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Enhance underwriting, post-issue audits, claim review, mortality, and long-term care claims
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What’s next for AI in life underwriting?

How can you be confident in AI accuracy when handling vast quantities of data? In this insightful article, DigitalOwl’s CEO, Yuval Man, delves into the critical role of the context window in addressing this challenge. He also explores other essential topics such as AI accuracy and usability, providing a comprehensive understanding of how advanced AI technologies can enhance the underwriting process.

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Artificial Intelligence

Legal & General reduces post-issue audit effort up to 60% with DigitalOwl

Zach Pugh, Chief Underwriter and Vice President of Underwriting Transformation at Legal & General America, needed a solution that would help his underwriting team streamline the medical review process, enhancing efficiency and ensuring accuracy. Find out how DigitalOwl provided the solution he was looking for with this case study.

  • Reduced review times 60% to 70%
  • Understood the contents of a 370-page APSs in 5 minutes
  • One-third of cases required no further review
  • Provided click-to-evidence for easy verification of facts

Download the case study to learn more!

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Zach Pugh, Chief Underwriter and Vice President of Underwriting Transformation at Legal & General America, needed a solution that would help his underwriting team streamline the medical review process, enhancing efficiency and ensuring accuracy. Find out how DigitalOwl provided the solution he was looking for with this case study.
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Baltimore Life Insurance Company, a long-standing provider of insurance solutions, faced significant challenges in its underwriting and claims processes, stemming from the complexity of Attending Physician Statements (APS) and inefficiencies during manual medical reviews. Using DigitalOwl's cutting-edge AI solutions, Baltimore Life was able to revolutionize their underwriting processes, enabling them to dramatically reduce the time it takes to come to a decision.
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