Fieldcode showcases AI-powered ticket diagnostics at Green-AI Hub Forum to reduce technician visits

At the Green-AI Hub Forum 2025, Fieldcode presented its LLM-based approach to improving field service diagnostics—aimed at reducing technician deployments, cutting emissions, and enhancing first-time fix rates through smarter automation.
By: Fieldcode Germany GmbH
 
NUREMBERG, Germany - April 11, 2025 - PRLog -- Fieldcode, a leading provider of field service management (FSM) software, presented its latest advancements in AI-supported ticket diagnostics at the Green-AI Hub Forum 2025 in Berlin. CEO Matthias Lübko participated in the panel discussion "What's the next step for Green AI in companies?" to share insights from Fieldcode's ongoing collaboration with Green-AI Hub.

The project, currently concluding its pilot phase, focuses on the usage of Large Language Models (LLMs) to improve the analysis of service tickets in real time. The LLM-based system draws on historical ticket data and technical documentation to automatically recommend resolution paths—such as remote support or on-site service with the correct spare parts. The goal is to reduce unnecessary technician visits, improve first-time fix rates, and support more sustainable service delivery.

"Every avoided trip is a step toward smarter and more sustainable field service," said Matthias Lübko during the forum. "By combining AI-based decision support with our existing Zero-Touch automation, we're giving service teams the tools to act faster while reducing environmental impact."

Fieldcode's Zero-Touch FSM system already automates the entire ticket workflow—from creation to technician assignment—without manual intervention. The Green-AI Hub pilot builds on this foundation by introducing a layer of intelligent diagnostics powered by LLMs. This approach supports data-backed decisions while keeping field operations lean, responsive, and resource-conscious.

The collaboration with Green-AI Hub reflects Fieldcode's ongoing commitment to sustainable innovation in field service management. The project continues to inform how domain-specific AI can enhance service diagnostics—offering a practical path forward for reducing waste, improving operational efficiency, and applying artificial intelligence in real-world service workflows.

Fieldcode Recognized for Contribution to Green AI Innovation

Fieldcode received a certificate of participation from Green-AI Hub, recognizing its role in piloting AI-driven sustainability solutions to improve resource efficiency in field service operations.

About Green-AI Hub Forum
Organized by Future – Environment – Society (ZUG) and supported by the Federal Ministry for the Environment, the Green-AI Hub Forum is an annual event showcasing how AI can drive sustainable business practices and improve resource efficiency across industries.

About Fieldcode
Fieldcode is an FSM software that automates ticket handling from creation to technician assignment through its Zero-Touch process. With 20 years of global experience, Fieldcode helps service teams reduce manual work and improve operational efficiency.

https://fieldcode.com/en/resources/blog/how-ai-is-helping...

Media Contact
Despoina Mountanea
Team Lead Marketing
despoina.mountanea@fieldcode.com
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Source:Fieldcode Germany GmbH
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Tags:FSM software
Industry:Software
Location:Nuremberg - Bavaria - Germany
Subject:Events
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