Machine learning can leverage fuzzy matching to encode baseline underwriting logic in addition to an evolving algorithm that can optimize the engine’s performance over time. Additionally, natural language processing (NLP) can limit the amount of material that requires analyst review, streamlining all but the trickiest applications.