Once the checks are run against transaction datasets, we typically find that adjustments are needed to reduce the number of exceptions produced.
Each exception is queued to the right person. Our AI shares all relevant data and asks the user to observe and describe what they see.
Our system is capable of applying rules to assign certain exceptions to the right expert. In this way, leaders can be certain the right people are seeing exceptions.