Catch the Bad Check Before You Approve It
Deterministic, explainable rules flag the runs that deserve a second look - net spikes, bank changes right before payday, duplicate bank or SSN, and more.
Anomaly rules on every run
Payroll fraud and payroll mistakes look the same on the surface: a number that’s off. Fintra computes a set of deterministic anomaly flags on each run so an approver sees exactly which checks are unusual and why - no black-box scoring, just explainable rules.
| Flag | Trigger |
|---|---|
| Net spike | Net pay >20% vs the trailing-3 median |
| Late bank change | Bank details changed ≤7 days before payday |
| First check | Employee’s first payment |
| Duplicate bank | Two employees sharing bank details |
| Duplicate SSN | Two employees sharing an SSN |
| Added and paid | Employee added and paid in the same period |
| Run cost spike | Total run cost >15% vs the previous run |
Why deterministic rules
Where flags fit
Flags are computed before approval and surfaced to the approver, and they’re part of the plain-English run summary the agent writes. A flagged run isn’t blocked outright - it’s escalated to human judgment.
Inside Fintra
Anomaly detection complements the segregation-of-duties controls: duties stop one person from acting alone, and anomaly flags stop an unusual number from sliding through unnoticed.
Frequently asked questions
What does Fintra flag on a pay run?
Net pay >20% above the trailing-3 median, bank changes within 7 days of payday, first checks, duplicate bank details or SSNs, employees added and paid in the same period, and run cost >15% above the previous run.
Are the flags AI-based?
No - they’re deterministic rules, each with a clear trigger, so approvers can act on them and auditors can understand them.
Do flags block a run?
They don’t hard-block; they escalate the run to a human approver. They do prevent the auto-payroll agent from auto-approving.
When are anomalies computed?
Before approval, and they’re included in the run summary so the approver sees them at decision time.
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