduct maturity assessment to help you benchmark your fraud fighting capabilities; conduct due diligence to develop an improved and automated process with higher performance; and develop a risk book to upgrade your fraud detection efficiency.
The telecom revenue assurance maturity model
Our maturity assessments benchmark where you stand on the revenue assurance maturity model and define the roadmap and risk book to move up it:
- Reactive: Leakage found after the fact, through audits and customer disputes
- Active: Standard controls and periodic reconciliations across key revenue streams
- Proactive: Near real-time monitoring with pattern detection and usage analytics
- Preventive: Assessment and automation to control risks, build process maturity, and plug process gaps
- Autonomous: Machine learning models and expandable, future proof controls that adapt as networks and offers evolve
TRAM: Key advantages
24x7 fraud investigation support and tracking
Outlier detection, to save revenues
Near real-time monitoring
Increases fraud coverage to 100%
Precision and recall to reduce false positives by up to 40%
Improved decision making for proactive identification of vulnerabilities
Why Infosys BPM among telecom revenue assurance providers
Among telecom revenue assurance providers, Infosys BPM combines a 350+ strong team of data scientists, analysts, and visualization experts with cross-industry experience spanning telecom, utilities, finance, logistics, manufacturing, and insurance, delivered as managed services with near real-time monitoring and 24x7 investigation support.
Challenges and solutions - telecom revenue assurance
Because audits find leakage after the fact. Delays in leakage detection, inadequate evaluation of data streams, technology challenges, and complex leakage scenarios driven by network evolution let the same gaps reopen. Telecom revenue assurance closes them with near real-time monitoring, machine learning-based models, and assessment and automation that plug process gaps for good.
Common leakage points include billing and rating errors, mediation and provisioning discrepancies, interconnect and wholesale settlement errors, roaming data inconsistencies, configuration misalignments, and fraud. Delays in leakage detection and inadequate evaluation of data streams compound the losses.
Revenue assurance ensures internal accuracy across rating, billing, and collections, while fraud management detects and prevents malicious external threats. Infosys BPM covers both: TRAM focuses on revenue assurance and leakage prevention, while Infosys Tele FraudGuard delivers agentic AI-driven fraud management.
Through a maturity assessment against the revenue assurance maturity model: it benchmarks where you stand today, from reactive audits to autonomous, machine learning-driven controls, and builds the roadmap and risk book to advance stage by stage.
Outcomes include coverage of up to 100% across data streams, up to 40% fewer false positives through precision and recall tuning, near real-time monitoring, and 24x7 investigation support for proactive identification of vulnerabilities.
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