UiPath
Stand IT 95
Stand IT 95
UiPath Agentic Automation is an advanced form of automation that uses AI-powered software agents, large language models (LLMs), and other AI to autonomously make decisions, adapt to changes, and take action across complex, dynamic, and goal-oriented processes. It moves beyond traditional robotic process automation (RPA) by allowing "agents" to perceive their environment, learn, and adjust their actions in real-time, orchestrating human, robot, and AI agent capabilities to achieve desired business outcomes with increased efficiency and less human intervention.
Key Aspects
Autonomous Decision-Making
Unlike rigid, rule-based RPA, agentic automation enables software "agents" to independently analyze situations and make informed decisions.
AI-Powered
These agents leverage advanced AI technologies like large language models (LLMs) and generative AI (GenAI) to understand context, process information, and interact with users and systems.
Adaptability
Agents can learn from their environment and dynamically adjust their actions, making them well-suited for complex tasks and evolving business needs.
Orchestration
It integrates traditional RPA with agentic AI and human input, creating a unified ecosystem where people, robots, and AI agents collaborate to optimize workflows.
Goal-Oriented
Agentic automation is focused on achieving specific goals, allowing agents to determine the best path to reach those objectives, rather than just following a fixed sequence of steps.
