Siemens adds GenAI to its Industrial Copilot, helping factories shift from reactive fixes to predictive, data-driven maintenance.
Siemens has upgraded its Industrial Copilot with GenAI capabilities to improve maintenance and engineering in manufacturing. This AI-powered assistant helps teams generate PLC code in plain language, cutting programming time by 60% and lowering error rates. It reduces the need for specialized skills, making automation more accessible to non-experts.
A major new feature is a GenAI-enabled maintenance solution, built on Microsoft Azure and Senseye Predictive Maintenance. This system guides businesses through the full maintenance cycle using AI-generated insights. By moving beyond reactive maintenance, it helps manufacturers predict failures, automate diagnostics, and schedule preventive action. The result is less downtime, fewer emergency repairs, and smarter planning.
Siemens offers two deployment packages. The Entry Package provides AI-guided repair support and basic predictive features. It’s aimed at smaller setups seeking condition-based maintenance. The Scale Package integrates with the full Copilot experience. It supports enterprise-wide monitoring, real-time sensor data, and automated diagnostics, helping companies scale predictive maintenance across multiple sites.
Early trials show promising results. The AI Copilot helped reduce reactive maintenance time by up to 25%. It combines real-time analytics with GenAI-driven recommendations, giving teams faster decisions and better resource planning. With this expansion, Siemens is pushing factories toward proactive, resilient, and cost-efficient operations powered by GenAI.