Enhance Risk Profiling with Unstructured Data Analysis

Traditional risk assessment often relies on structured data, potentially missing crucial context hidden in unstructured sources like inspection reports, claims notes, or even publicly available data. LLMs excel at analyzing text, identifying potential risk factors, inconsistencies, or mitigating elements mentioned in narratives. This provides a more holistic view of the risk beyond simple data points. For instance, an LLM could analyze property inspection reports to identify mentions of specific hazards (e.g., "visible roof damage," "outdated electrical wiring") that might not be captured in standard forms.