Solutions built on Agentic AI are more than just hype. Companies with complex, dynamic service and production processes and an advanced level of digital maturity can unlock a powerful new lever for optimization with Agentic AI solutions. Flexible by design, these solutions can be deployed across multiple areas, delivering measurable improvements where they matter most.
So what does that look like in practice? Autonomous agent systems take on targeted tasks at every stage of the value chain, from production and maintenance to technical service. Operating with contextual awareness, they seamlessly interact with machines, systems, and people. The result: smarter automation, faster response times, and a measurable boost in operational efficiency.
A manufacturer and operator of renewable energy generation systems must continually improve its labor- and cost-intensive service operations. The successful modernization of its IoT platform paves the way for the next step: resolving complex faults efficiently with the help of Agentic AI, even when no specially trained personnel are on site. The technician app must also function offline in areas with poor network coverage
With deep data integrations, a system based on Agentic AI can uncover the root cause of even complex faults, analyzing information from manuals, IoT sensors, customer records, regional databases, and ticketing systems. Service technicians can perform case-specific queries online and continue LLM-assisted troubleshooting offline in the field. The result: comprehensive guidance for every technician, boosting efficiency and driving higher first-time-fix rates, even without specialized expertise on site.
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