Provectus
41 Case Studies
A Provectus Case Study
Convex, an international specialty insurance company, wanted to reinvent its underwriting process by using generative AI. Underwriters were struggling to distill hundreds of pages of complex risk reports in the short time brokers allowed, so they needed a faster way to support accurate risk decisions. Provectus was brought in to help modernize this process with AI-powered document understanding.
Provectus developed and deployed a generative AI solution on AWS, using a large language model on Amazon Bedrock to summarize and extract key details, sentiments, and metrics from PDF risk reports. The system delivers web-viewable or PDF-exportable summaries that mirror SME outputs, cutting report processing time to about 10 minutes and enabling Convex to analyze 100x more risk reports, improving speed, scale, and decision quality.
International Specialty Insurance Company