At Sofiana, we foresee a future where commercial banks will extensively use Artificial Intelligence in risk management to operate in a more lean and accurate manner.

Sofiana provides portfolio-level, Artificial Intelligence-based bank risk management solutions to improve efficiencies in decision making and to drive regulatory costs down.

Reporting required by regulators is divided in two groups: current state and predictive analysis. Sofiana is focused on the latter, as presently forecasting portfolios is largely done manually and at an aggregate level, increasing costs and lacking accuracy.


	Through an Artificial Intelligence stress testing process banks can predict asset quality under several macroeconomic conditions. The process is automated and repeatable to allow banks not only lower regulatory costs, but also optimize capital adequacy and return on investment. Learn more

	Artificial Intelligence models can analyze large and complex datasets, capturing intricate patterns and dependencies. This leads to more accurate liquidity risk forecasts compared to traditional methods, reducing the likelihood of unexpected liquidity shortfalls or excesses. Moreover, the entire process is automated increasing compliance and reducing costs. Learn more

	To mitigate problems arising from interest rate fluctuations, regulators often require banks to conduct thorough Asset/Liability Management assessments. Artificial Intelligence can aid in matching assets and liabilities to meet regulatory expectations, lower compliance costs and at the same time increase net interest income. Learn more

Learn more about how the VisualBank Analytics Platform integrates all risk types to achieve enterprise-level risk management

Learn more about Sofiana's Vision on the future of bank risk management

Sofiana authored White Papers

The Future of Bank Risk Management is AI

Bank Stress Testing Benefits