📄 中文摘要
智能体RPA（Agentic RPA）利用AI智能体自动化复杂的业务流程，其核心在于结合了推理、学习和自主决策能力。传统RPA机器人通常遵循预设规则执行重复性任务，缺乏适应性和理解复杂情境的能力。AI智能体通过感知环境、理解意图、规划行动并从经验中学习，能够处理非结构化数据、应对异常情况，并动态调整工作流程。这种范式转变使得自动化系统不再局限于简单的任务执行，而是能够像人类一样进行认知和判断，从而实现更高级别的自动化，显著提升运营效率和业务弹性。AI智能体能够自主识别并解决问题，优化资源分配，并持续改进其自动化策略，预示着企业自动化进入一个更智能、更自主的新阶段。
📄 English Summary
What Is Agentic RPA? And How Do AI Agents Replace Traditional Bots?
Agentic RPA leverages AI agents to automate intricate business workflows, fundamentally integrating reasoning, learning, and autonomous decision-making capabilities. Traditional Robotic Process Automation (RPA) bots typically operate based on predefined rules, executing repetitive tasks without the adaptability or contextual understanding required for complex scenarios. In contrast, AI agents perceive their environment, comprehend intentions, formulate action plans, and learn from experience. This enables them to process unstructured data, manage exceptions, and dynamically adjust their operational flows. This paradigm shift moves automation beyond mere task execution, allowing systems to perform cognitive functions and make judgments akin to human intelligence. Consequently, Agentic RPA achieves higher levels of automation, significantly boosting operational efficiency and business resilience. AI agents autonomously identify and resolve issues, optimize resource allocation, and continuously refine their automation strategies. This evolution heralds a new era of enterprise automation characterized by enhanced intelligence and autonomy, transforming how organizations approach process optimization and digital transformation initiatives. The ability of these agents to adapt and evolve makes them a powerful tool for navigating dynamic business environments and unlocking new levels of productivity.