Finance operations chain — matching, fraud signals, forecast
Reconciles bank data with invoices, flags duplicates and anomalies, forecasts cash flow.
What is inside
You build a working financial picture from bank transactions and invoices. The goal is to surface the unmatched and the suspicious — not to produce a pretty report. Bank data -> transaction ingest -> invoice collection -> text extraction -> matching -> expense classification -> duplicate detection -> anomalies -> fraud risk -> cash-flow forecast -> payment scheduling -> excepti…
- The chain
- 1. Matching
- 2. Duplicates
- 3. Anomalies
- 4. Cash-flow forecast
- 5. If a liquidity problem appears
- Limits — this matters
- Output
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