Scale innovation without limits using Mendix

Nuclear energy companies face increasing pressure to modernize amid decarbonization goals, aging infrastructure, and stringent regulatory requirements. This article explores how low-code platforms, AI, machine learning, and integrated digital systems can replace outdated, siloed workflows – simplifying asset monitoring, compliance tracking, and reporting. By streamlining data, automating maintenance and simulations, and unifying operations and engineering systems, firms can improve efficiency, shorten development and licensing cycles, and reduce risk. The result: more agile, sustainable, and regulatory-ready nuclear operations, setting the stage for a greener, smarter energy future.

Industrial organizations – from manufacturing to energy – struggle with complex supply chains, siloed systems, and tight margins. This article explains how adopting the open-standard Model Context Protocol (MCP) enables AI agents to integrate seamlessly with existing business systems and data sources. By standardizing connections and letting AI dynamically discover and use APIs at runtime, MCP tools eliminate the need for brittle custom integrations, enabling scalable, flexible automation. The piece also shows how Mendix brings these capabilities to low-code developers – making it easier to embed powerful, compliant AI workflows into enterprise applications. In doing so, organizations can streamline reporting, maintenance, compliance, and workflows – unlocking smarter, more efficient operations.