Abstract: Arrangements for resource optimization and control are provided. In some aspects, one or more work process requests may be received. The work process requests may be aggregated to identify a current book of work. In some examples, availability data from a variety of sources, such as bots, resource operators, and the like, may be received. In some aspects, license data associated with the one or more bot resources may be retrieved. A machine learning engine may be executed to determine an optimal number of resources, type of resources, and the like, to process the book of work. Based on the determination, one or more instructions may be generated. For instance, instructions to provision one or more bots may be generated, instructions assigning work processes to one or more resource operators may be generated, and the like. The generated instructions may be transmitted to a resource for execution.

Abstract: Embodiments of the present disclosure provide a system for continuous and real-time management and monitoring of robotic process automation bots. In particular, the architecture of the system may comprise a centralized hub which provides various features and functions for bot management and monitoring, such as real-time health status updates, granular logging and notification functions, failure detection and reporting for debugging, bot inventory systems, or the like. Through the use of the components and/or features as described herein, the system may provide an efficient way to manage and monitor robotic process automation bots within a computing environment.

Abstract: Embodiments of the present disclosure provide a system for continuous and real-time management and monitoring of robotic process automation bots. In particular, the architecture of the system may comprise a centralized hub which provides various features and functions for bot management and monitoring, such as real-time health status updates, granular logging and notification functions, failure detection and reporting for debugging, bot inventory systems, or the like. Through the use of the components and/or features as described herein, the system may provide an efficient way to manage and monitor robotic process automation bots within a computing environment.