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Multi-File Remittance Uploads Are Now Live in Monk

August 10, 2026
3 min read
min read
Product Updates

A single payment run from a customer rarely produces one clean file. It's usually a check image, a backup CSV, and a lockbox export, all referring to the same batch of payments, and most remittance workflows still process each one separately, a byproduct of how the upload tool was built rather than how payments actually arrive.

What we shipped

Monk now lets teams upload remittance files together, grouping them for review instead of processing each one separately. The breakdown is editable before anything is applied, and the system automatically flags remittances that don't have a matching payment yet, so nothing quietly sits in a folder waiting to be noticed.

For background on how remittance matching works generally, our guide to remittance matching covers the fundamentals. This update is specifically about what happens when multiple files show up from the same payment event.

Why batching matters more than it sounds like it should

Processing files one at a time doesn't just take longer. It actively creates more work, because a single payment run split across three files means matching the same underlying payment three separate times rather than once. Each file processed in isolation loses the context that the other two files would have provided.

Grouped review fixes the sequencing problem, not just the volume problem. A team reviewing three related files together can see the full picture of a payment run at once, catch a mismatch that would have looked fine in isolation, and apply everything in one pass instead of three.

What to check in your own remittance workflow

A few things worth checking:

  • When multiple files arrive from the same payment run, are they reviewed together or one at a time?
  • Is there a running list of remittances that haven't been matched yet, or does that information only exist in someone's memory?
  • How long does a remittance typically sit before it's applied to an invoice?
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