Result:
delays, inconsistent data, and avoidable late-notice disputes that can jeopardise coverage.
Large Loss Notices underpin compliance, reinsurance recovery, and quarterly reserve integrity—but the workflow is still stuck in the 1990s. Adjusters comb through adjuster notes, police reports, medical files, legal pleadings and inboxes, then re-key the same facts into a static template.
delays, inconsistent data, and avoidable late-notice disputes that can jeopardise coverage.
amaise deploys autonomous AI agents that read every document, extract the key facts, and assemble them into a single caseDNA™. The engine then pre-populates ~80 % of the Large Loss Notice—leaving adjusters to review, refine and hit “send.” A top-25 U.S. carrier already relies on amaise to keep its LLNs on time and on point.
“amaise’s agentic AI slashed our LLN cycle from five days to under two hours—and our reinsurers have noticed the difference.”
