Despite the considerable age of the math tools for risk management and well-developed risk methodologies for various economic verticals: finance, logistics, production, energy, etc., automation of the risk management process leaves much to be desired. The traditional tool for such management is still Excel, in which drawing risk management trees, corresponding logic, alerts and countermeasures is a very labor-intensive task, often delaying business decision-making. And the process of manually updating the risk tree is often fraught with errors and lack of transparency.

A digital twin for automated risk management not only ensures easy construction of risk trees by risk coordinators, but also automatically keeps risk scenarios up to date, allows you to configure numerous alert options and inform all stakeholders in the organization.