Reviewing bank statements line by line is slow, and the patterns that matter are easy to miss across many accounts and months. Automated bank-statement analysis reads every transaction, surfaces unusual patterns, rates the risk, and keeps the evidence — so reviewers spend their time on judgment, not data entry.
From PDF to a clear picture
The pipeline opens statement PDFs and pulls out every transaction — date, amount in, amount out, balance, and counterparty — then cleans the messy entries into a consistent table and recognises which banks and related parties are involved, so the picture makes sense at a glance.
The red flags worth catching
- Many small deposits that quietly add up to a large sum.
- Money arriving and leaving on the same day.
- Repeated exact round-number transfers.
- An account with huge money flowing through it but a small balance.
One risk rating, with the evidence
Every pattern is weighted and rolled into a single risk rating, so you instantly know whether activity is routine or worth investigating. Everything is exported to spreadsheets and each flag is backed by the exact transactions behind it — so any conclusion can be double-checked, sorted, or shared.
The honest part
Automated analysis doesn’t make accusations. It highlights what deserves attention and why, and leaves the final judgment to a person — keeping a human firmly in the loop while removing the manual grind.
Frequently asked questions
What does it flag?
Patterns like many small deposits adding up, same-day money in and out, repeated round-number transfers, and high flow against a small balance.
Does it decide guilt?
No — it surfaces what deserves attention and why, with the underlying transactions as evidence, and leaves the decision to a human reviewer.
Can flags be verified?
Yes — every flag is backed by the exact transactions behind it, and everything is exported to spreadsheets for checking and sharing.
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