Active DLP Engine for Unified Workflow State Management
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Solution Overview
Problem
Existing systems for complex multi-step workflow journeys, such as electronic lending, are inefficient and redundant due to the inability to integrate disparate operations, components, and systems, leading to operational redundancies, high latency, inconsistent user experiences, and high maintenance costs, and lack the infrastructure for real-time state management and data loss prevention.
Innovation Solution
A unified platform comprising integrated frameworks for authentication, dynamic user interface, workflow state management, active data loss prevention, and orchestration, along with a micro-service architecture, to seamlessly manage and orchestrate complex multi-step workflows across diverse systems and communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple independent solutions and systems are implemented for complex multi-step workflow journeys, then each specialized processing operation can be performed with its own protocols and standards, but operational redundancies occur, processing becomes disjointed and inefficient, and latency increases
Solution Approach 1:
The patent merges multiple independent workflow management systems into a single unified workflow engine that can handle diverse workflow types (electronic lending, supply chain finance, trade finance, etc.) through a common architecture. This consolidation eliminates operational redundancies and enables seamless integration while maintaining specialized processing capabilities through configurable workflow definitions.
Solution Approach 2:
The unified workflow engine is designed with universal functionality to manage multiple types of complex workflows across different financial products and processes. It provides a single platform that can adapt to various protocols, standards, and processing requirements through configuration rather than requiring separate specialized systems.
2Reliability
If multiple independent systems operate separately with their own protocols and programming languages, then each system can be optimized for its specific function, but integration and coordination between systems become difficult and costly
Solution Approach 1:
The unified workflow engine acts as an intermediary layer between different systems, components, and data sources. It provides a standardized interface and communication protocol that enables integration without requiring changes to underlying specialized systems, thereby reducing integration complexity while maintaining system optimization.
Solution Approach 2:
The system architecture is segmented into modular components including the unified workflow engine, specialized processing modules, and integration adapters. This segmentation allows each component to be optimized independently while the overall system benefits from reduced integration complexity through standardized interfaces.
3Adaptability or versatility
If manual coordination of output between systems is required, then flexibility in handling different workflow scenarios is maintained, but operating and maintenance costs increase and updates require continual attention
Solution Approach 1:
The unified workflow engine provides self-service automation that eliminates the need for manual coordination between systems. It automatically manages workflow orchestration, data exchange, and output coordination through configurable rules and processes, thereby reducing maintenance costs while maintaining flexibility through programmable workflow definitions.
Solution Approach 2:
The system uses parameter-based configuration to maintain flexibility without manual intervention. Workflow behaviors, protocols, and processing rules are defined through configurable parameters that can be adjusted to handle different scenarios without requiring system redesign or manual coordination.
4Reliability
If real-time data monitoring and state management are implemented across distributed systems, then data loss can be prevented and workflow consistency maintained, but system complexity and resource requirements increase
Solution Approach 1:
The system implements feedback mechanisms through the unified workflow engine that continuously monitor workflow state and data integrity across distributed systems. This enables real-time detection and prevention of data loss while maintaining consistency without requiring complex manual state management through automated state tracking and validation.
Data Source
AI summary
A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.