Uipath Inc.

Taqi Jaffri

Venkata Syam Prakash Rapaka

Victor Vlasceanu

Mark Geene

Zach Eslami

Silviu Georgescu

Graham Andrew Michael Sheldon

Andrei Neculaesei

Raghu Malpani

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.

Agentic orchestration

Unified solutions for agentic automation and robotic process automation (RPA) with self-healing and capabilities to increase autonomy are disclosed. AI agents 'coexist' in tandem with RPA robots that execute RPA automations. The AI agents can dynamically leverage the tools available via these RPA robots to perform document processing, user interface (UI) automation, semantic copy-and-paste between a source and a target, etc. AI agents can dynamically select these tools and execute them in the form of a pipeline.

Unified agentic automation and robotic process automation with self-healing and capabilities to increase autonomy

Unified artificial intelligence (AI) agent, robotic process automation (RPA) robot, and agentic orchestration process (AOP) development applications are disclosed. In such embodiments, AI agents 'coexist' in tandem with RPA robots that execute RPA automations. Automation developers can provide a natural language description of a process intended to be implemented by an AI agent, as well as prompts for a user. Developers can also select grounding context, service integration tools, RPA robots, and escalation attributes for the AI agent. When executed, the AI agent will implement a dynamic flow and attempt to perform its logic autonomously. If this is not successful, the AI agent can escalate to a human-in-the-loop, and the human resolution may be saved in memory for self-healing purposes. Developers can also develop AOPs that can utilize AI agents and RPA robots via a conductor application as well.

Unified artificial intelligence agent, robotic process automation robot, and agentic orchestration process development applications

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New York, NY, United States of America

Taqi Jaffri