How-to Playbook
How to reduce expense fraud
Where expense leakage hides
- Duplicate claims: the same charge submitted twice
- Out-of-policy spend that no one catches at review
- Missing receipts that hide what was actually bought
- Card spend with no limit or category control
The prevention framework
Close the gaps in order
Control at the source
Put limits, category rules, and vendor locks on cards so out-of-policy spend is declined at the swipe.
Detect duplicates
Automatically flag the same merchant, date, and amount submitted twice.
Enforce receipts
Require a receipt above a threshold and flag missing ones.
Approve by exception
Auto-approve in-policy spend so approvers focus on the flagged items.
Keep an audit trail
Log every decision so patterns are visible and defensible.
How Fintra automates prevention
| Gap | What Fintra does |
|---|---|
| Unchecked card spend | At-swipe controls: limit, MCC, vendor lock, single-use |
| Duplicate claims | Policy engine flags same merchant/date/amount |
| Out-of-policy spend | Flags out-of-policy categories and over-limit amounts |
| Missing receipts | Flags amounts at/above the receipt threshold |
| Rubber-stamping | Auto-approves clean items; routes only exceptions |
Expense-fraud checklist
Tighten these controls
- Set per-card limits and category allowlists
- Use single-use cards for one-off vendors
- Turn on duplicate detection
- Require receipts above a set amount
- Switch approvers to review-by-exception
- Keep an immutable log of every decision
Questions people ask
What is the most common form of expense fraud?
Duplicates and out-of-policy claims are far more common than elaborate fraud: the same charge submitted twice, a personal purchase coded as business, or spend above policy that no one catches. Automated duplicate and policy detection closes most of the leakage without a forensic investigation.
How do card controls reduce fraud?
They stop out-of-policy spend before it happens. Per-card limits, MCC allowlists, vendor locks, and single-use cards are enforced at the swipe, so a charge that violates policy is declined at the terminal rather than discovered later on a statement.
Does reviewing every expense catch more fraud?
Usually the opposite. When approvers face every line, they rubber-stamp and the exceptions slip through. Auto-approving in-policy spend and routing only flagged items (over-limit, duplicate, missing-receipt, out-of-policy) focuses human attention where fraud actually hides.
How does Fintra detect duplicate expenses?
Its deterministic policy engine flags an expense that matches another’s merchant, date, and amount as a duplicate, routing it to an approver instead of auto-approving it. Because the check is automatic and consistent, duplicates are caught even when volume is high.
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Close the expense-leakage gaps
Fintra controls spend at the source and flags the exceptions. Talk to us: we will map it to your stack.