The 3 pillars you must get right to succeed with agentic AI in the industrial enterprise

We’ve moved beyond the 'if' of AI and into the 'how'. For industrial enterprises, the opportunity is clear — AI agents that can act autonomously, understand context, and support or even lead complex operational decisions are no longer a future ambition — they’re becoming business-critical. These 'digital co-workers' aren’t here to replace humans, but to work alongside them, increasing productivity, improving safety, and sharpening competitive edge. But to turn agentic AI from aspiration to scalable impact, businesses must focus on three interconnected enablers — data, technology, and culture.

Data that works for AI — preparing the foundation

In most industrial environments, data is anything but ready for AI. It often lies scattered across siloed legacy systems, hidden in unstructured formats or trapped in infrequently updated spreadsheets. Without clean, contextualised, and real-time data, even the most sophisticated agentic AI cannot deliver reliable insights or autonomous actions. The first step toward unlocking the ...