Published 08 October 2025

How AI Agents are Disrupting the Field Service

Nuremberg, October 8, 2025 – You independently plan the deployment of service technicians, identify anomalies in machines and propose countermeasures, or train new colleagues: AI agents will sustainably transform the technical field service. IFS demonstrates how diverse their applications are in this area.

Agent-based AI heralds a new era of automation. AI agents autonomously complete tasks without human input and make decisions, promising companies significant efficiency gains. One area that can particularly benefit is the Field Service, as it operates in a very dynamic environment with complex information. IFS, a leading provider of Industrial-AI software, demonstrates how agent-based AI can consistently support the technical field service.
 

  • Deployment planning and route optimization. A planning agent can dynamically and fully automatically plan and assign service orders. It prioritizes orders, minimizes travel times, and takes into account the qualifications of service technicians. This ensures that the right technicians with the right material are at the right place at the right time as efficiently as possible.

     

  • Anomaly detection and prevention. Specialized agents continuously monitor sensor data and machine operating parameters, independently detect deviations, and assess their significance. Based on this knowledge, other agents proactively suggest countermeasures or service deployments before a failure occurs. This minimizes downtime and reduces costs.

     

  • On-site support. Agents provide technicians with contextual assistance during their deployments by analyzing manuals, sensor data, and previous cases, then guiding the technicians step-by-step through troubleshooting based on the results. This ensures that technicians quickly diagnose and effectively resolve errors.  

     

  • Creation of service reports. Agents automatically capture all relevant information from sensors, deployment logs, and the service technician's communication during the service deployment, summarize it in a structured form, and distribute it to recipients. The technician no longer needs to laboriously record the report afterward, gaining time for more productive measures.

     

  • Forecasting spare parts requirements. Agents analyze historical and current data, derive the expected demand for spare parts, and order them accordingly. This prevents delays due to missing spare parts.

     

  • Onboarding new employees. AI agents can efficiently onboard new service colleagues. They recognize their knowledge levels, dynamically adjust learning content, provide interactive support, give continuous feedback, and further develop training content with the employees. This significantly shortens onboarding times.


“Agent-based AI is still in the early stages of its practical application in Field Service, but it is gaining importance and will increasingly permeate and transform it," says Sebastian Spicker, Managing Director DACH at IFS. "With its ability to mimic human activities, agent-based AI will make service organizations more efficient, increase customer satisfaction, and help them cope with demographic change and the shortage of skilled workers.”
Sebastian Spicker, Managing Director DACH at IFS (Source: IFS)

About IFS
IFS is the world's leading provider of Industrial AI and cloud business software for companies that produce and distribute goods, build and operate assets, and deliver services. On a single platform, IFS combines its industry-specific Industrial-AI solutions, connects them through a common data model, and integrates digital innovations. This allows companies to fully leverage their strengths exactly when it matters: in the Moment of Service™. The industry expertise of the employees, the growing ecosystem of IFS, and the stated goal of providing real value to every customer make IFS the most recommended provider in its field. Over 7,000 employees support more than 7,500 companies daily – agile, trustworthy, and collaborative. More information: ifs.com

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