https://store-images.s-microsoft.com/image/apps.44127.4b7d8579-68ba-4d8d-8bf3-dcad4ac8e56a.16d7f1d0-09a3-488c-88e1-2fdddd4435b9.92dfaa23-0ead-42ce-b5d2-cea83a6ed027

Gen AI powered Insurance Underwriter

by Crisp Analytics Private Limited

Gen AI powered Insurance Underwriter

Overview:

Traditional insurance underwriting involves a tedious process of manually analysing numerous data points and continuously referring to the underwriting manual for validation. This approach not only consumes a significant amount of time but also increases the likelihood of errors and inconsistencies, leading to inefficiencies and higher operational costs.

LUMIQ’s Insurance Underwriter is designed specifically to assist underwriters by automating the manual tasks involved in the underwriting process. Utilizing Gen AI, the solution analyses all available data points, cross-references them with the company’s underwriting manual, and provides clear and actionable recommendations, along with detailed explanations behind every recommendation/ This significantly reduces the time and effort required for underwriting, ensuring accurate and consistent decision

Key Benefits:

· Consistent UW Assessment

· Reduced Processing Times

· Automated Compliance checks

· Detailed Risk Analysis

· Lower Operational Cost

· Accurate Data Extraction

· Increased Underwriter Productivity

Key KPIs Affected:

· Increased STP

· Reduction in Turnaround Time

· Early detection of Forged documents

Technical Specifications:

Supported Platform – Azure

LLM Model – GPT-4

Deployment – Cloud-based

At a glance

https://store-images.s-microsoft.com/image/apps.1531.4b7d8579-68ba-4d8d-8bf3-dcad4ac8e56a.a756db2d-548d-45fa-a1a1-710ffb291144.51bf3108-4548-4189-9cf8-ab48bfd9eb91
https://store-images.s-microsoft.com/image/apps.8633.4b7d8579-68ba-4d8d-8bf3-dcad4ac8e56a.a756db2d-548d-45fa-a1a1-710ffb291144.c0ef3a9a-b18d-498b-a19c-c9b5939f6c0e
https://store-images.s-microsoft.com/image/apps.24323.4b7d8579-68ba-4d8d-8bf3-dcad4ac8e56a.a756db2d-548d-45fa-a1a1-710ffb291144.e0fd1bc4-7cd2-45d4-907c-01ebc0af7110