The insurer faced the following challenges in their underwriting department during meticulous and granular segmentation of risk analysis:
Intelligent data validation to speed up the underwriting process and improve their quote-to-bind ratio.
Marvel.ai, an AI-first, cloud-native business transformation engine, was introduced to streamline the underwriters’ review process across diverse sources, including emails, PDFs, and financial documents.
Leveraging advanced AI, ML, and NLP, Marvel intelligently validates and organizes complex information, transforming extensive documents into structured, actionable insights within minutes. This accelerates analysis, improves accuracy, and empowers underwriters to make faster, more informed decisions.
92-95% accurate high-quality structured data
Automated data-driven insights for accurate and timely pricing
Custom logic for duplicate entry prediction
Historical data reference repository for future reviews
End-to-end data processing automation with seamless integration capabilities
Template less processing for faster data processing
80% elimination of manual efforts
90% reduction in data processing time
Secure data collection and collation for effective predictive analysis
Increased underwriting productivity with speed and precision
Freeing up resources for high-value tasks
Quicker policy issuance, resulting in higher customer satisfaction
Return on investment within months
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