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 94% of fraud attempts, and reduces false positives by 67% — so legitimate customers are never blocked.
Fraud Risk Assessment
Answer at least 3 questions to see your vulnerability score
Fraud Is Costing You More Than You Think. Here Is Why.
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.
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.
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.
False positives frustrate legitimate customers
Rule-based fraud systems generate 15-25% false positive rates, blocking legitimate transactions and frustrating your best customers. AI contextual scoring drops this to 3-5% — protecting revenue while still catching actual fraud.
No real-time monitoring means reactive detection
Most Australian SMEs have zero 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.
Reactive fraud response costs 3x more than prevention
ACSC research shows businesses that detect fraud proactively spend one-third of what reactive businesses spend on recovery, legal fees, and reputation damage. AI shifts you from reactive to predictive — stopping fraud before losses occur.
From Vulnerable to Protected in Four Steps
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.
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.
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.
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.
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.
Fraud Prevention ROI Calculator
Estimate how much AI fraud detection could save your business annually.
These are benchmark estimates. Your custom assessment provides precise projections based on your transaction data.
Fraud Detection Across Every Industry
Finance & Banking
Transaction monitoring, account takeover detection, synthetic identity prevention, AML compliance
E-Commerce & Retail
Payment fraud screening, chargeback prevention, promo abuse detection, account creation fraud
Insurance
Claims fraud detection, staged accident identification, provider collusion analysis, premium fraud
Healthcare
Medicare billing fraud, prescription fraud, phantom patient detection, identity misuse
Retail & Payments
POS fraud prevention, return fraud analysis, loyalty programme abuse, gift card fraud detection
Construction & Trades
Invoice fraud prevention, ghost employee detection, materials theft analysis, subcontractor fraud
The Numbers Behind AI Fraud Detection
AI catches 94 out of every 100 fraudulent transactions — compared to 40-60% for rule-based systems and manual review sampling
Contextual risk scoring means fewer legitimate transactions are blocked, protecting customer experience and revenue
Our Australian clients prevent an average of $230,000 in fraud losses annually through AI detection and prevention
Every transaction is scored in under 0.3 seconds — fast enough to block fraud before settlement without slowing legitimate payments
Unlike manual review that samples 5-10%, AI monitors every single transaction, eliminating the gaps that fraudsters exploit
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
| Metric | Without AI | With AI |
|---|---|---|
| Detection Speed | Days to weeks | < 0.3 seconds |
| False Positive Rate | 15-25% | 3-5% |
| Fraud Detection Rate | 40-60% | 94% |
| Transaction Monitoring | Sample-based (5-10%) | 100% of transactions |
| New Fraud Pattern Detection | After losses occur | Predictive — before losses |
| Compliance Reporting | 3-5 days manual | Automated real-time |
| Internal Fraud Detection | Annual audit (if lucky) | Continuous monitoring |
| Cost per Investigation | $850/case | $120/case |
Fraud in Australia: The Numbers
Annual fraud losses reported by Australian businesses
Source: ACCC Scam Report 2025
Of Australian businesses experienced fraud in the past 2 years
Source: PwC Global Economic Crime Survey
Average time to detect internal fraud without AI
Source: KPMG Fraud Barometer Australia
Average cost of a major fraud event for mid-size businesses
Source: CPA Australia Fraud Report
Increase in synthetic identity fraud across Australia since 2022
Source: Equifax Australia
Of AI-enabled fraud teams detect incidents faster than manual teams
Source: Deloitte AI in Financial Crime
Everything You Need to Know About AI Fraud Detection
Ready to Stop Fraud Before It Costs You?
Book a free 20-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.
Free 20-minute consultation. Fraud detection implementation from $4,997. First detections within 14 days.