Simplifying Submission Triaging with Machine Learning for a Global P&C Insurer

Discover how Xceedance partnered with a U.S.-based global P&C insurance leader to transform their submission triaging process. Leveraging a tailored ML model, we automated the prioritization of high-potential submissions through bound propensity scoring, enabling smarter, faster decision-making. This innovative solution minimized manual effort, streamlined underwriting workflows, and drove measurable improvements in operational efficiency and business outcomes.

Proven Results:

• Delivered an intuitive dashboard for effortless interpretation and actionable insights.
• Achieved a 45% reduction in underwriter effort by automating low-propensity submission reviews.
• Improved the submission-to-bind ratio from 17% to 22% within six months.