Expense management · Production
Expensya payment cards with AI-powered anomaly detection and fraud compliance
The problem
Companies lacked upfront control over employee spending, relying on post-purchase reconciliation, cash advances, and out-of-pocket reimbursements, with no enforcement of spending policies across geographies.
Workflow diagram · grounded in source
1
Set card rules and limits
trigger
“Set the payment limits, expense categories, budgets, and the days and hours that the cards will work for your employees”
2
Rules checked at payment
validation
“These rules are checked each time the payment card is used”
3
AI anomaly detection
ai_action
“AI-powered anomaly detection to spot out-of-the-ordinary expense amounts, identify unusual spending patterns, and validate receipts”
4
Freeze or disable card
human_review
“With real-time visibility to all payments, you can disable the card or the budget immediately for concerns of fraudulent activities”
5
Native reconciliation
integration
“cards, expenses, budgets, and travel bookings are all in one platform, you also have native reconciliation between the bookings/payments and the expense with a unified view for payments and expenses in one platform”
Reported outcome
Employees literally cannot spend out of policy, and AI-powered fraud detection keeps compliance always audit-ready with full spend traceability.
Reported metrics
Card transaction rebateup to 0.5%
Reported stack
ExpensyaApple PayGoogle PayAdyenERP
Frequently asked questions
What did this team achieve with this AI workflow?
Employees literally cannot spend out of policy, and AI-powered fraud detection keeps compliance always audit-ready with full spend traceability.
What tools did this team use?
Expensya, Apple Pay, Google Pay, Adyen, ERP.
What results were reported?
Card transaction rebate: up to 0.5% (source-reported, not independently verified).
How is this expense management AI workflow structured?
Set card rules and limits → Rules checked at payment → AI anomaly detection → Freeze or disable card → Native reconciliation.