Success Story
A specialty insurance carrier used agentic AI to score and rank underwriting submissions by desirability before human review. The reordered queue put the highest-value business first, redirected hundreds of underwriting hours a week to high-value assessment, and cut quote turnaround on top broker business.
Specialty underwriting requires a unique risk assessment on every submission, and that assessment takes time. The carrier worked its queue chronologically, so underwriters handled files in the order they arrived. Under unpredictable volume, that order worked against the business.
When volume spiked, there were never enough underwriting hours to clear the queue. A chronological queue treats a low-priority risk and a strong, high-margin submission exactly the same, so the best business waited in line behind the rest. By the time an underwriter reached a high-value file, the prospect had often placed the risk elsewhere, or the policy category had hit its portfolio limit and closed.
The carrier could see the cost. Its broker network sent consistently strong submissions. The lower-risk, higher-margin policies it most wanted to write were identifiable at intake. Assessing every criterion still had to happen in sequence, one full file at a time, so there was no capacity to surface those policies before the window closed.
Ashling built an agentic pre-screening solution that ranks the queue by desirability before any human review begins.
As each submission arrives, the solution validates the core data and calculates a dynamic desirability score against the carrier's appetite and portfolio limit goals. Underwriters open a queue ordered by that score, highest-value business first. Higher-risk and lower-priority submissions move down automatically, and category limits factor into the ranking so the queue supports portfolio diversification.
Ashling ran the program end to end: appetite and scoring logic defined with underwriting leadership, agentic pre-screening and data validation, the scoring engine, integration with the existing intake process, and a reporting layer that captures score data over time. Advise, build, and execute ran as one continuous program.
The specialty carrier now quotes more high-value submissions per underwriter each week, and turnaround on top-scored broker business is faster. The shift freed underwriting hours that used to go to chronological triage, all of it redirected to high-value assessment. Because category limits factor into the ranking, the team sees fewer near-limit surprises and keeps the portfolio diversified against its goals. Every scored submission also adds to a growing evidence base of desirability scores and post-bind outcomes, giving underwriting leadership a factual basis for future guideline refinements.
Underwriters now spend their hours on the risks worth writing. Strong broker submissions get quoted before the prospect moves on, which reinforces the broker behavior the carrier wants and keeps the best submissions coming back. Over time, the scoring data builds a factual picture of what strong business looks like for this carrier, and the underwriting team uses that view to sharpen its guidelines. The queue stopped being a waiting room. It became a strategic engine for a stronger, more profitable book of business.
