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Fraud Detection & Compliance Analytics

Protecting programme integrity through intelligent data analysis. We build detection engines tailored to your data pipeline that surface fraud patterns manual review misses.

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EMBEDDED FRAUD DETECTION Your Programme Transaction data Entity records Custom Engine Tuned to your fraud patterns specifically Risk Scores Investigators can actually use 40+ entity coordinated scheme detected | 2 years undetected by manual review Not off-the-shelf. Not generic. Built for your data, your fraud types.
Overview

What is Fraud Detection & Compliance Analytics?

Large government programmes generate mountains of transaction data. Finding fraud manually means investigators spend weeks screening cases that go nowhere, while actual fraud slips through.

We don't just build dashboards. We embed with your team to understand how fraud actually happens in your programme: the specific patterns, the edge cases, the things that look suspicious but aren't. Then we build a detection engine tailored to your data pipeline.

The system classifies risk hierarchically. At the top level, it flags programme-wide patterns (like coordinated activity across multiple accounts). At the transaction level, it scores individual claims against your compliance rules. At the entity level, it tracks behavioural changes over time. All of this feeds into a single risk score that investigators can actually use.

Why Fraud Detection

Key Benefits

Hierarchical Risk Classification

Programme-wide, transaction-level, and entity-level pattern detection feeding a single actionable risk score

Embedded Engagement

We work alongside your compliance and data teams to map fraud patterns specific to your programme

80% Faster Screening

Cut case screening time dramatically: in one programme, from weeks of manual review to hours of targeted investigation.

Continuous Refinement

Detection engines evolve as fraud patterns change, not a set-and-forget tool.

Process

How It Works

  1. 01

    Embed & Discover

    We join your compliance team to understand how fraud actually happens in your programme: the specific patterns, edge cases, and things that look suspicious but aren't.

  2. 02

    Build Detection Engine

    Custom engine integrated with your data pipeline: entity-level tracking, transaction scoring, programme-wide pattern detection

  3. 03

    Calibrate Risk Scoring

    Tune risk models to your regulatory context, ensuring investigators get actionable scores, not noise.

  4. 04

    Refine & Evolve

    Ongoing refinement as fraud patterns shift. The system learns from your programme's data, not generic models

Applications

Use Cases

State regulatory programme fraud screening

Coordinated entity scheme detection

Government grant compliance monitoring

Multi-account behavioural pattern analysis

Capabilities

Feature Breakdown

Embed with compliance and data teams to map programme-specific fraud patterns

Custom detection engines integrating with existing data pipelines

Hierarchical classification across entity, transaction, and programme levels

Risk scoring models tuned to regulatory context

Investigator-focused dashboards (not just pretty charts)

Ongoing refinement as fraud patterns evolve

HIERARCHICAL RISK CLASSIFICATION Programme Level Coordinated activity across multiple accounts Entity Level Behavioural changes over time Transaction Level Compliance rule scoring Unified Risk Score Actionable | Prioritised | Contextual Investigator Dashboard 80% faster case screening
Get started

Ready to protect programme integrity?

Tell us about your compliance challenge. We'll show you how tailored detection changes the game.

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