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Capability · Intelligence

Fraud Detection

Every transaction screened. Every anomaly explained.

MyVyay screens 100% of expenses and invoices against duplicate, manipulation, and behavioural-anomaly models — surfacing risk with clear explanations, not black-box scores.

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Quick answer

MyVyay Fraud Detection screens every expense and invoice with AI models for duplicates, receipt manipulation, split claims, and behavioural anomalies — typically recovering 2–4% of T&E spend lost to leakage.

Fraud Detection

3.2%
average spend leakage recovered
100%
of transactions screened
87%
fewer false positives vs. rule-only systems

Capabilities

What Fraud Detection does for you

Duplicate fingerprinting

Same receipt across employees, months, or slightly altered amounts — caught.

Image forensics

Edited, regenerated, or AI-fabricated receipts detected at pixel and metadata level.

Split-claim detection

Spend split to stay under approval limits is correlated and flagged.

Behavioural baselines

Per-employee and per-vendor patterns establish what normal looks like.

Explainable flags

Every flag states its evidence, so reviewers decide in seconds.

Risk-based routing

High-risk claims escalate automatically; clean claims fast-track to approval.

Process

How it works, step by step

01

Screen

Every document passes duplicate, forensic, and pattern models at ingestion.

02

Score

Transactions receive an explainable risk score with cited evidence.

03

Route

Risk determines the approval path — fast-track, review, or escalate.

04

Learn

Reviewer decisions tune the models to your organisation's risk profile.

Key takeaways

  • Sampling-based audit misses most leakage; screening 100% of spend doesn't.
  • Image forensics counters the rising threat of AI-generated fake receipts.
  • Explainable evidence keeps reviewers fast and audit-defensible.
  • Risk-based routing speeds up honest employees while tightening control.

FAQ

Fraud Detection — frequently asked

Answers our solutions team gives in real evaluations.

What types of expense fraud does MyVyay detect?
Duplicate submissions, altered and AI-generated receipts, inflated amounts, split claims designed to dodge approval limits, out-of-pattern vendor activity, and collusive behaviour across employees.
Can it detect AI-generated fake receipts?
Yes. Image-forensic models analyse pixel-level artefacts, metadata inconsistencies, and generation signatures typical of fabricated receipts, and flag them with visual evidence.
Will legitimate claims get blocked?
Flags route to human review rather than auto-rejecting. Behavioural baselines and reviewer feedback keep the false-positive rate low — typically under 2% of flagged items.
Does fraud screening slow down approvals?
The opposite: screening completes in seconds at ingestion, and clean claims fast-track through auto-approval because risk is already quantified.

Works with

Stronger together

AI OCR

Documents in. Structured, validated data out.

Policy Engine

Your expense policy, enforced in real time — not at audit.

Corporate Cards

Cards with controls built in — and reconciliation built out.

Analytics

From spend data to board-ready insight — in real time.

Get started

Your close doesn't have to be a crunch.

See MyVyay run against your policies, your ERP, and your document types — in a 30-minute working session.

Book a demo Run the ROI model

2–4 week implementation · No lock-in · Priced per active user