Plant Maintenance with Predictive Workbench

Introducing Copilot-enabled Plant Maintenance with Predictive Workbench, an AI-powered enterprise solution designed to maximize equipment reliability and operational efficiency. By combining predictive maintenance workbench, sensor data analytics, real-time failure alerts, advanced business analytics, and a GenAI-powered playbook, it empowers technicians and managers with persona-specific guidance to optimize asset performance while seamlessly integrating data from SAP systems, OT time-series machine data, and unstructured document repositories. The solution addresses common enterprise challenges such as delayed responses to unplanned breakdowns, high costs from calendar-based maintenance, underutilized OT data, and lack of real-time asset health visibility. Built on Azure ML Studio, Power BI, Azure AI Search, and Azure OpenAI, it provides intuitive access to predictive insights, real-time monitoring, and actionable intelligence across the plant floor.

Key solution components include:

- Predictive Maintenance Workbench: Accessible via Web, MS Teams, and Outlook Mobile, it allows training of up to six models in Azure ML Studio with real-time evaluation metrics and proactive failure alerts for targeted maintenance actions.

- Sensor Analytics: Visualized through Power BI, Web, MS Teams, and Outlook Mobile, it provides real-time equipment performance monitoring, actionable insights, and SPC threshold indications.

- Pre-Configured Analytics: Available across Power BI, Web, Teams, and Mobile, it delivers standardized dashboards (7) and KPIs (40), such as Maintenance Activity Performance and Depreciation Analysis for enterprise-wide visibility.

- GenAI Playbook: Enabled on Web, MS Teams, and Mobile, this Azure OpenAI chatbot ensures instant retrieval of manuals, troubleshooting guides, and maintenance history for faster resolution.

Together, these capabilities empower maintenance engineers with predictive alerts, real-time sensor-driven insights, and rapid access to technical knowledge, while giving maintenance managers greater visibility into asset performance, optimized resource allocation, and stronger control over service order management.

Business Impacts:

- 10% to 20% Reduction in Maintenance Cost

- 10% to 15% Increase in Uptime of Machine

- 10% to 15% Increase in Overall Equipment Effectiveness (OEE)

Transform maintenance into intelligence. Try our solution now!