Radium AI - 2026 Pricing, Features, Reviews & Alternatives

Radium AI is a monitoring and management software designed for Robotic Process Automation bots that identifies errors and implements automated resolutions. The system aggregates bot-run details from multiple RPA instances into a central repository for classification, integrating with leading RPA platforms including UiPath, Automation Anywhere, and Blue Prism. The platform connects with ITSM systems such as ServiceNow to automatically generate tickets for failures, significantly reducing the need for continuous manual monitoring of digital workers.

The core functionality of Radium AI centers around its machine learning engine that analyzes bot errors, identifies root causes, and determines appropriate resolution paths. This classification system answers critical incident management questions by identifying the proper resolver group and recommending specific actions, which substantially decreases turnaround time for issue resolution. The platform features an action library containing corrective measures and a workflow engine that enables users to define custom automated responses to bot failures, creating a comprehensive solution for error management.

Radium AI provides a single interface that delivers comprehensive bot observability across platforms in real-time, offering detailed health insights through data-driven analytics. The platform includes powerful dashboards with execution reports that detail bot performance metrics, platform reports featuring license utilization heatmaps and execution agent insights, and incident reports that visualize trends to identify problem areas. These analytical capabilities allow organizations to make informed decisions about their automation infrastructure and develop effective incident management strategies.

The workflow capabilities of Radium AI include a low-code interface for building complex, multi-step actions to resolve bot failures efficiently. Users can connect to multiple data sources through a library of custom nodes and access pre-built workflows designed to address complex Level 2 issues. This comprehensive approach to bot management supports organizations in scaling their automation initiatives while maintaining operational excellence, ensuring that RPA deployments remain effective and reliable throughout their lifecycle.