Large-Risk Underwriting Automation In Marine Insurance
From port of origin to final destination, Zentis AI traces every document, vessel, and cargo variable to power faster and sharper underwriting decisions.
Traditional finance and IT audits are slow, error-prone, and compliance-heavy.
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 orchestrates Agentic audit
workflows for speed, accuracy,
and compliance.
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.
Expected Impact
60–80% faster marine underwriting
Reduced underwriting errors and leakage
Stronger cargo risk accuracy and treaty compliance
Consistent interpretation of trade documents
Higher capacity to handle peak submission periods
