Adaptive Content Flow for Faster Digital Claim Requests

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Solution Overview

Problem

Existing Software as a Service (SaaS) providers face inefficiencies in claim processing, particularly in insurance claims, due to time-consuming manual procedures and suboptimal use of computational resources, leading to frustration for policy holders and delays for providers.

Innovation Solution

A computing system that optimizes claim processing through artificial intelligence (AI) and machine learning (ML) techniques, including dynamic content generation, engagement monitoring, and guided content capture, to streamline information gathering and automate negotiations, leveraging large language models (LLMs) for efficient communication and data processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual procedures are used for claim processing, then claim processing can be completed with simple systems, but claim processing time is excessive and productivity is low

Engineering Contradiction:

Improveclaim processing speedVSAvoidclaim processing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables self-service through automated content generation, engagement monitoring, and guided content capture. AI agents autonomously process claims by generating relevant content, monitoring user engagement in real-time, and guiding users through information gathering without manual intervention, thereby dramatically reducing claim processing time while maintaining simplicity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical procedures are replaced with AI-based automated systems. Large language models generate content dynamically, machine learning algorithms monitor engagement patterns, and automated agents guide information collection, substituting human manual operations with intelligent automated processes that operate continuously without fatigue or delay.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Use of energy by moving object

If traditional claim processing methods are used, then system complexity is low, but computational resource efficiency is poor

Engineering Contradiction:

Improvecomputational resource efficiencyVSAvoidsystem complexity

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The AI system performs multiple functions through a unified architecture: content generation, engagement monitoring, and guided content capture are integrated into a single platform. This multi-functional approach consolidates computational resources, allowing the system to handle diverse claim processing tasks efficiently without requiring separate specialized systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically adjusts computational parameters based on real-time engagement monitoring. When user engagement is high, the system optimizes resource allocation by reducing redundant computations; when engagement drops, it intensifies targeted interventions. This dynamic parameter adjustment maximizes computational efficiency while adapting to varying system states.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated AI systems are implemented, then claim processing efficiency improves, but system complexity and implementation difficulty increase

Engineering Contradiction:

Improveclaim processing efficiencyVSAvoidsystem implementation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated claim processing system is segmented into three distinct but integrated modules: content generation using large language models, engagement monitoring through machine learning algorithms, and guided content capture via automated agents. This segmentation allows each component to be developed, tested, and deployed independently, reducing implementation complexity while maintaining overall system efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary AI layer that bridges manual processes and automated processing. This intermediary layer handles complex decision-making and coordination between different automated components, absorbing implementation complexity while presenting a simplified interface for claim processing operations. The intermediary manages the sophistication of AI algorithms without exposing their complexity to end users.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260050929A1Facilitating digital requests through an adaptive content flow interface

Publication Date: 2026.02.19 ASSURED INSURANCE TECH INC

AI summary

A computing system can dynamically generate a user interface comprising a content flow for a call representative to advance a claim process with a user, the user interface including a digital request feature that enables the call representative to make digital requests to the user. In response to the call representative making a first digital request to the user using the digital request feature, the computing system can initiate communications with a computing device of the user to facilitate the first digital request.