Automated Compliance Detection for Customer Service Agents
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Solution Overview
Problem
Current communication networks lack an efficient method to assess the compliance quality of customer service agents regarding mandated disclosure statements during customer interactions, which is crucial for regulatory, marketing, and corporate compliance.
Innovation Solution
A system and method that involves specifying and storing pre-determined phrases associated with events and precursor events, transcribing and analyzing audible input from communications, and computing a compliance quality score based on the presence of these phrases to determine adherence to guidelines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of agent compliance is used, then compliance quality can be assessed, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual monitoring processes with an automated computer-based system that uses speech recognition technology. The system automatically transcribes agent communications and analyzes them for compliance with mandated disclosure statements, eliminating the need for manual review while maintaining accurate compliance quality assessment.
Solution Approach 2:
The system enables self-service compliance monitoring by automatically analyzing agent communications without requiring human intervention in the assessment process. The automated system independently evaluates compliance quality by detecting required phrases and statements in agent speech, allowing the system to monitor itself without external manual oversight.
2Measurement precision
If comprehensive monitoring of all communication phrases is implemented, then compliance accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the compliance monitoring task by focusing on specific mandated disclosure statements and required phrases rather than analyzing all communication content. The system divides the communication into identifiable segments (disclosure statements, offer statements, transaction statements) and applies targeted detection algorithms to each segment, improving accuracy while managing complexity through selective monitoring.
Solution Approach 2:
The system performs preliminary action by pre-programming the computer with the specific phrases and statements that must be monitored for compliance. Before actual monitoring begins, the system is configured with the required disclosure statements and detection criteria, allowing accurate compliance assessment without complex real-time analysis during communications.
3Productivity
If automated phrase detection is used, then monitoring efficiency improves, but the ability to understand context may be compromised
Solution Approach 1:
The system incorporates feedback mechanisms that allow review of detected compliance status. The automated detection provides initial results, but the system can flag potential false positives or contextual ambiguities for review, ensuring that contextual understanding is maintained while preserving the efficiency benefits of automated monitoring through iterative verification.
Data Source
AI summary
A method of detecting pre-determined phrases to determine compliance quality of an agent includes determining a presence of a predetermined input based on a comparison between stored pre-determined phrases and a received communication, and determining a compliance rating of the agent based on a presence of a pre-determined phrase associated with the predetermined input in the communication.