Automated Quality Assurance Tool for Communication Compliance
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Solution Overview
Problem
Existing quality assurance systems for outgoing communications, such as email campaigns, are time-intensive and prone to human errors, leading to potential regulatory violations and brand reputation damage due to the lack of automated checks for compliance with rules and regulations.
Innovation Solution
An automated quality assurance tool that allows non-technical users to detect and prevent errors in outgoing communications by applying configurable rules, including visual and AI-based checks, integrated with cloud services like Salesforce, to ensure compliance and accuracy before sending communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual checklist checks are used for quality assurance, then compliance with rules and regulations can be verified, but the process becomes time-intensive and prone to human errors
Solution Approach 1:
The patent replaces manual mechanical checklist verification with an automated computer-based system that uses optical character recognition (OCR), machine learning, and rule-based engines to extract, analyze, and verify compliance of communication content, thereby eliminating human error and significantly reducing QA process time
Solution Approach 2:
The system enables self-service quality assurance by automatically performing compliance checks without requiring manual human intervention. The automated platform independently executes the entire QA workflow including content extraction, rule application, and compliance determination, freeing users from time-consuming manual verification tasks
2Reliability
If multiple checklists are used for comprehensive quality assurance, then coverage of compliance requirements improves, but the complexity of the QA process increases
Solution Approach 1:
The patent implements a universal quality assurance platform that consolidates multiple compliance checklists into a single integrated system. The platform can apply different compliance rules and regulations through a unified interface, eliminating the need for separate manual checklist processes and reducing overall system complexity
Solution Approach 2:
The system segments the complex QA process into distinct automated modules including content extraction, rule-based validation, machine learning analysis, and compliance reporting. This modular architecture manages complexity by breaking down the comprehensive compliance check into manageable, automated components that work together seamlessly
3Productivity
If automated quality assurance tools are implemented, then processing speed and accuracy improve, but the initial system complexity and setup requirements increase
Solution Approach 1:
The patent introduces an intermediary automated platform that acts as a bridge between users and complex compliance verification processes. This intermediary system handles the complexity of integrating multiple compliance rules, OCR processing, and machine learning models, while presenting a simplified interface to users and delivering high-speed automated QA results
Data Source
AI summary
A quality assurance (QA) system for automatically performing a quality assurance check on digital communication is configured to: receive a digital communication from an executing application on an external computing device; retrieve a predetermined set of rules applicable to the digital communication; and perform a QA check on the digital communication by determining whether the digital communication complies with each rule in the predetermined set of rules. The set of predetermined rules includes non-visual (e.g., textual and user-selected form fields) rules and vision-based rules. The non-visual rules include a rule requiring the inclusion of specific text or a rule requiring the exclusion of specific text. The visual-based rules include a rule identifying a specific graphical item to be included in or excluded from the digital communication. The QA system is further configured to generate a GUI that provides a visual indication of each rule not met.