Voice-Driven Compliance Reporting for Multi-Country Statutory Filing
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Solution Overview
Problem
Generating compliance reports across multiple countries with varying legal requirements is a time-intensive process due to manual navigation and input in compliance reporting applications, involving multiple screens and formats like XML, PDF, TXT, JSON, CSV, and XBRL.
Innovation Solution
A system utilizing a natural language processing model to process audible commands, generating instructions for compliance reporting applications to automate report generation, scheduling, and submission, reducing manual effort through entity recognition and integration with digital assistants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual navigation through multiple screens and steps is used to generate compliance reports, then the process allows for detailed control and customization of each report, but the time required to generate reports increases significantly
Solution Approach 1:
The system pre-configures report templates, data sources, and processing rules before report generation is needed. Users can set up multiple report templates with predefined parameters, data mappings, and processing logic in advance, allowing rapid generation when needed without manual navigation through multiple screens during actual report creation.
Solution Approach 2:
The system creates and stores templates of commonly used compliance reports that can be copied and reused across different jurisdictions and time periods. Once a report template is configured for one country or report type, it can be replicated and adapted for other uses, eliminating the need to manually recreate similar reports from scratch.
2Adaptability or versatility
If multiple manual steps and screens are required for report generation, then the system maintains flexibility for complex customizations, but the complexity of the operation increases
Solution Approach 1:
The report generation process is divided into separate, modular components including data extraction modules, transformation modules, validation modules, and output generation modules. Each module handles a specific aspect of report creation and can be independently configured, allowing complex customizations through composition of simpler modules rather than navigating through complex monolithic screens.
Solution Approach 2:
The system implements a universal report template framework that can accommodate multiple report types, formats, and jurisdictions through a single configurable interface. The same template system handles different compliance report requirements by adjusting parameters rather than requiring separate manual processes for each report type.
3Productivity
If automated processing is implemented to reduce manual effort, then report generation time decreases, but the system complexity increases
Solution Approach 1:
The system introduces an intermediary layer consisting of pre-configured templates, data mapping rules, and processing scripts that translate between raw data sources and required report formats. This intermediary layer automates the transformation process without requiring complex real-time processing logic, reducing system complexity while maintaining high productivity.
Solution Approach 2:
The system achieves automation through parameter-based configuration rather than hard-coded logic. By allowing users to define reports through parameter settings in templates (data sources, formats, transformations, output destinations), the system automates complex processing without requiring complex system architecture. The same infrastructure handles simple and complex reports by adjusting parameters.
Data Source
AI summary
Embodiments describe a technique for simplifying statutory reporting. A technique is described for recognizing entities in an audible command received from a business user. The audible command may be processed through a trained natural language model capable of generating entities from the audible command. The entities in turn may be used to generate instructions to be executed by a compliance reporting application. This technique may improve efficiencies by reducing amount of time the business user spends manually entering commands into the compliance reporting application.