Exploring Adaptive RPA Models for Dynamic Exception Handling in Business Process Automation
Abstract
The success of Robotic Process Automation (RPA) in streamlining business processes is increasingly challenged by exceptions—errors that deviate from expected behavior. Adaptive RPA, enhanced with cognitive capabilities such as reinforcement learning (RL), offers a dynamic approach to handling exceptions in real-time. This paper explores emerging models of adaptive RPA, focusing on the design, application, and benefits of intelligent exception handling in evolving business environments.
Keywords
Document Preview
Details