gl-recon

General ledger and subledger reconciliation is automated by comparing key fields from normalized extracts, matching entries at the position or transaction level, and generating break reports for financial accuracy.

Break identification in financial reconciliation surfaces and classifies mismatches between accounts by their likely cause, categorizing discrepancies into timing, FX, mapping, or data quality issues for resolution.

To reconcile accounts during month-end close, run the reconciliation process with GL and subledger extracts for the desired period to automatically match entries and output a summary break report.

Yes, normalization of data extracts is required before reconciling financial accounts to ensure accurate matching at the position or transaction level and to properly classify breaks by likely cause.

The best way to classify reconciliation breaks by likely cause is to automate the comparison of GL and subledger entries, which surfaces discrepancies and categorizes them into timing, FX, mapping, or data quality issues.

Yes, automated reconciliation can be used for daily financial institution workflows to match and compare GL and subledger entries across asset classes, ensuring accurate financial records and generating break reports.