Field note

Reading Exception Logs Without Losing the Signal

Person analyzing data on multiple screens

Exception logs grow quickly. A shared-service center posting thousands of invoices a month will generate overrides for missing purchase orders, late approvals, and vendor master changes. If every line is treated as equal, a fraud review stalls before it starts.

Begin by separating mechanical noise from judgment overrides. Mechanical items—duplicate payment warnings already cleared with matching remittance advice—rarely need deep testing. Judgment overrides, especially those touching cash, related parties, or unusual counterparties, belong in the first sample.

Next, bind each exception to a period and an owner. Fraud indicators often cluster: the same clerk, the same Friday cut-off, the same newly created vendor. A sorted log that shows who approved what, and when, gives reviewers a map instead of a pile.

Finally, document the sampling rule before you open the first file. Whether you take all high-value items plus a random slice of the rest, write it down. That discipline keeps later discussions with management focused on evidence, not on whether the sample felt fair after the fact.

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