AI Dispute Resolution via Voice Input
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Solution Overview
Problem
Traditional automated dispute resolution systems using decision tree structures require multiple user inputs, are time-consuming, and intolerant of informational faults, leading to inefficient dispute processing and high resource usage.
Innovation Solution
A system that receives a dispute initiation request via voice input, determines user intent through natural language processing, and uses a business rules set to provide a dispositioned outcome with minimal user inputs, reducing the need for redundant requests and system resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional decision tree structures are used for automated dispute resolution, then the system can guide users through structured problem definition, but the process becomes time-consuming and requires multiple user inputs
Solution Approach 1:
The patent replaces the mechanical decision tree structure with an AI-based natural language processing system. Instead of forcing users to navigate predefined branching paths and select from answer choices at each level, the AI directly analyzes user-provided natural language descriptions to determine problem statements, eliminating the need for multiple sequential user inputs while maintaining accurate problem definition.
2Loss of information
If traditional decision tree methods require multiple user inputs to define a problem, then the system can gather comprehensive information, but the process demands high resource usage and may lead to abandoned dispute cases
Solution Approach 1:
The patent substitutes the multi-input decision tree mechanism with an AI natural language processing system that can extract comprehensive problem information from a single user description. The AI analyzes the natural language input to identify key elements, determine the appropriate problem statement, and guide the dispute resolution process, thereby maintaining information completeness while dramatically improving efficiency and reducing abandoned cases.
3Manufacturing precision
If traditional decision tree structures are used, then the system can systematically narrow down inquiries to particular problem statements, but the system becomes intolerant of informational faults and requires users to reset to the highest level
Solution Approach 1:
The patent replaces the rigid decision tree structure with an AI-based natural language processing system that can interpret and accommodate various forms of user input. The AI analyzes the intent behind user descriptions, handles informational faults gracefully by seeking clarification rather than forcing resets, and maintains accurate problem statement determination even when initial inputs are imperfect or ambiguous.
Data Source
AI summary
A system for artificial intelligent dispute resolution is disclosed. The system may receive a dispute initiation request from a voice input channel. The system may determine user authentication state in response to the dispute initiation request. The system may receive a natural language problem statement from the voice input channel. The system may determine a user intent in response to the natural language problem statement. The system may compare the user intent with a business rules set and determine a dispositioned outcome based on the business rules set and the user intent.