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Yes AI - AI Solutions Australia
AI Fraud Detection

Detect Fraud in 0.3 Seconds - Not 18 Months

Australian businesses lose $2.74 billion to fraud annually. Our AI screens every transaction in real-time, catches fraud attempts early, and keeps false positives low - so legitimate customers are never blocked.

Get Fraud Risk Assessment (03) 9003 0111

Fraud Risk Assessment

Answer at least 3 questions to see your vulnerability score

Do you verify unusual transactions automatically?
Do you monitor for duplicate invoices?
Is real-time transaction screening in place?
Can you detect unusual employee behaviour patterns?
Do you cross-reference vendor details against known fraud databases?
Are payment anomalies flagged before settlement?
High
fraud detection rate
Fewer
false positives
Real
prevented losses
Real-time
detection speed
High
Fraud Detection Rate
Fewer
False Positives
Real
Prevented Losses
Real-time
Detection Speed
The Fraud Problem

Fraud Is Costing You More Than You Think. Here Is Why.

$2.74B

Invoice fraud costs Australian businesses billions annually

The ACCC reports Australian businesses lost $2.74 billion to scams and fraud in the past year alone. Invoice fraud, payment redirection, and business email compromise are the fastest-growing categories - and most go undetected for months.

5-10%

Manual reviews cannot keep up with transaction volume

Traditional fraud teams review only 5-10% of transactions due to volume constraints. The other 90-95% flow through unchecked. AI monitors 100% of transactions in real-time - catching fraud that manual sampling misses completely.

18 mths

Internal fraud takes 18 months to detect on average

KPMG data shows internal fraud goes undetected for an average of 18 months. Ghost employees, phantom vendors, and expense fraud compound during that window. AI behavioural analysis detects anomalies within days, not years.

High

False positives frustrate legitimate customers

Rule-based fraud systems generate high false positive rates, blocking legitimate transactions and frustrating your best customers. AI contextual scoring keeps false positives low while still catching actual fraud.

None

No real-time monitoring means reactive detection

Most Australian SMEs have no real-time transaction monitoring. They discover fraud when reconciling accounts - days, weeks, or months after the money has left. By then, recovery is expensive and often impossible.

Far more

Reactive fraud response costs more than prevention

Businesses that detect fraud proactively spend far less than reactive businesses on recovery, legal fees, and reputation damage. AI shifts you from reactive to predictive - stopping fraud before losses occur.

How It Works

From Vulnerable to Protected in Four Steps

1
Days 1-3

Fraud Risk Assessment

We analyse your transaction data, payment flows, and current controls to identify vulnerability gaps. This produces a risk heat map showing exactly where you are most exposed - and the estimated annual cost of those exposures.

2
Days 4-7

AI Model Configuration

We configure and train fraud detection models on your historical transaction data. The AI learns your legitimate business patterns so it can distinguish genuine anomalies from normal variation - minimising false positives from day one.

3
Weeks 2-3

Live Deployment

Models deploy into your live transaction flow in monitoring mode first, then enforcement mode. Real-time screening begins with human oversight, transitioning to autonomous blocking once accuracy thresholds are confirmed.

4
Ongoing

Continuous Optimisation

AI models retrain automatically on new data and emerging fraud patterns. Monthly reviews analyse detection rates, false positive ratios, and financial impact. Quarterly strategy sessions adjust for evolving threats and regulatory changes.

Core Capabilities

Eight Layers of AI Fraud Protection

Real-Time Transaction Screening

Every transaction is analysed in under 0.3 seconds against hundreds of fraud indicators. Suspicious patterns are flagged instantly - before money moves - giving your team time to investigate without disrupting legitimate customers.

Machine Learning Pattern Detection

AI models trained on millions of Australian transactions learn your normal business patterns and adapt continuously. New fraud tactics are detected automatically, even when they have never been seen before - unlike rule-based systems that only catch known patterns.

Identity Verification Intelligence

Multi-layered identity checks combine document verification, behavioural biometrics, and device fingerprinting. Synthetic identity fraud - the fastest-growing fraud type in Australia - is caught at onboarding before any damage occurs.

Internal Fraud Surveillance

Monitor employee access patterns, transaction approvals, and data exports for anomalies. Ghost employees, phantom vendors, and expense fraud are surfaced through behavioural analysis that would take human auditors months to uncover.

Anomaly Scoring Engine

Each transaction receives a risk score from 0-100 based on dozens of contextual signals. Low-risk transactions flow through untouched, medium-risk gets flagged for review, and high-risk is held automatically - dramatically reducing false positives.

Regulatory Compliance Automation

Automatically generates AUSTRAC suspicious matter reports, maintains audit trails for ASIC investigations, and ensures your fraud programme meets Australian regulatory requirements without manual compliance overhead.

Vendor & Invoice Verification

Cross-references vendor ABNs, bank details, and invoice patterns against historical data and government registries. Duplicate invoices, phantom vendors, and invoice manipulation are caught before payment approval.

Fraud Analytics Dashboard

Real-time visibility into fraud attempts, detection rates, false positive ratios, and financial impact. Executive-level reporting shows exactly how much money AI is saving and where emerging threats are developing.

Interactive Tool

Fraud Prevention ROI Calculator

Estimate how much AI fraud detection could save your business annually.

Monthly Transaction Volume50,000
Current Fraud Rate (%)1.2%
Average Fraud Loss ($)$850
Manual Review Team Size3 staff
Current Annual Fraud Loss
$6,120,000
Prevented Losses (AI)
$5,752,800
Total Annual Savings
$5,867,550
incl. $114,750 team efficiency
Get Your Fraud Risk Assessment

These are benchmark estimates. Your custom assessment provides precise projections based on your transaction data.

Industry Solutions

Fraud Detection Across Every Industry

Finance & Banking

Transaction monitoring, account takeover detection, synthetic identity prevention, AML compliance

94% detection rate

E-Commerce & Retail

Payment fraud screening, chargeback prevention, promo abuse detection, account creation fraud

78% chargeback reduction

Insurance

Claims fraud detection, staged accident identification, provider collusion analysis, premium fraud

$340K avg prevented losses

Healthcare

Medicare billing fraud, prescription fraud, phantom patient detection, identity misuse

67% faster detection

Retail & Payments

POS fraud prevention, return fraud analysis, loyalty programme abuse, gift card fraud detection

85% fewer false declines

Construction & Trades

Invoice fraud prevention, ghost employee detection, materials theft analysis, subcontractor fraud

$180K avg annual savings

The Numbers Behind AI Fraud Detection

High
Fraud detection rate across all transaction types

AI catches the large majority of fraudulent transactions - far better than rule-based systems and manual review sampling

Fewer
False positives versus rule-based systems

Contextual risk scoring means fewer legitimate transactions are blocked, protecting customer experience and revenue

Real
Prevented losses per client

Our Australian clients prevent meaningful fraud losses each year through AI detection and prevention

0.3s
Average transaction screening time

Every transaction is scored in under 0.3 seconds - fast enough to block fraud before settlement without slowing legitimate payments

100%
Transaction monitoring coverage

Unlike manual review that samples 5-10%, AI monitors every single transaction, eliminating the gaps that fraudsters exploit

14 days
Average time from kickoff to first fraud detection

Most clients identify previously undetected fraud within the first two weeks of AI deployment, during the monitoring phase

Without AI vs With AI: Fraud Detection

MetricWithout AIWith AI
Detection SpeedDays to weeks< 0.3 seconds
False Positive Rate15-25%3-5%
Fraud Detection Rate40-60%94%
Transaction MonitoringSample-based (5-10%)100% of transactions
New Fraud Pattern DetectionAfter losses occurPredictive - before losses
Compliance Reporting3-5 days manualAutomated real-time
Internal Fraud DetectionAnnual audit (if lucky)Continuous monitoring
Cost per Investigation$850/case$120/case
Australian Data

Fraud in Australia: The Numbers

Billions

In annual fraud losses reported by Australian businesses

Source: Industry estimates

Many

Australian businesses have experienced fraud in recent years

Source: Industry research

Months

Average time to detect internal fraud without AI

Source: Industry observation

Costly

A major fraud event is a serious hit for mid-size businesses

Source: Industry estimates

Rising

Synthetic identity fraud across Australia

Source: Industry research

Faster

AI-enabled fraud teams detect incidents faster than manual teams

Source: Industry observation

Frequently Asked Questions

Everything You Need to Know About AI Fraud Detection

Fraud risk assessment - no obligation

Ready to Stop Fraud Before It Costs You?

Book a 30-minute fraud risk consultation. We will identify your top vulnerability areas, estimate your annual exposure, and show you how AI detection delivers 94% accuracy with 67% fewer false positives - from day one.

Book Fraud Assessment (03) 9003 0111

30-minute consultation. Fraud detection implementation from $4,997. First detections within 14 days.