Adjust models based on scenarios and constraints
Improve decision-making on credit, performance, or risk
Use Cases
Banking use case for assessing and managing credit risk: Causal scoring and decision-making
Classical approaches predict default without explaining its causes. ScalRisk models cause-and-effect relationships to understand risk mechanisms and inform decisions before they are made.
- Test 'what-if' scenarios on scoring variables and economic conditions
- Identify the factors that truly drive default risk
- Reduce bias and improve the robustness of credit decisions
Industrial use case for assessing and managing operational risks: Causal analysis of system performance
Classical approaches identify correlations without explaining the underlying mechanisms. ScalRisk models cause-and-effect relationships to understand the factors that degrade or improve performance and anticipate the impact of decisions.
- Assess the impact of industrial parameters and production constraints
- Identify key factors influencing performance, quality, or failures
- Reduce operational risks and optimize critical industrial decisions
