Purpose-built AI models to identify and prioritize accounts for the best-fit bind potential. Highest data quality and coverage through the largest insurance data platform for underwriting across business lines.
The numbers presented represent the benefits that our customers have experienced, your results may differ.
Magic Submission ingests submitted documents in various formats and methods streamlining ingestion and improving efficiency by handling a wide variety of inputs.
AI models extract data from structured, semistructured, and unstructured documents, ensuring all relevant information is accurately captured.
At this step, each submission and its data elements are verified through confidence checks, with exception handling and knockouts performed based on global clearance rules.
The enriched data is routed by on tenant-specific rules and criteria, such as use case, risk type, and underwriter authority. It is directed to the appropriate downstream systems, API, or underwriting workbenches
Documents are automatically classified and accurately sorted based on their content and predefined criteria or preferences, ensuring they efficiently processed.
Data is normalized to ensure consistency and meet tenant-specific requirements. This process standardizes data based on pre-defined nomenclature, providing tenants with contextual, relevant and uniform data.
Data is normalized to ensure consistency and meet tenant-specific requirements. This process standardizes data based on pre-defined nomenclature, providing tenants with contextual, relevant and uniform data.
All types – Excel, ACORD, Custom, PDF, Email
60% reduction in Enrich on search/aggregate of risk & exposure information
85% reduction in triage time (hours/days to seconds/ minutes)
27% improved data quality of submissions
99.5% consistency in interpretations of free text
99.3% accuracy in data extraction and validation
800+ additional risk insights
Advantages observed in the core underwriting process of commercial insurance companies
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