This session will provide a case study of using Llama2-70b to tackle a data transformation friction point in reinsurance underwriting. The final approach of the solution is industry agnostic. We will walk through our thought framework for breaking down a business problem into LLM-able chunks, lay out the explored solutions and best performing method, compare local vs. at scale inference, and how we evaluated the unstructured LLM responses to prevent hallucination and ambiguity in getting structured response.