AI-Assisted Complaints Analysis and Market Conduct Risk Scoring

This system uses large language models to analyse consumer complaints data collected by the Financial Consumer Agency of Canada, and to build a risk model that helps supervisors identify which financial market participants warrant closer scrutiny. It is used exclusively by government employees as part of a risk-based supervision strategy. Members of the public whose complaints inform the model are not directly exposed to automated decisions; rather, the outputs guide internal supervisory priorities.