Challenge
Automation shifted effort from manual research to higher-value tasks. QBE NAU underwriters faced the overwhelming task of applying rules from more than 160,000 Crop Special Provision documents and nearly 1,500 unique statements each year. The fragmented storage of over 400,000 regulatory documents made it difficult to retrieve accurate insights, leading to inefficiencies, inconsistent rule application, and increased risk of errors.
Solution
QBE partnered with Fog Solutions to launch AgriSure.ai, an AI-powered inquiry system built on Microsoft Azure. The solution uses document ingestion, data extraction, and generative AI with retrieval-augmented generation (RAG) to provide underwriters with rapid, context-specific answers. By automating data extraction and streamlining rule interpretation, AgriSure.ai dramatically improves underwriting efficiency, accuracy, and consistency. Stronger compliance and reduced risk exposure.
Results
20%+ faster underwriting
Reduced approval time and improved responsiveness.
Automation shifted effort from manual research to higher-value tasks.
$2M+ annual productivity gains
