AI and Automation in Commercial Lending

Published by the Journal of AI, Robotics & Workplace Automation, the professional and academic journal for all those involved in researching and applying artificial intelligence and related techniques or technologies

Progress in artificial intelligence and automation has improved many parts of financial services. However, these techniques have struggled to make inroads in many areas of commercial lending - largely because of the relative unavailability of sufficient data.

Traditional techniques of extrapolation from historical data are also inadequate in times of significant disruption (such as the COVID-19 pandemic). In this paper we discuss these challenges and present techniques such as driver analysis, nowcasting and the use of AI to enable granular sub-sector classification and forecasting.

Access this paper to learn how your bank can enable a greater use of data-driven, AI-augmented decision making to drive profitable growth in your commercial loan book.