At what point does exception management become harder than transaction matching in reconciliation?
A lot of reconciliation improvement seems to focus on increasing match rates. But once most straightforward transactions are being matched automatically, the remaining workload can actually become harder.
Finance teams are left investigating timing differences, missing references, partial matches, duplicate postings, intercompany differences, and transactions that need judgment before they can be cleared.
At scale, the bigger challenge often seems to shift from matching transactions to dealing with the exceptions that are left behind. Some teams use Collatio to automate routine matches and surface the cases that actually need review, which can make exception handling easier to manage as volumes grow.
For teams that have automated a meaningful portion of reconciliation:
- Has exception management become the bigger workload?
- What types of exceptions still consume the most analyst time?
- Has automation reduced investigation effort as much as it reduced matching effort?
