Agentic Orchestration Control Plane for AI-RPA Coordination
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Solution Overview
Problem
Current AI agents lack effective interoperability with other applications and software functionality, limiting their ability to coordinate with RPA robots and humans-in-the-loop for seamless automation.
Innovation Solution
An orchestration solution via a conductor application that coordinates the execution of AI agents, RPA robots, and agentic orchestration processes (AOPs) in a single control plane, enabling dynamic decision-making 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 intermediary handles protocol translation, data format standardization, and connection management, allowing AI agents to maintain autonomy while achieving effective interoperability with RPA robots, human operators, and other software systems.
2Productivity
If multiple AI agents and RPA robots are coordinated through separate control systems, then each system maintains its own capabilities, but coordination efficiency and automation workflow integration deteriorate
Solution Approach 1:
The patent merges multiple control systems into a unified orchestration platform that manages AI agents, RPA robots, and human operators through a single interface. This consolidated system uses standardized protocols and shared resource pools to coordinate tasks across different automation components, significantly improving coordination efficiency while reducing the complexity of managing multiple separate control architectures.
Solution Approach 2:
The orchestration platform is designed with universal functionality to handle diverse task types (AI processing, RPA execution, human approval) through a common framework. It provides multi-functional capabilities including task routing, resource allocation, monitoring, and error handling that work across all automation components, eliminating the need for separate specialized control systems.
3Reliability
If human intervention is increased to manage AI agent interactions, then system control and oversight improve, but automation efficiency and processing speed decrease
Solution Approach 1:
The patent implements self-service mechanisms where AI agents autonomously manage their own interactions, resource allocation, and error recovery. The system includes self-monitoring capabilities that detect issues and automatically initiate corrective actions without human intervention. This autonomy maintains reliable system control while preserving high automation efficiency, with human operators only involved when exceptional situations require their judgment.
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.