AI Subrogation via Mesh Blockchain for Auto Claims
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Solution Overview
Problem
Current insurance claim processing for vehicular events is complex, time-consuming, and lacks digital traceability, leading to decreased customer satisfaction and increased fraud risks due to inadequate information.
Innovation Solution
An intelligent AI system using a mesh network and blockchain technology to automate claim preemptive subrogation by detecting vehicular events, collecting data, and determining fault, thereby reducing the need for manual adjusters and enhancing transparency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual claim processing is used, then human adjusters can handle complex cases, but processing time increases and fraud risks increase
Solution Approach 1:
The system performs preliminary data collection and analysis automatically at the scene of the vehicular event using mesh networks and sensors. Evidence is captured and stored on blockchain before human adjusters are involved, enabling faster subsequent processing while maintaining fraud detection capabilities through preliminary automated analysis of the collected data
Solution Approach 2:
An intelligent agent acts as an intermediary between the vehicular event and human adjusters. The agent collects data via mesh networks, stores it on blockchain for immutability, and performs initial analysis, thereby reducing fraud risks through transparent tracking while allowing human adjusters to focus on complex decision-making without time-consuming manual data collection
2Measurement precision
If more adjusters are hired to improve service quality, then claim processing accuracy improves, but processing costs increase
Solution Approach 1:
The system enables self-service claim processing through automated data collection by mesh networks at the event scene, intelligent agent analysis of collected data, and blockchain-based automated subrogation decisions. This reduces the need for human adjusters in routine cases, lowering processing costs while maintaining accuracy through automated evidence capture and analysis
Solution Approach 2:
Comprehensive data collection and preliminary analysis are performed automatically before human review is needed. The intelligent agent pre-processes claim information, validates evidence, and prepares subrogation recommendations, thereby improving accuracy while reducing the time and cost of human intervention to only when necessary
3Reliability
If comprehensive data collection is performed, then fraud detection capability improves, but system complexity increases
Solution Approach 1:
The system segments data collection into multiple independent mesh network nodes (sensors, cameras, devices) that operate autonomously. Each node collects specific types of data independently, and the intelligent agent aggregates and analyzes this segmented data. This modular approach enables comprehensive data collection for fraud detection while managing system complexity through distributed, independent components
Solution Approach 2:
The intelligent agent serves as an intermediary that manages the complexity of comprehensive data collection. It coordinates mesh network devices, processes data from multiple sources, and presents synthesized information for fraud detection. This intermediary layer simplifies the system architecture by centralizing data processing logic while maintaining the distributed nature of data collection
Data Source
AI summary
An approach is provided for automatically performing claim preemptive subrogation. An intelligent agent in an artificial intelligence system is activated. An occurrence of a vehicular event is detected. Using the intelligent agent, a mesh network of devices positioned within an environment surrounding the vehicular event is established. Property, event, and environmental data describing the vehicular event is collected and stored in a blockchain node. A smart contract is established on the blockchain node. The smart contract provides authorized parties with an access to the stored property, event, and environmental data. Based on the stored property, event, and environmental data and rule(s), a preemptive subrogation is performed by determining a cause of the vehicular event.