Fraud Detection & Risk Analytics

Use machine learning to detect anomalies, flag bad actors, and stay compliant—without the false positives. Ideal for firms tired of reviewing every red flag manually.

Catch Fraud Before It Catches You

Fraud is fast. Your defense has to be faster. Manual reviews? Static rules? Those won’t cut it in a world of bot attacks, bad actors, and digital risk.

Inventive’s Fraud Detection & Risk Analytics deploys real-time ML models to detect anomalies, prevent fraud, and flag risky behavior across payments, claims, applications, and user interactions.

Why Inventive? We build explainable models your compliance team will trust—and your ops team can act on.

The longer fraud hides, the more expensive it becomes. Let’s shine a light on what others miss.

Six figures saved in days

Within days, the model caught a fraud ring that cost us six figures last year. That alone paid for the project.

Chief Risk Officer, Fintech Platform

Catch Fraud Before It Catches You

  • You're processing payments, but reviewing fraud by hand.
  • You've got more rules than results.
  • You've been lucky so far—and that’s your only defense.
$7.8T

/ Year In Global Fraud

Reported by ACFE

Yes, trillion—with a T. Fraud is big business. Let’s make it unprofitable.

Up to 50%

Drop In False Positives

With ML-based detection models

Less friction for legit customers. More headaches for the shady ones.

$20K–$100K

Per Project

Plus high-value monitoring retainers

When you’re saving millions, this price tag feels like a steal—in a good way.

Catch Fraud Before It Catches You

Criteria Manual Review Mayhem Rules-Based Traps That Miss Things This Tier: AI-Powered, Adaptive Fraud Detection
Detection Accuracy Human delay, high miss rate Catches known patterns only Learns from behavior, adapts to new threats
False Positives Legit customers flagged too often Some friction, inconsistent rules Reduced friction, better precision
Compliance Coverage Reactive audits, slow reporting Basic logs, no intelligence Real-time alerts, audit trails, KYC/AML workflows