Guide
How to reduce differences in AR reconciliation
Practical strategies for AR teams that need to close periods with fewer unreconciled differences.
Common sources of differences
AR reconciliation differences typically come from timing mismatches, exchange rate variations, intermediary fees, and data entry errors.
How configurable tolerances reduce noise
Setting tolerances by amount, percentage, and date range lets the system auto-reconcile minor differences.
Mapping rules for heterogeneous sources
When fields do not match across sources, mapping rules normalise the data before comparison.
Tracking recurring differences
Logging and classifying differences from each run helps identify patterns that can be resolved with additional rules.
