What it does
Use it when finance data lives across multiple sources and you need a repeatable process for matching records, isolating deltas, and producing a clean exception list.
How it works
- Normalizes the inputs into comparable rows, dates, counterparties, and amounts before any matching decisions are made.
- Separates exact matches from likely matches and unresolved exceptions so humans can focus only on the ambiguous rows.
- Outputs a clean reconciliation summary, unresolved discrepancy report, and next-action checklist.
Best for
- • Monthly close and ledger cleanup
- • Statement-to-book matching
- • Finance ops reviews with a human approval step
Expected outputs
- • Matched and unmatched transaction sets
- • Exception notes with likely causes
- • Decision-ready reconciliation summary