Implementing a Bot Health Framework: Ensuring Resilience, Self-Healing, and Performance Monitoring

Authors: Sai Sneha

DOI: https://doi.org/10.5281/zenodo.14900614

Short DOI: https://doi.org/g85pp2

Country: USA

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Abstract: As organizations increasingly adopt Robotic Process Automation (RPA) to streamline operations, the need for a robust Bot Health Framework becomes critical. A Bot Health Framework ensures that automation solutions are resilient, self-healing, and continuously monitored for optimal performance. This white paper explores the implementation of a Bot Health Framework using UiPath and AI-driven technologies. By integrating resilience strategies, self-healing mechanisms, and performance monitoring tools, organizations can minimize downtime, reduce operational costs, and maximize the ROI of their RPA investments. This paper also highlights the role of AI in predictive maintenance, anomaly detection, and performance optimization, providing actionable insights for organizations to build a sustainable and scalable automation ecosystem.

Keywords: Robotic Process Automation (RPA), UiPath, AI, Bot recovery framework

Paper Id: 232157

Published On: 2024-08-13

Published In: Volume 12, Issue 4, July-August 2024

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