Insurance Fraud Isn’t Just a Cost Issue —
It’s a Trust Crisis.

Combat Claims, Identity, and Application Fraud with AI-Powered, Real-Time Defense Systems.

Why Traditional Anti-Fraud Models Fail in Insurance

As fraud grows smarter, manual checks and siloed tools leave insurers exposed—without intelligent, real-time systems, the risks escalate fast.

0 %

of insurers say fraud detection systems don’t keep up with evolving fraud patterns

0 %

of fraud losses originate at the point of application — before the policy is even issued

What Modern Fraud Detection Systems Must Deliver in Insurance

Fraud prevention today must be real-time, cross-functional, behavior-aware, and audit-compliant.

Application-Level Fraud Screening

Detect inconsistencies in KYC, income, health disclosures, and agent behavior at proposal stage

Claims Pattern Analysis

Identify frequency abuse, inflated billing, ghost services, and hospital collusion via analytics

Graph-Based Network Analysis

Map entities — customers, devices, hospitals, agents — to uncover fraud rings and linkage

Anomaly Detection Models

Use ML to detect outliers in claims volume, policyholder behavior, or treatment patterns

Geo, Device & IP Profiling

Flag mismatched or suspicious access patterns (e.g., 100 claims filed from same device in a week)

Unified Fraud Case Management System (FCMS)

Capture, assign, investigate, resolve, and report all fraud cases from one interface

Regulatory Reporting Automation

Prebuilt templates for IRDAI, FIU, reinsurers, and internal audit documentation

False Positive Reduction Layer

Improve accuracy with multi-factor scoring — financial, behavioral, medical, and external data enrichment

Insurance fraud is evolving — your defense must evolve faster.

Why INT. Builds Anti-Fraud Engines That Are Adaptive, Accurate, and Actionable

We help insurers move from fraud detection to fraud anticipation — combining AI with compliance, case management, and insight-driven prevention.

LOB-Specific Rule Engines

Tailored detection logic for life, health, motor, term, group, and microinsurance

No-Code Rule Designer for Risk Teams

Configure, update, and A/B test risk thresholds without tech dependency

Multi-Source Integration

Enrich detection using claim history, IIB data, TPAs, hospitals, labs, Aadhaar/PAN verification, and payment platforms

Cross-Channel Monitoring

Monitor web, mobile, branch, aggregator, and partner journeys — all within one fraud intelligence layer

Investigations Portal with Audit Trails

Assign cases, escalate, track action taken, and close loops with documentation and recovery status

AI Training on Your Data

Build risk models using your own claims, application, and servicing data — for contextual accuracy

INT. empowers insurers to catch fraud early, reduce leakage, and protect customer trust without slowing down real claims.

case studies

Proof That Speaks

Featured

62%

reduction in undetected high-risk claims within the first 90 days

48%

decrease in false positive escalations through AI-powered multi-layer scoring

Get a Free Fraud Risk & Response Audit

We’ll help you identify exposure points, gaps in prevention, and actionable fixes that align with both customer experience and compliance.

You’ll receive:

  • Application & claims fraud heatmap
  • Policy journey fraud control audit
  • Reporting, case logging & audit-readiness scan
  • False positive rate & precision optimization analysis
WHO WE ARE

At INT., excellence and innovation drive everything we do.

We go beyond maintaining operations—we empower businesses with data, insights, and best practices to stay ahead in an ever-evolving digital landscape.

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