In Spring 2025, members of Generative AI at Cornell partnered with QuickFi to explore how generative AI could solve two growing operational challenges: the tedious manual verification of borrower insurance certificates, and the difficult and sometimes inconsistent background checking of vendors supplying equipment to borrowers.

To eliminate human effort, the teams applied backend engineering, AI/ML integrations, and event-driven automation to build two fully autonomous systems.

Generative AI at Cornell helped QuickFi turn two manual processes into scalable fully-automated systems through a smart combination of backend engineering, AI-driven validation, and real-world workflow automation.

“We were delighted to partner with the Generative AI at Cornell team on these two projects which show the tremendous capabilities of these talented Cornell students to use emerging new Agentic AI technology to improve long-standing business models in banking and finance,” Bill Verhelle, QuickFi CEO (Cornell Law School, 1998) said.

Insurance certificate verification and monitoring as well as vendor due diligence can operate autonomously, improving compliance, reducing risk, and enabling faster, less costly, more scalable operations. These projects showcase how Generative AI can transform critical business operations across varied industries.

Learn more about this project here.