RiskTechAI50 reports

This comprehensive study offers a panoramic view of the risk technology industry and a detailed examination of specific machine learning (ML) architectures and methods. In this report, Chartis adopts a pragmatic approach, assessing the current state of AI in risk management by identifying areas of maturity, promising growth and innovation. From emerging large language model (LLM)-based applications to established credit-scoring and fraud-detection ML models, the report highlights the depth and diversity of AI applications in the field.