Universal Computing Elements for Scalable Workflow Automation
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Solution Overview
Problem
Existing software and business process development paradigms are often rigid, siloed, and difficult to scale, with hardcoded configuration values that make changes slow and expensive, and struggle with real-time data processing and concurrency.
Innovation Solution
The implementation of universal computing elements (UCEs) that comprise an object queue, counters, and functions operating on object parameters, enabling multi-system connectivity and automation through state machines that can transition objects between nodes and handle complex processes with real-time data processing and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing software systems use hardcoded configuration values and traditional development paradigms, then system stability is maintained, but adaptability and speed of change are reduced
Solution Approach 1:
The system segments business processes into discrete, modular nodes that can be independently configured and connected. Each node represents a specific process step with its own parameters, allowing individual modifications without affecting the entire system. This modular segmentation enables rapid adaptation while managing complexity through organization.
Solution Approach 2:
The system transitions from static hardcoded configurations to dynamic, runtime-configurable parameters. Configuration values are no longer fixed at compile time but can be adjusted during execution through the visual editor and parameter interface, allowing the system to adapt to changing business requirements without code changes.
2Speed
If existing systems operate as batch-based processes, then system simplicity is maintained, but responsiveness to real-time data is reduced
Solution Approach 1:
The system implements continuous event-driven processing where data flows through nodes in real-time rather than in batch cycles. Events trigger immediate processing actions as they occur, maintaining continuous useful action on incoming data streams. This enables real-time responsiveness while the event-driven architecture manages complexity through clear cause-effect relationships.
3Ease of operation
If existing software systems are developed with traditional coding approaches, then development flexibility is maintained, but ease of interaction for non-coders is reduced
Solution Approach 1:
The visual editor serves as an intermediary layer between users and the underlying complex system architecture. Instead of requiring direct programming knowledge, users interact with a graphical interface that translates their visual configurations into executable process flows. This mediator enables ease of operation while preserving full automation capability through the generated code.
Solution Approach 2:
The system provides templates and reusable node patterns that can be copied and customized. Users can start with pre-defined process templates and modify them as needed, rather than creating processes from scratch. This copying mechanism simplifies the learning curve and enhances ease of operation while maintaining automation through the copied structural frameworks.
4Adaptability or versatility
If existing systems lack multi-system connectivity, then system simplicity is maintained, but versatility and integration capability are reduced
Solution Approach 1:
The system employs universal connection interfaces and standardized data formats that enable nodes to communicate across different systems and platforms. Each node can be configured to interface with various external systems through unified connection mechanisms, providing multi-system connectivity without requiring separate integration architectures for each system type.
Data Source
AI summary
Disclosed herein are systems and methods for multi-system connectivity and automation via universal computing elements. Universal computing elements may comprise an object queue, one or more counters, and a function operating on parameters of objects in the object queue. Universal computing elements may be interconnected into processes of arbitrary complexity. Universal computing elements may facilitate modular and scalable business process development, including application programming interface and database connectivity. The processes may be stored in a repository accessible to multiple entities, and may be modified prior to being integrated into a process flow of at least one of the entities.