Poster

Client Context

Claims Concierge is a Georgia-based insurance technology startup that supports drivers in navigating automobile property-damage claims. The company provides valuation, negotiation, and end-to-end claim management services for diminished value (DV) and total loss (TL) cases. Its business model is heavily dependent on appraisal quality, as revenue is driven by a percentage of the settlement uplift achieved for clients. As claim volume increased, the company’s appraisal process became a critical bottleneck due to manual workflows, inconsistent methodologies, and fragmented tools, limiting scalability and operational efficiency.

Executive Summary

Claims Concierge is a Georgia-based insurance startup that helps drivers navigate automobile property-damage claims by providing customer logistics, valuation, and negotiation support for diminished value (DV) and total loss (TL) cases. The company’s appraisal function is central to its business model because it directly influences settlement uplift, customer value, and company revenue. As claim volume increased, however, the appraisal process became constrained by manual workflows, disconnected tools, repeated document handling, and inconsistent comparable vehicle selection. Prior to redesigning, each claim required approximately 3.2 labor hours, with about 65 minutes spent in the appraisal stage alone, limiting throughput and creating unnecessary variability in valuation outcomes.

This project redesigned the appraisal stage through three integrated solutions: a standardized Comparable Vehicle Selection Logic, a unified Diminished Value application, and a unified Total Loss application. The new comparable vehicle system replaces discretionary analyst searching with a structured process built on VIN (Vehicle Identification Number) decoding, layered caching, tiered broad-pull retrieval, automated filtering, and similarity-based scoring. In parallel, the DV and TL workflows were rebuilt into streamlined eight-step applications that consolidate tasks previously spread across multiple platforms. The DV workflow now embeds comparable retrieval directly into the appraisal process, uses AI-assisted document extraction with analyst validation checkpoints, and automates final report assembly. The TL workflow guides analysts through interpreting insurer valuation reports, verifying and correcting vehicle data, incorporating aftermarket modifications, replacing weak comparable vehicles, and generating a rebuttal, all within a single interface. Together, these solutions replace fragmented, analyst-dependent processes with standardized, technology-enabled workflows.

The redesigned system has been successfully implemented and is currently in active use by Claims Concierge. As a result, appraisal labor time decreased from 65 minutes to 12 minutes per claim, reducing total claim process time from 3.2 hours to 2.3 hours. This 82% reduction in appraisal-stage labor enables an increase in throughput by 40$ per month without additional staffing, generating an estimated $245,000 in additional annual revenue at current staffing levels. At the same time, cost per claim decreases from $200 to approximately $143, and gross margin improves from 60.8% to 72.0%. Beyond efficiency gains, the redesigned methodology also improves valuation consistency and defensibility by reducing analyst-driven variation and embedding structured, repeatable decision logic into the appraisal process. Overall, the project transforms Claims Concierge’s appraisal design from a fragmented manual operation into a scalable platform that supports higher throughput, stronger margins, and long-term strategic growth.

Project Information

Spring 2026
Claims Concierge

Student Team

Sylvia Shyrel Bentata

Catalina Segura

Octavio Plate

Rasin Vasaya

Nevin Jiang

Quincy Howard

Lauryn Carter

Matias Torres

Faculty Advisor

Faculty Evaluator