Agentic Orchestration with Unified Control for AI and RPA
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Solution Overview
Problem
Current AI agents lack effective interoperability with other applications and software functionality, leading to independent operation and limited automation capabilities.
Innovation Solution
An orchestration solution is provided through a conductor application that coordinates the execution of AI agents, RPA robots, and agentic orchestration processes (AOPs) in a single control plane, enabling unified automation and self-healing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI agents operate as independent software applications, then they maintain autonomy and decision-making capabilities, but they lack effective interoperability with other applications and software functionality
Solution Approach 1:
The patent introduces an intermediary layer (API gateway, message queue, or integration platform) that enables AI agents to communicate with other applications without compromising their independence. This mediator handles protocol translation, data formatting, and connection management, allowing AI agents to maintain autonomy while achieving effective interoperability with RPA robots, databases, and other software systems.
2Productivity
If multiple AI agents and RPA robots are coordinated through separate control planes, then each component maintains independence, but coordination efficiency and automation flow deteriorate
Solution Approach 1:
The patent merges multiple control planes into a unified control plane that orchestrates AI agents, RPA robots, and other automation components in a single coordinated system. This unified control plane implements centralized task management, resource allocation, and workflow orchestration, significantly improving coordination efficiency while providing a single point of control for the entire automation ecosystem.
Solution Approach 2:
The unified control plane is designed with universal functionality to manage diverse automation components (AI agents, RPA robots, human operators) through a common interface and standardized protocols. It can simultaneously handle multiple types of tasks, allocate resources dynamically, and coordinate complex workflows involving different automation technologies, making the system highly versatile and efficient.
3Reliability
If human intervention is increased to manage AI agent coordination, then control and oversight improve, but automation efficiency and processor utilization deteriorate
Solution Approach 1:
The patent implements self-service mechanisms where the unified control plane autonomously manages AI agent coordination, task allocation, and resource management without requiring continuous human intervention. The system includes automated monitoring, self-healing capabilities, and dynamic resource allocation algorithms that enable the automation system to self-regulate and maintain reliability while maximizing efficiency. Human operators are only involved when exceptional situations arise.
Data Source
AI summary
Orchestration solutions for agentic automation for artificial intelligence (AI) agents, robotic process automation (RPA) robots, agentic orchestration processes (AOPs), and humans-in-the-loop with self-healing and capabilities to increase autonomy. Agentic orchestration, via a conductor application, enables the automation, modeling, and monitoring of complex business processes from start to finish. A user or an initiating software process requests that a given AOP be run. The AOP defines a business process (e.g., in Business Process Model and Notation (BPMN)), and may utilize one or more RPA robots, one or more AI agents, and/or one or more humans to assist with accomplishing this process, such as resolving invoice discrepancies, onboarding an employee, performing compliance checks, synchronizing order data among multiple backend systems, etc.