The ReliableAI demonstration showcases its capability in anomaly incident prediction and corrective measures to mitigate potential failures. Leveraging an agentic framework, it combines supervised and unsupervised models, with an LLM analyzing alert criticality and correlating alerts with operational thresholds. Focused on a specific plant section, it covers High-Pressure (HP) and Differential Pressure (DP) systems, identifying anomalies such as productivity loss, financial loss, opportunity loss, downtime, recurring failures, and repair costs. Its mitigation options include licenser recommendations and OEM recommendations, providing controlled measures to help operators take proactive actions, minimize impact, and prevent failures.