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A very relevant perspective ahead of our ๐๐ผ๐ฟ๐๐บ ๐ถ๐ป ๐๐บ๐๐๐ฒ๐ฟ๐ฑ๐ฎ๐บ ๐ผ๐ป ๐ตโ๐ญ๐ฌ ๐๐๐ป๐ฒ: ๐ช๐ถ๐น๐น ๐๐ ๐ฟ๐ฒ๐ฝ๐น๐ฎ๐ฐ๐ฒ ๐ต๐๐บ๐ฎ๐ป๐ ๐ถ๐ป ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ โ ๐ผ๐ฟ ๐ถ๐ ๐ถ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฐ๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด ๐ต๐ผ๐ ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ผ๐ฟ๐ธ ๐ด๐ฒ๐๐ ๐ฐ๐ผ๐ผ๐ฟ๐ฑ๐ถ๐ป๐ฎ๐๐ฒ๐ฑ?
Across discussions on Spare Parts Management, Field Service Operations, Support Centers, forecasting, planning, and workforce transformation, one pattern keeps returning: ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐-๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐โ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐.
What makes this shift particularly interesting is that the challenge is often not the technology itself. In turn, it is organizational readiness: ๐ ๐๐๐ ๐๐๐๐๐๐๐, ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐, ๐๐๐๐๐๐๐๐๐๐, ๐๐๐๐๐, ๐๐ ๐๐๐๐๐๐, ๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐.
โ In this article, our founder Hilbrand Rustema reflects on how ai is beginning to absorb parts of the coordination burden that organizations historically relied on humans to manage โ and what this may mean for the future role of operational teams and service leaders.
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