Transition Risk Assessment

Company and supply chain data under climate scenarios predict portfolio revenue risks and regulatory compliance

Business impact

• Portfolio risk exposure — Reduces unexpected losses by quantifying climate transition risks in investments
• Climate risk disclosure compliance — Supports meeting regulatory requirements through accurate climate risk reporting

Data requirements

• Company activities and financial data (Structured) — Used to assess revenue impact under different climate transition scenarios
• Supply chain exposure data (Structured) — Analyzes indirect risks from suppliers affected by climate policies
• Regional policy and climate scenario data (Text) — Incorporates geographic and regulatory variations into risk modeling

AI methods and techniques

• Predictive AI — Forecasts future revenue and risk impacts under various climate transition scenarios
• Symbolic AI — Integrates domain knowledge of climate policies and regulations into assessments

AI models and model families

GPT-4o, Claude, Llama