Automated Policy Event Management System for Insurance Brokers
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Solution Overview
Problem
Insurance brokers face challenges in efficiently managing policy-related events and obtaining updated rate quotes for consumers, as existing systems require manual intervention and lack automated response mechanisms.
Innovation Solution
A method and system for policy event management that allows brokers to automatically receive and analyze policy-related events, determining if they meet predefined criteria, and initiate actions such as seeking rate quotes or notifying consumers, without user intervention, using a computer program product that monitors and responds to various policy events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention is used to manage policy events, then flexibility and judgment can be applied, but time consumption and labor effort increase
Solution Approach 1:
The system enables self-service by automatically monitoring policy events, evaluating criteria, and initiating actions without requiring continuous manual intervention. The automated policy event management system receives events from insurance providers, automatically determines if criteria are met, and initiates appropriate actions, thereby reducing time consumption while maintaining operational effectiveness.
Solution Approach 2:
The system performs preliminary actions by pre-defining event criteria and automated response actions before policy events occur. This allows the system to be ready to immediately respond to policy events without manual intervention, reducing response time and labor effort while maintaining the flexibility of pre-planned automated responses.
2Productivity
If automated systems are implemented, then time efficiency improves, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the policy event management process into distinct functional modules: event reception, criteria evaluation, and action initiation. This modular approach allows each component to perform its specific function independently, improving time efficiency while keeping individual module complexity manageable through clear separation of responsibilities.
Solution Approach 2:
The system implements feedback mechanisms where policy events trigger automated evaluations against predefined criteria, and the system responds by initiating appropriate actions. This feedback loop enables efficient automated operation while maintaining manageable complexity through structured decision-making logic that references predefined criteria and expected responses.
3Adaptability or versatility
If manual monitoring of policy events is performed, then adaptability to unique situations is maintained, but labor resources and time are consumed
Solution Approach 1:
The system handles adaptability through parameter changes by allowing flexible configuration of event criteria and response actions. The predefined criteria can be adjusted based on specific policy situations, and the automated system can adapt its response based on the nature of the event, maintaining situational adaptability while eliminating the need for manual labor through programmable responsiveness.
Data Source
AI summary
According to one aspect of the present disclosure, a method and technique for policy event management is disclosed. The method includes: receiving by a broker an electronic communication from an insurance provider of an event related to a policy of a consumer serviced by the insurance provider; responsive to receiving the notice, automatically determining whether the event meets at least one event criteria monitored by the broker; and responsive to determining that the event corresponds to at least one event criteria monitored by the broker, automatically initiating an action related to the event.