Fintra Feature
Policy that enforces itself
What spend controls in Fintra do
A spend policy that lives in a PDF is a suggestion. Fintra makes the policy executable: card limits and category rules are enforced at the moment of the swipe, expense rules auto-approve compliant spend and flag the rest, and approvals are reserved for the exceptions that actually need a human. The policy is code, not a hope.
- Card controls: limits, MCC allowlists, vendor locks, single-use
- Expense policy: per-category limits, receipt thresholds, duplicate checks
- Auto-approve within policy; route only blocking exceptions
- Deterministic checks that are testable and consistent
Controls at every spend surface
| Surface | Enforced at | How |
|---|---|---|
| Cards | The swipe | Deterministic controls + Fintra Trust decision |
| Expenses | Submission | Policy engine flags exceptions |
| Bill pay | Before ACH | Approvals + duplicate/price checks |
| Procurement | Bill match | Tolerances flag over-billing |
Humans on exceptions, not everything
Governed and auditable
- Deterministic controls are pure and golden-vector testable
- Every decision (approve, decline, flag) is logged
- Fintra Trust adds a decision layer and an immutable audit trail
- AgentFence defines what any AI step may do and what it must escalate
Questions people ask
How does Fintra enforce spend policy?
At the source. Card limits, MCC allowlists, and vendor locks are checked at the swipe; expense rules auto-approve compliant spend and flag over-limit, missing-receipt, out-of-policy, and duplicate items; bill pay and procurement apply approvals and tolerances. The policy is executed by the system, not left to memory.
What is “approve by exception”?
It means routine, in-policy spend flows through automatically while only the exceptions, the flagged items, reach an approver. Since most spend is compliant, approvers focus their attention on the small share that genuinely needs judgment, which is where control matters most.
Are the controls consistent and testable?
Yes. The card and expense controls are deterministic, pure functions of their inputs with no clock or network, so they behave consistently and can be verified against known test vectors. The same inputs always produce the same decision.
Is there an audit trail of control decisions?
Yes. Every approve, decline, and flag is logged, and Fintra Trust adds a decision layer with an immutable audit trail. AgentFence governs what any AI step is allowed to do, so you have a complete, defensible record of how policy was enforced.
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Make your policy executable
Talk to us: we will map it to your stack. Enforce spend policy at the source, not on the statement.