Fraud AnalyticsRiskPaymentsAnomaly Detection

Fraud Detection — Transaction Scanner — Use Cases

Scores transactions for fraud risk using amount, channel, location, merchant category and behaviour signals, then creates an investigation queue.

⚠ Project-specific challenge
Fraud teams need fast triage without reviewing every transaction manually. The difficult part is separating true risk from normal high-value behaviour.
✓ Practical value
The sandbox demonstrates a transparent rule-and-score workflow that supports analyst review, exposure estimation and prioritised escalation.

Sector-specific use cases

The examples below show where this project can be used, what decision it supports, and how a user can test the scenario in the sandbox.

Payments & FinTech

Card and wallet transaction triage

Where it fits: Flag unusual transaction amount, location, channel or merchant patterns for review.

Decision supported: Prioritise high-risk transactions while reducing manual review of low-risk activity.

How to test it: Load sample data, adjust filters, then review risk distribution and investigation queue.

Insurance

Claims anomaly screening

Where it fits: Identify claims with unusual cost, provider, frequency or geography patterns before settlement.

Decision supported: Support special-investigation teams and reduce leakage from suspicious claims.

How to test it: Upload a claims-style CSV and map amount/category/location fields.

E-commerce

Chargeback and account-abuse monitoring

Where it fits: Surface risky orders, mismatched locations or abnormal purchase behaviour.

Decision supported: Prioritise fulfilment holds, verification and refund/chargeback prevention.

How to test it: Use the scored output and export suspicious transactions.

NGO / Donor Finance

Grant and field-payment anomaly detection

Where it fits: Screen payments, advances or vendor disbursements for unusual amounts or locations.

Decision supported: Strengthen donor accountability and audit readiness without accusing legitimate transactions.

How to test it: Use the assistant to summarise high-risk exposure and recommended controls.

Procurement

Supplier invoice risk scan

Where it fits: Flag duplicate-like invoices, unusual values or suspicious category patterns.

Decision supported: Reduce overpayment risk and support procurement compliance.

How to test it: Filter by category and review triggered flags.

Telecom / Mobile Money

Agent and customer activity monitoring

Where it fits: Detect abnormal transaction concentration, channel mix or location shifts.

Decision supported: Guide risk teams toward accounts requiring validation or enhanced monitoring.

How to test it: Use risk-tier filters to isolate high-priority cases.

Implementation fit matrix

A quick view of the sector, applied use case, decision supported and how users can validate it in the sandbox.

SectorUse caseDecision supportedHow to test
Payments & FinTechCard and wallet transaction triagePrioritise high-risk transactions while reducing manual review of low-risk activity.Load sample data, adjust filters, then review risk distribution and investigation queue.
InsuranceClaims anomaly screeningSupport special-investigation teams and reduce leakage from suspicious claims.Upload a claims-style CSV and map amount/category/location fields.
E-commerceChargeback and account-abuse monitoringPrioritise fulfilment holds, verification and refund/chargeback prevention.Use the scored output and export suspicious transactions.
NGO / Donor FinanceGrant and field-payment anomaly detectionStrengthen donor accountability and audit readiness without accusing legitimate transactions.Use the assistant to summarise high-risk exposure and recommended controls.
ProcurementSupplier invoice risk scanReduce overpayment risk and support procurement compliance.Filter by category and review triggered flags.
Telecom / Mobile MoneyAgent and customer activity monitoringGuide risk teams toward accounts requiring validation or enhanced monitoring.Use risk-tier filters to isolate high-priority cases.

Research-informed grounding

The examples above were revised against current industry and research references on how this class of analytics solution is used in practice.

🧪 Test the Sandbox 🔬 Review Methodology 📄 Documentation