Ontech Insurance Platform logo Ontech Insurance

Solutions

Insurance Fraud Detection & Risk Scoring

Ontech scores every claim and application for fraud indicators in real time. Genuine, low-risk claims flow through quickly; suspicious patterns are flagged for investigation with the evidence that triggered the alert — reducing leakage without punishing honest customers.

Definition. Insurance fraud detection is the use of rules, statistics and machine learning to identify claims or applications that are likely fraudulent, so they can be reviewed before money is paid.

How fraud detection works

Fraud detection combines three layers: deterministic rules (known red flags), statistical anomaly detection (values that deviate from the norm), and machine-learning models trained on historical outcomes. Each claim receives a risk score; scores above a threshold are routed to investigators.

Common fraud signals

  • Claims filed shortly after policy inception
  • Repeated claims from linked parties
  • Inconsistent loss documentation
  • Values that deviate sharply from peer claims
  • Velocity anomalies across a portfolio

How insurers reduce fraud

The most effective programmes score risk early — at application and at first notice of loss — so intervention happens before payout. Pairing automated scoring with a structured investigation workflow lets a small special investigations team focus on the highest-risk cases.

Business benefits

  • Lower claims leakage and loss ratios
  • Faster settlement for genuine claims
  • Focused investigation of the highest-risk cases

Frequently asked questions

How does insurance fraud detection work?
It combines deterministic rules, statistical anomaly detection and machine-learning models to score each claim or application for fraud risk, routing high scores to investigators before any payout.
How do insurers reduce fraud?
By scoring risk early — at application and first notice of loss — and pairing automated scoring with a structured investigation workflow so intervention happens before money is paid.

Related

Claims Management

Automate the full claims lifecycle — first notice of loss, triage, fraud scoring, adjudication and...

Underwriting Software

Rules-based and AI-assisted underwriting software: automated risk assessment, pricing and straight-through...

AML Compliance

How insurers meet AML obligations: KYC onboarding, PEP and sanctions screening, ongoing monitoring, and...

See the platform on your data

Talk to the Ontech team about deploying the Enterprise Insurance Operating System for your business in Zambia.

Request a Demo

Last reviewed: 2026-07-29