Agentic RPA: Enabling self-driven decision-making workflows in enterprise automation

Kapula, Karthik (2025) Agentic RPA: Enabling self-driven decision-making workflows in enterprise automation. Global Journal of Engineering and Technology Advances, 23 (3). 072-081. ISSN 2582-5003

Modern enterprise environments have become increasingly dynamic, requiring automation tools that move beyond the fixed workflows of traditional Robotic Process Automation (RPA). This study introduces the concept of Agentic RPA an advanced automation framework that redefines conventional bots as intelligent, autonomous agents capable of making real-time decisions based on goals and context. Drawing from agent-based programming principles and cognitive system design, Agentic RPA incorporates technologies such as decision logic engines, real-time data interpretation, and large language models to support adaptive and context-aware automation. Centered on the UiPath ecosystem, the paper outlines a modular structure that integrates AI components with event-driven workflows and optional human oversight. Practical applications across ERP, CRM, and HRIS platforms demonstrate measurable benefits, including reduced process cycle times and significantly fewer manual interventions. These results highlight Agentic RPA’s value in enhancing operational agility and resilience, offering a forward-looking path for enterprises seeking scalable, intelligent automation that aligns with evolving business needs.