AmTrust wanted to create a capability for its brokers to create a quote using a competitor’s proposal, quote, or policy as a basis more efficiently. The goal is to help AmTrust compete for more business faster by getting a competitive quote in front of a prospective customer quickly. The company developed a solution using large language models (LLMs) to extract risk information, generate a quote against the competition and create a personalized summary. This replaces the previous method for doing this, which had brokers re-keying data in manually.

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