Illustrative scenario. Figures are modelled on typical Omnifys deployments and are not drawn from a named client engagement.
The challenge
A payments provider processing 2.4 million transactions a month relied on static rules that flagged too much and caught too little. Analysts worked an alert queue that was 80% false positives, genuine fraud was often confirmed only after chargeback, and legitimate customers were being declined at checkout.
What Omnifys deployed
- Behavioural anomaly detection scoring every transaction in real time
- Case creation with evidence bundles so analysts see context immediately
- Feedback learning from analyst decisions to sharpen the model
- Tiered response: challenge, hold or block rather than a single decline
Agents used: Fraud Detection Agent, Real-Time Prediction Agent, Compliance Monitoring Agent.
Results
- 61% — reduction in fraud losses
- 44% — fewer false declines
- 8 minutes — average alert-to-decision time, down from 6 hours
- 2.4M — transactions scored monthly with no added latency
Why it worked
The win came from reducing false positives as much as catching fraud. Every wrongly declined transaction is a customer who considers switching provider.
Explore this for your business
Every Omnifys agent routes tasks across 15+ leading LLMs, integrates through n8n, Zapier and 300+ connectors, and ships with monitoring, audit trails and human-approval steps you control. Typical deployment runs two to six weeks from discovery to production. Book a free 30-minute consultation to map the highest-impact automation for your team.