Features · Fraud detection
Fraud stopped at the gate, not found in the audit.
OmniPATH’s AI analyses every transaction for fraud signals (fake invoices, mandate fraud, collusion patterns and phantom suppliers) and blocks threats before payment is made. Multi-layered protection, real-time alerting.
Prevention, not post-loss detection
Multi-layered fraud prevention.
AP fraud costs UK businesses billions each year, and multi-site operators are prime targets. OmniPATH layers supplier verification, invoice authenticity checks, behavioural analysis and anomaly detection into a single continuous defence, catching threats before money leaves your account.
01 · Risk signals
Screen every transaction across 25+ risk signals.
Each invoice is analysed for fraud indicators including duplicate references, round-number patterns, new bank details, dormant suppliers and approval-threshold gaming.
INV-4821 · FS Foodservice · £2,847 · 23 of 25 cleared
Illustrative| Signal | Result |
|---|---|
| Duplicate reference | Clear |
| Round-number pattern | Clear |
| New bank details | 14 days old, review |
| Dormant supplier | Active 42 days |
| Approval-threshold gaming | Scanning |
02 · Mandate verification
Block mandate fraud with verified payment controls.
Bank detail changes trigger automated verification workflows with dual approval, independent confirmation and full audit trails, removing the risk of misdirected payments.
- Payment held automatically on a bank change
- Dual sign-off before release
- Full audit trail
Bank details changed · payment held
Illustrative| Bank | Account | |
|---|---|---|
| On file for 3 years | Lloyds Bank | **** 8821 |
| New, 18 minutes ago | Revolut Ltd | **** 4392 |
| Stage | Status |
|---|---|
| Detected | Automatic |
| Approver 1 | Pending |
| Approver 2 | Next |
03 · Behavioural AI
Surface collusion patterns with behavioural AI.
Machine learning analyses relationships between approvers, requesters and suppliers, flagging unusual patterns, split transactions and approval routing anomalies.
Threshold gaming detected
Illustrative| Invoice | Date | Amount |
|---|---|---|
| J. Smith to Acme Co · INV-2419 | 12 May · self-approved | £4,950 |
| J. Smith to Acme Co · INV-2438 | 19 May · self-approved | £4,920 |
| J. Smith to Acme Co · INV-2461 | 26 May · self-approved | £4,980 |
| Combined: should have routed | £14,850 |
The OmniPATH resolution
Every payment protected by layered intelligence.
OmniPATH analyses supplier behaviour, invoice patterns and payment anomalies in real time, so fraud is stopped before money leaves your account, not after.
Before
Without OmniPATH
- Fake invoices paid: no verification layer
- Mandate fraud risk: bank detail changes unchecked
- Phantom suppliers: fictitious vendors undetected
- Collusion invisible: internal schemes go unseen
- Post-loss discovery: fraud found only at audit
After
With OmniPATH
- Invoice authenticity: AI verifies source and format
- Mandate protection: bank changes need dual sign-off
- Supplier risk scoring: dormant and ghost vendors flagged
- Behavioural analysis: unusual patterns surfaced early
- Pre-payment blocking: threats stopped before payout
Make AP fraud a thing of the past.
Book a 30-minute demo and we'll show you how OmniPATH detects and blocks fraud before a single payment is made.
No setup fees · No minimum term · UK-based support