Enabling UiPath Maestro for Agentic Automation: Orchestrating Bots, Ai Agents, and Human Users
DOI:
https://doi.org/10.47363/pnc3n617Keywords:
RPA, AI, Agentic Automation, LLMs, MaestroAbstract
With UiPath Maestro, agentic automation can optimize complex, unstructured processes that traditional rule-based automation couldn’t address. While conventional automation has been adept at handling structured and repetitive tasks, agentic automation can handle complex decision-making processes that can adapt in real time. This research paper mentions the UiPath Maestro Platform, its features, and how they can be used. These features include process modelling, process implementation, process operations, process monitoring, and process optimization. Also, this paper mentions AI agents and how they help address the challenges faced by traditional RPA robots. By unifying agentic AI, automation, BPM (Business Process Management), and process intelligence, UiPath Maestro gives organizations total control to design, run, and optimize new agentic processes. Using Maestro, users can create processes with standard BPMN constructs, like tasks, gateways, and events, or leverage Autopilot to accelerate model creation. Maestro enables effortless agent adoption, seamless process performance, and simplified process management. Business users can drag and drop BPMN components in the canvas while the developers can later plug RPA workflows. Using process dashboards, business users can view the real-time status of ongoing processes, identify bottlenecks or delays, and reassign failed tasks. As business users can document requirements, policies, and business rules within the process model, the back-and-forth between business and developers can be reduced.
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Copyright (c) 2022 Journal of Artificial Intelligence & Cloud Computing

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