AI Operations Performance Dashboard Generation Agent

How Cassidy automatesStep 1: Connect to plant floor data sourcesCassidy integrates with your existing OT infrastructurehistorians, SCADA, MES, and CMMSpulling tag data, equipment states, production orders, and maintenance records into the Knowledge Base for unified context.Step 2: Contextualize assets and define KPI logicThe Workflow maps incoming signals to your ISA-95 asset hierarchy and applies standardized KPI calculations. Cassidy understands your equipment templates, ideal run rates, shift calendars, and reason code taxonomies to compute OEE, uptime, MTTR, and MTBF accurately.Step 3: Detect anomalies and generate alertsCassidy's Agents continuously analyze streaming data against control limits and ML-based anomaly models. When thresholds are breached or patterns indicate emerging issues, the system generates prioritized alerts with root-cause context and routes them to operators, supervisors, or maintenance teams.Step 4: Build and update real-time dashboardsThe Workflow automatically generates role-specific dashboardsOEE gauges and trends for plant managers, downtime Paretos for CI teams, reliability metrics for maintenance plannerswith drill-down from plant to line to individual asset.Step 5: Close the loop with automated actionsCassidy creates CMMS work orders for high-priority anomalies, prompts operators for downtime reason coding, and feeds repair outcomes back into MTTR calculationskeeping your KPIs accurate and your teams focused on continuous improvement.