Feathery Launches AI Portfolio Submission Analytics to Help Carriers Understand Why They Win and Lose Business

Feathery, the AI operating system for insurance and wealth management enterprises, announced the launch of AI Portfolio Submission Analytics, a new offering designed to help insurance carriers turn historical submissions into actionable portfolio intelligence.

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In today’s soft market, understanding why business is won or lost has become increasingly important. Yet most carriers leverage only a small fraction of the information contained within submissions, extracting just the fields needed for rating or underwriting while leaving valuable insights locked away in unstructured documents, bind decisions, underwriting guidelines, and supporting materials.

Feathery’s AI Portfolio Submission Analytics changes that by analyzing the full body of submission information across thousands of historical submissions, surfacing patterns and insights from data points that carriers may not currently use for rating or underwriting decisions. Powered by Feathery’s document intelligence capabilities, the offering automatically discovers and structures common data points, correlates submission characteristics with bind outcomes, and surfaces patterns related to appetite alignment, broker performance, emerging risks, and growth opportunities.

“Every submission contains valuable market intelligence, especially the ones you decline or lose,” said Zack Khan, Co-founder of Feathery. “Historically, carriers have only been able to analyze a handful of structured fields needed for rating. With AI Portfolio Submission Analytics, we’re helping carriers unlock insights from their entire submission history, giving underwriting teams a better understanding of why they win, why they lose, and where they should focus next.”

“Insurance organizations have spent years collecting quote submissions without having a practical way to learn from this data at scale,” said Brian Kleber, former Head of Data at Hiscox & Farmers Insurance. “By making it possible to analyze thousands of submissions and identify patterns that influence portfolio performance, carriers can make more informed underwriting decisions, better align appetite with market demand, and uncover opportunities that would otherwise remain hidden.”

AI Portfolio Submission Analytics can also enrich historical submissions with third-party data sources and deliver analytics-ready datasets into existing data environments, enabling carriers to leverage insights within their preferred analytics ecosystems.

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