TCS Customer Intelligence & Insights™ for Public Services
Strengthening program integrity with AI-driven fraud analytics
Products and Platforms
TCS Customer Intelligence & Insights™
TCS Customer Intelligence & Insights™
Highlights
- Increasing fraud risks across unemployment insurance (UI), disability insurance (DI), and paid family and medical leave (PFML) threaten program integrity and public funds.
- Siloed data and limited analytics visibility make it difficult to detect sophisticated fraud patterns and coordinated schemes. Advanced fraud analytics and risk intelligence help agencies identify suspicious claims and prioritize investigations.
- TCS Customer Intelligence & Insights™ for Public Services delivers fraud intelligence to detect anomalies and strengthen benefit program oversight.
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How can AI help agencies combat fraud and safeguard public funds?
Public benefit programs such as UI, DI, and PFML play a critical role in ensuring financial stability for citizens. As these programs expand and digital adoption increases, maintaining program integrity has become a strategic priority for government agencies.
However, growing claim volumes and increasingly complex fraud risks are putting pressure on traditional systems that lack the capability to detect evolving threats effectively. Agencies must now adopt more intelligent, data-driven approaches to ensure that benefits are delivered securely and accurately without delays.
TCS Customer Intelligence & Insights for public services enables agencies to strengthen fraud detection using AI-driven analytics and unified data intelligence. By analysing patterns across programs and identifying anomalies early, the solution supports proactive fraud prevention instead of reactive investigation.
This shift helps agencies improve operational efficiency, protect public funds, and ensure that benefits reach eligible citizens in a timely and secure manner.
Why do fraud risks often go undetected until it's too late?
Public benefit programs such as UI, DI, and PFML are increasingly targeted by sophisticated fraud schemes, including identity theft, duplicate claims, misrepresentation of eligibility, and organized fraud rings.
Agencies often rely on manual reviews and rule-based checks, which struggle to detect emerging fraud patterns across large volumes of claims. Siloed data across states and agencies providing the social benefit programs, further limits visibility into overlapping benefits, suspicious claimant behavior, and coordinated activities.
Without advanced analytics, agencies face challenges in detecting fraud early, prioritizing investigations, and safeguarding program integrity while continuing to deliver timely benefits to eligible citizens.
How can AI accelerate fraud detection, prevention, and investigation?
TCS Customer Intelligence & Insights for Public Services enables states and agencies to address these challenges through AI-driven fraud analytics and unified data intelligence designed specifically for public benefit programs.
The solution applies multiple techniques across rule-based analytics, predictive modeling, anomaly detection, and behavioral intelligence to uncover suspicious activity that traditional approaches often miss.
Agencies can:
- Identify duplicate or overlapping claims across programs and employers
- Detect fraudulent employers
- Detection of employer - Employee collusion
- Detect anomalous claimant behavior and unusual claim patterns
- Integrate data from various agencies - United States Postal Service (USPS), Integrity Data Hub (IDH), and LexisNexis
- Analyze network relationships to uncover coordinated fraud rings
- Perform connected claimant analytics to surface fraudulent claims and claimants
- Flag high-risk claims using predictive risk scoring
- Gain cross-program visibility into claimant activity and benefit utilization
By leveraging advanced analytics, TCS Customer Intelligence & Insights for Public Services strengthens fraud detection across unemployment insurance, disability insurance, and paid family and medical leave while improving oversight and decision-making.
Key Capabilities for Public Services
Cross-program fraud intelligence - Identify suspicious patterns and overlapping benefits across UI, DI, and PFML.
Behavioral and anomaly detection - Detect unusual claim activity using AI-driven analytics.
Network relationship analysis - Uncover coordinated fraud rings and shared identifiers.
Risk-based claim prioritization - Score claims to help investigators focus on high-risk cases.
Where can AI-powered fraud detection deliver the greatest impact?
Unemployment insurance fraud analytics
Unemployment insurance programs are often targeted by identity theft, synthetic identities, and duplicate claims.
TCS Customer Intelligence & Insights for Public Services helps agencies:
- Detect duplicate claims across programs and jurisdictions
- Identify suspicious claimant patterns and submission behavior
- Analyze network relationships to uncover fraud rings
- Flag claims linked to shared identifiers or anomalies
- Prioritize high-risk claims for investigation
These insights help agencies reduce improper payments and improve program oversight.
Disability insurance fraud analytics
Disability insurance programs are vulnerable to fraud such as misreported medical conditions, undeclared employment, and extended benefit misuse.
TCS Customer Intelligence & Insights for Public Services helps agencies:
- Detect claimants receiving disability benefits while reporting income elsewhere
- Identify patterns linked to specific providers or recurring claim characteristics
- Flag unusual claim durations and repeated extensions
- Analyze cross-program benefit overlaps indicating potential misuse
- Surface high-risk claims for deeper investigation
These analytics-driven insights help reduce improper payments and strengthen program integrity.
Paid family and medical leave fraud analytics
Paid family and medical leave programs face risks such as duplicate leave claims, falsified medical documentation, and overlapping benefits.
TCS Customer Intelligence & Insights for Public Services enables agencies to:
- Identify overlapping leave claims across employers or time periods
- Detect multiple claims tied to shared medical certifications or contact details
- Flag suspicious patterns in claim timing and frequency
- Analyze benefit utilization trends to identify anomalies
- Highlight high-risk claims for investigator review
These capabilities improve oversight while maintaining seamless experiences for eligible beneficiaries.
What outcomes can public service agencies achieve with AI-driven fraud management?
- Reduced fraudulent payouts across benefit programs
- Early detection of suspicious claims using advanced analytics
- Improved investigator productivity through risk-based prioritization
- Greater cross-program visibility into claimant activity
- Stronger program integrity and compliance oversight
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