Exception Handling
Exception handling in financial operations is the workflow for identifying, investigating, and resolving transactions that fail to match during automated reconciliation. Exceptions are the residual items after matching rules and ML models have processed everything they can — they represent genuine discrepancies, data quality issues, or edge cases that require human judgment. Effective exception handling transforms these from an unstructured backlog into a prioritized, context-rich queue that operations teams can resolve efficiently.
Key Details
- Exception categories include: amount mismatches, missing counterparty records, duplicate transactions, timing overages, and format/reference errors
- Priority scoring ranks exceptions by financial impact, age, and likelihood of resolution — high-value items surface first
- Each exception should include full context from both source and target records, suggested resolution actions, and similar historical resolutions
- Aging analysis tracks how long exceptions remain open — SLA targets typically require resolution within 3-5 business days for material items
- Root cause tagging on resolved exceptions feeds back into matching rules, systematically reducing future exception volume
- Segregation of duties requires different people to investigate exceptions and approve write-offs or adjustments above threshold amounts
- Exception rate (unmatched items / total items) is the primary reconciliation quality KPI — best-in-class targets below 2%