As insurers increasingly rely on generative AI (GenAI) to extract insights from unstructured content, from policy documents to claims files, proper content curation and metadata management are critical to the accuracy and reliability of these systems. Unlike traditional data governance, which focuses on structured data in databases, document governance addresses the unique challenges of managing unstructured content across diverse repositories, ensuring version control and maintaining the contextual metadata that AI systems require for accurate decision-making.
This brief examines the essential components of document and metadata governance for GenAI implementations in insurance. It is based on Datos Insights’ ongoing research into AI applications in insurance, drawing upon conversations with carriers, solution providers, and industry experts about their experiences implementing RAG solutions and managing content for GenAI consumption.
Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.
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