JSON Policy System for Automated Insurance Document Integration
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Solution Overview
Problem
The process of obtaining insurance or collateralizing a loan is hindered by the time-consuming nature of the underwriting process, particularly due to the manual scheduling and updating of home inspection reports, which delays the completion of insurance and loan applications.
Innovation Solution
An online system and method that uses a JSON data structure to automatically integrate and manage insurance policy documents by linking uploaded documents to data management policies, triggering events in a diary system to initiate next steps in the underwriting process without human intervention, utilizing a Secure File Transfer Protocol (SFTP) system and AWS services like S3, Lambda, and DynamoDB.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for scheduling home inspections and updating insurance information, then human control and flexibility are maintained, but the underwriting process becomes time-consuming and delays completion
Solution Approach 1:
The system performs preliminary actions by pre-configuring document management policies, event triggers, and notification rules before documents are uploaded. The JSON data structure defines the complete workflow in advance, including which documents to monitor, what events to trigger, and how to notify users, eliminating the need for manual intervention during the actual underwriting process
Solution Approach 2:
The system enables self-service by automatically monitoring uploaded documents, detecting relevant events, triggering appropriate actions, and notifying users without human intervention. The diary system continuously monitors the document repository and autonomously manages the entire document workflow from upload to processing completion
Solution Approach 3:
The patent replaces manual mechanical processes with an automated digital system. Instead of manually scheduling inspections and updating policies, the system uses computer-based document monitoring, automated event detection, and electronic notification systems to manage the entire workflow, substituting human labor with automated computational processes
2Loss of time
If automated document processing is implemented to speed up underwriting, then processing time is reduced, but system complexity increases requiring integration of multiple components
Solution Approach 1:
The system merges multiple separate functions into a unified automated document management system. The JSON data structure combines document policies, event triggers, notification rules, and workflow definitions into a single configurable framework, integrating document repository monitoring, event detection, action triggering, and user notification into one cohesive system that processes documents end-to-end automatically
Solution Approach 2:
The diary system provides universal functionality by handling multiple document types, event types, and notification methods through a single automated platform. The system can monitor various document uploads, detect different event conditions, trigger appropriate actions, and notify multiple users simultaneously, making the system adaptable to diverse underwriting scenarios without requiring separate manual processes for each case
Data Source
AI summary
A technique for integrating documents and data into a policy management system issues an event trigger from a memory system upon receipt of documents and data related to an insurance policy. An SFTP system runs software for identifying documents and data required for the insurance policy and designating access rights to the same by users and vendors and for specifying actions to be performed upon receipt of the identified documents and data. The event trigger causes the SFTP system to perform the specified actions associated with the received document or data and to push the uploaded documents and/or the results from performance of the specified actions to the users and/or vendors having access rights to the uploaded documents and/or results. The insurance policy is represented in a JSON data structure that defines the document and data management policies and an order of process tasks required for the insurance policy.