XMPro’s Datastream Designer serves as the real-time data orchestration engine behind intelligent grid operations. It powers the ingestion, transformation, and contextualization of telemetry and enterprise data, enabling the AI-driven identification and mitigation of operational risks across substations, feeders, and corridors.

• Real-Time Data Ingestion: Continuously streams data from SCADA, IEDs, AMI meters, and weather sensors to provide live visibility into grid health and environmental stressors.

• Contextual Intelligence: Enriches raw data with GIS boundaries, maintenance history, equipment specs, and asset criticality to support context-aware analysis.

• Stream-Based Event Detection: Identifies threshold breaches, voltage instability, and weather-exposed assets within milliseconds, enabling timely intervention.

• Inline AI Execution: Embeds composite AI models directly in data pipelines to classify anomalies, predict failures, and assess disruption likelihood on the fly.

• Prescriptive Logic & Pattern Recognition: Executes intelligent decision logic—such as recognizing compound stress patterns or scenario-based risks—inline as data flows.

• Data Quality Assurance: Applies business rules, filtering, and validation logic to ensure trusted, auditable data for decision support.

• Composable & Scalable: Allows engineers to rapidly build and adapt pipelines through a no-code interface, accelerating deployment and response agility.

This orchestrated data layer forms the foundation of XMPro’s real-time digital twin for the grid. It enables proactive, AI-supported decision-making by embedding predictive, symbolic, causal, and generative intelligence directly into the streaming data layer—so teams can detect, understand, and act on risks before they escalate.

In high-risk grid conditions, timely and context-aware action is essential. XMPro’s Recommendation Manager transforms AI insights and rule-based detections into structured, prescriptive responses—empowering operators and field crews to act before small anomalies become service disruptions.

• Dynamic Risk Rules: Define rules and thresholds that adapt to grid conditions—triggering recommendations based on real-time telemetry, weather, and historical incident patterns.

• Prescriptive Response Paths: Deliver clear triage steps for grid threats, such as voltage instability, thermal overload, or storm-linked risks. Includes forms, maps, linked documents, and escalation workflows.

• Prioritized Mitigation Actions: Score recommendations by severity, urgency, and system impact. Visualize ranked tasks to ensure high-priority issues are addressed first.

• Collaborative Execution: Allow control room operators, planners, and field teams to review, coordinate, and confirm actions with traceable records.

• Field-Ready Delivery: Equip field crews with mobile access to live alerts, recommendations, and asset context—enhancing responsiveness in remote or storm-affected areas.

• AI-Augmented Recommendations: Continuously refine recommendation logic with embedded AI that learns from outcomes, adjusting playbooks over time.

Whether it’s isolating a feeder, rerouting load, or issuing a weather-triggered inspection, XMPro ensures each recommendation is backed by logic, context, and a guided action plan—integrated directly into your existing ERP, EAM, or control systems for seamless enterprise execution.

XMPro’s App Designer empowers utilities to build intelligent, real-time operational dashboards tailored to grid risk mitigation and maintenance workflows. With a drag-and-drop, no-code interface, teams can rapidly create role-specific views that visualize live telemetry, trigger alerts, and guide responses—connecting insights to action across the grid.

• No-Code UI Composition: Build interactive dashboards using over 45 configurable components—charts, maps, workflow buttons, asset panels, and more—without writing code.

• Unified Data Views: Integrate real-time telemetry, AI recommendations, GIS overlays, historical trends, and maintenance data into a single operational canvas.

• Role-Specific Interfaces: Deliver tailored experiences for control room operators, maintenance schedulers, field technicians, and senior executives—each with the insights they need.

• Embedded AI Interactions: Integrate AI Assistants and Copilots directly into dashboards to surface emerging risks, explain recommendations, and support real-time triage.

• Mobile-Optimized Layouts: Ensure field crews remain aligned with control room activities through responsive dashboards accessible in remote or storm-affected areas.

• Reusable Templates & Accelerators: Leverage XMPro Blueprints to replicate effective dashboard designs across regions, substations, or response teams—accelerating time to value.

Whether monitoring transformer thermal stress, coordinating field inspections after a storm, or planning real-time load redistribution, App Designer delivers the visibility and guidance needed—right user, right context, right time.