To resolve the problem of unstructured data and non-standardized search patterns, we used bots powered by RPA and Machine Learning (ML) algorithms to seamlessly perform complex search patterns across systems to capture debtor information. To accelerate transactional throughput, we processed all debtor information through Kastle, the bank's factoring product management software.
To do away with the effort-intensive process of manual data collection and analysis, we also integrated the solution with Oracle FLEXCUBE, the bank's core banking system. This helped the client to automatically and instantly fetch and screen debtors' financial history. Alongside this, the computation of due diligence scores was automated with the intention to expedite the decision-making process.
Virtusa supports us in our intelligent process automation, and have been a key partner in
delivering some substantial projects delivered over the last two years to a point where we
now have over 40% of our processes straight through processed. They are a great partner to
work with, and I really enjoy that they bring in innovative ideas, positive attitudes, and a