Expense Verification System for Travel Reimbursement Accuracy
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Solution Overview
Problem
The reimbursement of travel expenses is often inaccurate due to errors and fraud, particularly in large corporations, where complex airline reservation processes and varying company policies create challenges in detecting compliance and unauthorized claims.
Innovation Solution
A computer-implemented method using an Expense Verification System (EVS) that stores company travel policies, parses travel reservation data, and queries external systems to verify compliance, issuing alerts for non-compliant requests, thereby ensuring accurate reimbursement by comparing employee-submitted data with reliable clearinghouse transaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification of travel expenses is used, then ease of operation is maintained, but reliability and measurement precision deteriorate due to errors and fraud
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between employees submitting expense reports and the final reimbursement process. This system automatically queries external sources (airline databases, credit card statements) to verify the authenticity and compliance of travel expenses, thereby improving reliability without requiring manual verification of each expense item.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated electronic systems. Instead of manual checking of receipts and itineraries, the system uses computer-based queries to external databases and automated parsing of electronic documents, significantly improving verification accuracy while reducing the operational burden on employees and administrators.
2Reliability
If automated verification systems are implemented, then reliability improves, but device complexity increases
Solution Approach 1:
The verification system is designed with multi-functionality to handle various verification tasks through a single integrated platform. It can query different external sources (airline databases, credit card systems), parse various document formats (receipts, itineraries), and enforce multiple types of company policies simultaneously, thereby improving reliability across multiple verification dimensions without proportionally increasing complexity.
Solution Approach 2:
The system incorporates feedback mechanisms where verification results are automatically fed back into the reimbursement process. When discrepancies are detected (such as non-compliant fares or unauthorized travel), the system provides automatic feedback to reject or flag the expense report, creating a closed-loop verification system that improves reliability through continuous monitoring and automatic correction.
3Reliability
If comprehensive policy enforcement is applied, then reliability improves, but ease of operation deteriorates for employees
Solution Approach 1:
The system enables self-service verification where employees can submit expense reports through automated electronic forms that automatically pull data from their travel confirmations and credit card statements. The system performs self-verification against company policies without requiring employee intervention, thereby maintaining ease of operation while enforcing comprehensive policy compliance through automated rule-based validation.
Data Source
AI summary
An Expense Verification System (EVS) checks for fraud/errors in reimbursement requests. The EVS stores rules for reimbursement in accordance with company policies. The EVS receives travel reservation records for auditing, parses the records to identify a reference number, and then obtains from a trusted source travel record data for a corresponding reference number. Trusted data is compared to company policy-specific rules to determine compliance. In one embodiment, an extracted fare basis identifier is compared to lists of permitted and/or prohibited fare basis codes in the rules to determine compliance. In another embodiment, data is extracted from acknowledgment receipt records from a trusted data source and extracted booking and travel dates are compared to the rules to determine compliance. The EVS issues an alert in the event of non-compliance.