Case Study: AEGIS achieves streamlined risk engineering and 4x faster data extraction with Expert.ai

AEGIS Selects expert.ai to Enhance Their Data Strategy with AI-based Natural Language Understanding

AEGIS, the leading mutual insurance company for the energy industry, faced a data-intensive challenge: extracting and analyzing critical information from risk engineering reports during the property underwriting process to improve risk assessment and policyholder insights. To address this, AEGIS selected the expert.ai natural language platform to augment its risk engineering capabilities and accelerate its digital transformation.

expert.ai implemented an AI-based natural language understanding solution that automates reading, extraction and aggregation of data from loss control and property reports, policies and submissions. The deployment enabled faster, more comprehensive data collection and deeper insights for underwriters and policyholders—delivering more than four times the processing speed of AEGIS’s prior methods while maintaining high accuracy through a mix of language understanding, a knowledge graph and machine learning.

AEGIS

Scott Schenker

Senior Vice President and Chief Information Officer