AI Insurance Proposal Platform for Captive Policy Generation

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Solution Overview

Problem

Traditional insurance platforms are inefficient, siloed, and lack integration with AI, leading to manual processes, human errors, and delayed insights, making it difficult to provide personalized, real-time insurance solutions tailored to client-specific risk profiles.

Innovation Solution

An AI-supported platform that automates insurance operations, integrates with document processing and predictive analytics to generate captive insurance policy proposals, providing real-time risk modeling and dynamic policy adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual processes are used for insurance operations, then human judgment and flexibility are maintained, but analysis time increases from minutes to days and human errors occur

Engineering Contradiction:

Improveelimination of human errorsVSAvoidanalysis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical processes with an automated AI-based system that uses machine learning models and natural language processing to extract data from insurance documents, generate captive insurance policy proposals, and perform risk analysis automatically, eliminating human errors while reducing analysis time from days to minutes

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service functionality where the AI automatically processes insurance documents, extracts relevant data, generates policy proposals, and provides risk analysis without requiring manual human intervention for each task, thereby eliminating human errors while maintaining rapid processing

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If traditional siloed insurance platforms are used, then system simplicity is maintained, but integration with third-party data sources and AI capabilities is lacking

Engineering Contradiction:

Improveintegration capabilityVSAvoidplatform architecture

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal platform that performs multiple functions including document processing, data extraction, risk analysis, policy proposal generation, and integration with third-party data sources through a single integrated AI system, enabling the platform to adapt to various insurance operations and data sources without increasing apparent complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The AI-based platform acts as an intermediary layer that connects and integrates traditional insurance systems with third-party data sources and AI capabilities, allowing seamless data exchange and coordination between previously siloed systems while managing complexity through standardized interfaces

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If brokers perform extensive data entry manually, then data accuracy can be controlled, but operational efficiency decreases and real-time insights are delayed

Engineering Contradiction:

Improveoperational efficiencyVSAvoiddata accuracy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent replaces manual data entry operations with automated optical character recognition (OCR) and natural language processing technologies that extract data directly from insurance documents, dramatically improving operational efficiency while maintaining data accuracy through AI-based validation and error detection mechanisms

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Adaptability or versatility

If static data is used for policy selection, then data management is simple, but the ability to provide personalized real-time solutions is limited

Engineering Contradiction:

Improvepersonalization capabilityVSAvoiddata processing system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transforms static data into dynamic, real-time information by implementing AI-based predictive analytics and machine learning models that continuously process and analyze insurance data, enabling personalized policy recommendations and real-time risk assessment while adapting to changing client needs and market conditions

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260080481A1Ai-supported interactive platforms for generating captive insurance policy proposals based on standard market insurace policy data

Publication Date: 2026.03.19 IMPEL ADVANTAGE INC

AI summary

Artificial intelligence (AI) supported interactive platforms for generating captive insurance policy proposals based on standard market insurance policy data are described. An example system includes one or more processors configured to execute machine-readable instructions to ingest standard market insurance policy documents, extract structured policy data from the standard market insurance policy documents, generate a captive insurance policy proposal based on the structured policy data, implement client engagement features configured to facilitate generation and delivery of an email that includes the captive insurance policy proposal as an attachment thereto, and implement a graphical user interface including a dashboard having one or more dashboard layers, the dashboard including first, second, and third areas respectively configured to enable a user of the system to invoke the ingestion of the standard market insurance policy documents, invoke the generation of the captive insurance policy proposal, and invoke the implementation of the client engagement features.