Modular Task Orchestration Framework for Automation Integration
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Solution Overview
Problem
Conventional automation products are monolithic, inflexible, and lack modularity, making them difficult to integrate with multiple systems, restrict portability across infrastructures, and limit monitoring capabilities beyond their boundaries, while also not supporting modern development principles or contact center solutions.
Innovation Solution
A framework for automatic orchestration and scheduling of task processing that provides a modular, reusable, and highly transferable solution, enabling real-time monitoring across systems, supporting multiple infrastructures, and integrating with modern application development principles, including machine learning for automated development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional monolithic automation products are used, then automation capability is provided, but integration with multiple systems becomes difficult and device complexity increases
Solution Approach 1:
The patent segments the automation system into independent modular components including task definition modules, workflow orchestration modules, interface adaptation modules, and monitoring modules. Each module can be independently developed, deployed, and integrated with different systems, eliminating the monolithic structure and improving integration capability while reducing overall system complexity.
Solution Approach 2:
The patent creates universal interface adapters and standardized communication protocols that enable a single automation platform to integrate with multiple different systems and applications. These universal components can be configured to work with various legacy and modern systems without requiring custom monolithic solutions for each integration scenario.
2Reliability
If conventional products with tight infrastructure coupling are used, then stable operation is achieved, but portability across different infrastructures is limited
Solution Approach 1:
The patent introduces abstraction layers and intermediary adaptation components between the automation core and underlying infrastructure. These intermediaries provide standardized interfaces that decouple the automation logic from specific infrastructure implementations, allowing the system to maintain operational stability while being deployed across different infrastructures such as cloud, on-premise, or hybrid environments.
3Productivity
If conventional products are used, then automation processing is provided, but monitoring capabilities are restricted within system boundaries
Solution Approach 1:
The patent implements comprehensive feedback mechanisms including event subscriptions, webhook notifications, and real-time status polling that extend monitoring capabilities beyond system boundaries. The modular architecture allows monitoring modules to subscribe to events from external systems and provide feedback to the automation orchestration layer, enabling end-to-end visibility of automated processes across multiple systems and infrastructure boundaries.
4Extent of automation
If conventional monolithic products are deployed, then complete automation functionality is achieved, but deployment becomes heavy and non-modular
Solution Approach 1:
The patent divides the complete automation functionality into separable modular components that can be deployed independently based on specific needs. Organizations can deploy only the necessary modules (e.g., task definition, workflow orchestration, specific integrators) without requiring the entire monolithic product, thereby simplifying deployment while maintaining access to complete automation functionality when needed.
Solution Approach 2:
The patent implements a dynamic module registration and discovery mechanism that allows the automation system to adapt its deployed functionality based on available modules. The system can dynamically load, unload, and configure modules at runtime, enabling flexible deployment scenarios where the automation platform evolves from minimal viable deployments to full-featured implementations as needs arise.
Data Source
AI summary
Various methods, apparatuses/systems, and media for automatic orchestration and scheduling of task processing are disclosed. A receiver receives user input from a user onto a user interface (UI). A processor accesses a database to verify role-based access control parameters corresponding to the user's access right; authenticates and authorizes access to the application based on a positive verification; translates the task processing request displayed on the UI of a user computing device into a corresponding action to be executed for completing the task; automatically schedules the action to be completed based on receiving scheduling data inputted onto the UI of the user computing device; automatically triggers a process to complete the task based on the scheduling data corresponding to the action; and automatically notifies a result of task completion data to the client computing device. The processor provides a command line interface to generate base orchestrator template with required dependencies and core functionality.