Automated Voice Response ACH Transfer System
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Solution Overview
Problem
Current methods for making Automated Clearing House (ACH) transfers are not efficient and cost-effective for consumers and businesses who are not comfortable using computers, as they require customer care representatives for phone-based transactions.
Innovation Solution
A system using an interactive voice response unit with speech recognition software that confirms ACH transfers over the phone, recording customer interactions as sound files for verification and storage, ensuring compliance with NACHA regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an automated voice response system with speech recognition is used for ACH transfers, then operational efficiency and cost-effectiveness improve, but system complexity increases
Solution Approach 1:
The system enables customers to independently complete ACH transfers through automated voice interaction without requiring customer care representatives. The speech recognition software processes customer requests autonomously, collecting account information, transfer amounts, and routing details while maintaining NACHA compliance through automated confirmation protocols.
Solution Approach 2:
The patent replaces the mechanical interaction of manual phone interviews with customer care representatives with an automated electronic system. Speech recognition software converts verbal customer input into structured data, automatically processing ACH transfer requests through electronic clearing house interfaces, thereby eliminating the need for human intermediaries in routine transactions.
2Ease of operation
If speech recognition software is used to confirm ACH transfers, then ease of operation improves, but reliability requirements increase
Solution Approach 1:
The system implements a confirmation protocol where the automated voice response system reads back the complete ACH transfer details to the customer, including account information, transfer amount, and routing details. The customer must verbally confirm each parameter, creating a feedback loop that ensures accuracy while maintaining ease of operation through natural speech interaction.
Solution Approach 2:
The system collects and validates all necessary ACH transfer information before processing the transaction. Account verification, routing number validation, and transfer amount confirmation are performed in advance, ensuring that only verified and compliant transactions are submitted to the clearing house, thereby maintaining high reliability standards.
3Reliability
If sound files of customer interactions are recorded and stored, then compliance verification improves, but data storage requirements increase
Solution Approach 1:
The system extracts and stores only the essential elements of customer interactions for compliance verification. Rather than archiving complete audio recordings indefinitely, the system captures confirmed transfer parameters, customer authorization statements, and verification timestamps in structured formats that satisfy NACHA record-keeping requirements while minimizing storage requirements.
Data Source
AI summary
Embodiments of the invention described a method for processing an ACH transfer in compliance with NACHA regulations. The method comprises receiving a request, through a phone call from a customer, to initiate an ACH transfer, the request including at least an account identifier and a payment amount. The method confirms the ACH transfer using speech recognition software and an interactive voice response unit, wherein the customer's identity, the date of transfer, the account identifier, the payment amount, a contact phone number, and the date of the confirmation, are confirmed by the customer using a verbal response recognized by the speech recognition software. This method also includes, recording, using a recording server, the verbal response of the customer in a sound file, tagging the sound file with at least the field of an account identifier, and storing the sound file for at least two years in a data repository.