Our systems can be customized to meet your unique compliance and process needs within 100 days. The system is designed like a Netflix style experience, learning with each user's clicks. The system applies several machine learning algorithms to improve oversight and reconciliation performance in your back- and middle-office and with your service providers.
AI guidance & adaptive workflow decreases analyst workload by up to 80 percent
Track fund administrator errors and reporting timeliness across a wide array of processes
Leadership teams receive real-time issue analysis and full audit trails of any errors
The OnCorps platform centralizes dozens of fund administration reports and scores individual transactions based on their level of risk in real time. Unsupervised machine learning algorithms find patterns and outliers in data that analysts and Excel Macros can not. This allows, for instance, errors in the general ledger to be caught on they day they are made, before they accrue over time.
The system is built like the machine learning engines of powerful consumer apps like Spotify and Netflix. It learns and adapts to the profiles of each user. Each analyst sees a single, personalized work queue, prioritizing potential errors based on materiality and risk. The system intelligently routes work to individuals based on leadership settings.
The system tracks the mean resolve times of both analysts and service providers. It then uses this information to project workloads for the day. Algorithms also use the data to track behaviors of analysts and service providers.
The OnCorps system can track service provider performance on resolving issues. OnCorps employs the same strategic supplier metrics used in other industries to jointly improve customer/supplier process performance.