Economic impact of AI use in debt collection at Sber overshoots RUB 2 bn

Sep 23, 2021

The economic impact of AI use in corporate and retail debt collection at Sber topped RUB 2 bn in 2020, said Vice President and Head of the Sberbank Distressed Assets Department Maxim Degtyaryov at the International Legal Forum.

Optimization KPIs have been met by reducing the cost of recovery and operational risks, accelerating and improving collection efficiency by developing and implementing AI, recovery standardization and higher share of overdue debt collection.

Sber has automated enforcement, bankruptcy, and decision-making, the key recovery tools. An Intelligent Management System has been introduced in corporate recovery, which regularly analyzes recovery data with dozens of algorithms, determines the deviations, the repetition rate, and instantly sends a detailed task to be handled with. The recovery of small receivables that customers have with the bank has been digitized and centralized.

Maxim Degtyaryov, vice president, head of the Distressed Assets Department, Sberbank:

“There are three reasons behind the digitization of recovery routine – it is simpler, cheaper, and safer. Sber succeeds in adopting digital technology in e-justice, enforcement of court decisions, and robotic communications. Further digitization of the recovery and bankruptcy sector will largely require new legislative initiatives.”