Counterparty exposure limit breaches are reviewed and approved or rejected as appropriate by risk officers.
The resolution involves manual assimilation of data from multiple sources, followed by manual analysis of the data sets to arrive at decisions. This process is time-consuming and error prone.
By using cognitive RPA solutions to automate data assimilation and ML techniques to enable faster analysis and more accurate decision making, limit management can be made more efficient.
Source: TCS
