Case Study: Aegis London achieves faster, more efficient inbound information processing with Fisent BizAI

Aegis London - Customer Case Study

Aegis London, a top-performing syndicate in the Lloyd's of London insurance market, faced the challenge of processing a high volume of inbound information that came in various structures and formats. This labor-intensive task, such as reviewing broker submissions for policy adjustments, diverted its underwriters' valuable time away from new business. To address this, they partnered with Fisent and implemented its BizAI solution.

Fisent's BizAI used generative AI to seamlessly process the multitude of document structures, languages, and formats. The solution delivered actionable data directly into the enterprise workflow, creating cost and speed advantages for Aegis London. This improved how data is used to drive more timely and informed business decisions, allowing underwriters to focus on their core work.

Aegis London