AI Geovalidation of Non-Emergency Call Addresses
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Solution Overview
Problem
Existing systems struggle to accurately validate the location of callers during non-emergency telephone calls, leading to inefficiencies and increased workload for operators, as they must manually verify locations without metadata, and there is a need for automated geovalidation to improve accuracy and efficiency.
Innovation Solution
A system utilizing an artificial intelligence engine with natural language processing and large language model capabilities to extract addresses from calls, populate a custom data schema, compare against databases, generate targeted corrections, and validate locations based on predefined thresholds, providing a confidence level for accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual location verification is performed by operators during non-emergency calls, then location accuracy can be verified, but operator workload increases and processing efficiency decreases
Solution Approach 1:
The system performs automatic location extraction and validation without human intervention. The AI engine autonomously extracts addresses from call transcripts, validates them against geographic databases, and generates validation results, eliminating the need for operators to manually verify locations while maintaining high accuracy through automated geovalidation processes
Solution Approach 2:
The manual mechanical process of operator-based location verification is replaced with an automated AI-powered system. The AI engine uses natural language processing to extract location information and automated geovalidation to verify addresses, substituting human cognitive and manual verification work with computational processes that achieve both high accuracy and efficiency
2Productivity
If automated AI extraction is implemented for addresses from calls, then processing speed increases, but location accuracy may decrease without proper validation
Solution Approach 1:
The system implements a feedback loop where extracted addresses are automatically validated against geographic databases. The AI engine compares extracted location information with known geographic data, receives validation feedback, and can request corrections or confirmations, ensuring high accuracy while maintaining automated fast processing
Solution Approach 2:
The system performs preliminary validation of extracted addresses by comparing them against geographic databases before finalizing the location data. This preliminary check ensures accuracy is maintained while the automated process preserves processing speed, as validation occurs automatically without requiring manual review of each extraction
3Measurement precision
If comprehensive location validation is performed for all calls, then location accuracy improves, but system complexity and processing time increase
Solution Approach 1:
The system applies different levels of validation complexity based on local conditions. For well-known addresses, simple database matching is used, while for ambiguous or new addresses, more comprehensive validation processes are triggered. This localized approach to validation quality maintains high accuracy while avoiding unnecessary complexity for routine cases
Solution Approach 2:
The system performs validation selectively rather than uniformly on all calls. It applies comprehensive geovalidation only when needed based on confidence thresholds and call characteristics, using partial validation for routine cases and reserving full validation for ambiguous situations, thereby maintaining accuracy while reducing overall system complexity
Data Source
AI summary
Systems and methods directed to validating an address extracted from a telephone conversation. An artificial intelligence (AI) engine is operable to utilize natural language processing and large language model (LLM) capabilities to generate and analyze a transcript of the telephone conversation in real-time. The AI engine is operable to extract an address from the telephone conversation, populate a custom data schema, request more information, and compare the extracted address to a database of addresses to ensure the accuracy of the extracted address.