From port of origin to final destination, Zentis AI traces every document, vessel, and cargo variable to power faster and sharper underwriting decisions.
Traditional marine underwriting involves reviewing large volumes of trade documents such as invoices, packing lists, and bills of lading,each formatted differently and often containing incomplete or ambiguous details. Underwriters must manually extract cargo information, verify voyage specifics, interpret product-risk guidelines, and ensure treaty alignment with reinsurers. This creates long turnaround times, inconsistent assessments, and high dependency on experienced specialists. Missing or unclear data leads to repeated customer follow-ups, while manual reinsurer coordination further slows decision-making. As case volumes grow, maintaining accuracy and governance becomes increasingly difficult.
Zentis AI uses multimodal extraction agents to convert unstructured marine documents into structured JSON with commodity, packaging, voyage, and Incoterm details. A Risk Assessment agent evaluates cargo exposure using underwriting manuals, historical claims patterns, and vessel risk indicators. A Treaty Compliance agent checks alignment with reinsurer rules and automatically determines cession requirements. The system provides a consolidated risk-and-premium summary with full explainability and routes exceptions to underwriters for oversight. This orchestration reduces manual reading, improves consistency, and accelerates approval cycles.
Reimagine Marine Insurance with Zentis AI
Witness Agentic Intelligence in Action