

Why Agentic AI Is Revolutionizing Enterprise Asset Management
9 snips Aug 21, 2025
Chris van den Belt and Berend Booms from Ultimo, an IFS company, delve into the exciting evolution of agentic AI in enterprise asset management. They discuss how AI is transforming from a supporting role to a key autonomous worker, enhancing safety, maintenance, and engagement across various skill levels. Real-world use cases illustrate AI's impact on incident reporting and preventive strategies. The conversation emphasizes the importance of trust between humans and AI, ensuring smooth integration and improved efficiency in managing assets.
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Agentic AI Defined
- Agentic AI acts autonomously to plan, reason, and execute multi-step tasks without constant human prompts.
- It takes initiative to achieve goals, unlike prompt-driven generative models like ChatGPT.
Autonomy Over Copilots
- Agentic AI shifts from co-pilot UI features to autonomous digital coworkers making decisions within EAM workflows.
- This approach augments human teams by enabling autonomous decision making rather than only offering suggestions.
Multimodal Field Interaction
- Berend describes frontline workers using multimodal interactions like voice to access AI while wearing protective gear.
- He contrasts static dashboards with on-the-move support that fits real field conditions.