Oversight Systems, an operational expense analysis company, has launched its new Intelligent Case Assignment capability, which helps ensure that line-of-business managers responsible for expense control and transaction monitoring efficiently address risk and financial anomalies.

This solution guarantees team members’ time is invested in the highest priority anomalies. “These new features allow customers to more effectively utilize their current teams by automatically focusing their efforts on the highest risk cases,” said Nathanael Lheureux, vice president of product management. “This creates far greater efficencies for managing the various anomalies and risks facing today’s enterprise.”

As financial anomalies or a group of anomalies are discovered, they are assigned to a case, which is then tracked and managed through a state-of-the-art resolution process. Intelligent Case Assignment allocates the highest risk cases to each team member according to their time capacity. If a team member has ten hours available to remediate anomalies they will be assigned ten hours’ worth of the most important cases.

In addition, because of the value of doing employee-centric case review in travel and expense and purchase cards, once a team member is assigned a case from a given traveler/card holder, that team member will be assigned all of the open cases associated with that same employee. Procure-to-Pay (PTP) cases are distributed with a vendor-centric consideration.

Key capabilities in Intelligent Case Assignment tie to the size and nature of the teams doing the review. For large, dedicated teams where the concern is reviewer fatigue, cases are distributed to provide the reviewer new types of highest risk cases each month to increase interest and variety. For smaller teams where team members have other responsibilities, and the main concern is the effort of switching between tasks and consistency in case review, Intelligent Case Assignment provides team members with the highest risk cases that are similar to what they have done in the past.