We’ve seen transaction volumes grow fast over the last few quarters due to new revenue streams and more digital payment channels. The core problem is that reconciliation workflows were designed for a much smaller scale. What used to be a few thousand entries per cycle is now tens of thousands.
Some patterns we’re struggling with:
We’re exploring approaches beyond just throwing more people at the problem. One option we’re assessing is using account reconciliation automation platforms to handle bulk matching and surface only real exceptions for review.
For those who’ve scaled reconciliation:
Some patterns we’re struggling with:
- More false mismatches due to timing and batching differences
- Increased manual reviews even for low-risk items
- More pressure during close windows
- Reconciliations getting deprioritized when firefighting elsewhere
We’re exploring approaches beyond just throwing more people at the problem. One option we’re assessing is using account reconciliation automation platforms to handle bulk matching and surface only real exceptions for review.
For those who’ve scaled reconciliation:
- What broke first when volumes grew?
- Did automation reduce noise or just move the bottleneck elsewhere?
- How did you redesign controls for higher throughput?