How AI is helping reduce technician trips in field service
What if your field service system could flag tickets that don’t actually require a technician?
At the Green-AI Hub Forum 2025, we shared how Fieldcode is using Large Language Models (LLMs) to support AI-powered ticket diagnostics. These insights help service teams make faster decisions—avoiding unnecessary site visits and improving first-time fix performance.
This isn’t future talk. It’s already happening inside our Zero-Touch FSM system, where automation and AI work together to reduce travel, part waste, and manual effort.
You might also like...
5 breakthrough applications of Generative AI in field service management
Generative AI (GenAI) is rapidly transforming Field Service Management (FSM) by tackling some of its most persistent challenges. It’s no longer about just incremental improvements, GenAI is enabling entirely new ways to manage tasks, from dynamic scheduling to smarter quality checks, making field operations faster, more efficient, and highly customer-centric.
The transformative impact of Large Language Models in Field Service Management
Field Service Management (FSM) is experiencing a profound shift due to rapid advancements in Artificial Intelligence (AI). At the forefront of these innovations are Large Language Models (LLMs), a type of generative AI designed to understand, predict, and generate human-like language. LLMs excel at analyzing, summarizing, and creating content, allowing them to respond to user requests in natural, conversational language. While industries globally have benefited from LLMs by leading AI firms like OpenAI, their specific applications in field service are unlocking new levels of efficiency, cost savings, and sustainability.
翻译：