Agentic AI-driven fraud management and revenue assurance

Overview

In today’s hyper-connected telecom ecosystem, revenue leakage and fraud are no longer isolated issues—they are systemic risks. The expansion of digital channels, increasingly complex partner networks, real-time charging models, and heightened customer expectations have significantly amplified these threats. Even a one percent revenue leakage can result in tens of millions of dollars in annual losses for global operators.

To address these challenges with confidence, Infosys Fraud Guard empowers telecom operators with proactive, AI-driven capabilities that safeguard revenue integrity while strengthening customer trust.

Key stats

$10 Mn Saved for a large Australian telco

90% Fraud coverage across value chain

75% Reduction in time to detect and act

Infosys Fraud Guard framework

Infosys Fraud Guard framework is a classic blend of:

Agentic AI for autonomous operations, learning, and preventive controls
Generative AI for faster investigation, summarization, and root-cause analysis
Advanced analytics & machine learning for anomaly detection
Managed Services with deep telecom expertise and combined industry intelligence

This helps you transform your telecom resilience with a unified, AI‑powered and insight‑driven vision for next‑generation fraud and revenue assurance.

Fraud management across the telecom value chain

Fraud Guard empowers telcos to safeguard their revenue and mitigate fraud across a wide range of telecom segments:

Communication service providers (B2B/B2C)

Broadband and fixed-line services

MVNOs

Digital services & content providers

Roaming & wholesale providers

We are securing every revenue moment across the telecom lifecycle— from customer acquisition to retention.

Our services

Revenue Assurance	Fraud Management	Advanced Analytics and AI	Process Consulting
AI-driven end-to-end RA across lead-to-cash and order-to-cash Digital channel and partner assurance Margin assurance for B2B and wholesale (contract vs billing vs usage) Migration and transformation assurance Product and offer assurance Usage-to-bill-to-cash reconciliation	Agentic AI–led fraud detection and auto-response Digital and identity fraud Payments, wallet, and refund fraud Dealer, agent, and commission fraud (behavioral + network-based models) Subscription and promotion abuse IoT and enterprise fraud	Agentic AI-led advanced analytics Gen AI-powered knowledge management ML risk scoring and propensity models Adaptive rule lifecycle Graph and network analytics Predictive and prescriptive analytics Unified RAFM control tower	RAFM maturity and capability assessments Automation and agentification Controls rationalization Outcome-based managed services Regulatory, audit, and compliance Change and adoption management (analysts to AI supervisors)
*Shift from “post-facto controls” to “preventive, design-time assurance”*	*Focus on fraud-as-a-system, not isolated fraud types*	*Move from dashboard-based decisions, to autonomous actions*	*From “managed services” to “managed outcomes”*

Solution architecture

Take control of revenue risks—deploy Infosys Fraud Guard today

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Proven business outcomes

Revenue impact

75% reduction in fraud losses contributing to 1% revenue uplift

Fraud coverage and mitigation

90% fraud coverage with 80% reduction in false positives

Operational efficiency

90% faster case cycles enabled by agentic AI‑driven operations

Customer experience

Enhanced customer loyalty and retention with consistently improved NPS and CSAT scores

Resource center

Brochure

Infosys Fraud Guard - Smarter detection. Stronger protection.

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