A long established specialist insurance and reinsurance business, part of the Lloyd’s of London market, underwrites complex Marine, Energy, Aero, and liability risks. Much of this work still runs through large binder files, with underwriters manually updating the Policy Administration System (PAS) with policy details for each case.
Given that a single cover could involve multiple insurers and high transaction values, onboarding a policy meant transcribing numerous data fields from scanned hard-copy binders into PAS by hand a slow, error prone process with no room to absorb more volume without more staff.
Aiwozo deployed DocuBot, its Intelligent Document Processing platform, combined with agentic AI to handle data entry directly from scanned policy documents.
Extraction agents, using NLP and Intelligent Character Recognition (ICR), read scanned policy binders and pulled out the relevant data fields automatically.
Entry agents, powered by agentic AI, took that extracted data and updated the PAS directly, removing the need for underwriters to manually key in field after field.
Exception handling kept the process reliable: where ICR couldn’t confidently detect text, the case was automatically flagged and routed for manual review, rather than risking a silent error in the PAS.
See Aiwozo DocuBot in action:
Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.
