Across these companies, the common thread is practical implementation. Most AI gains came from embedding tools like Microsoft Copilot, GitHub Copilot, and OpenAI APIs into existing workflows. Aviad Almagor, VP of technology innovation at tech company Trimble, also notes that more than 90% of Trimble engineers use Github Copilot. The ROI, he says, is evident in shorter development cycles, and reduced friction in HR and customer service. Moreover, Trimble has introduced AI into their transportation management system, where AI agents optimize freight procurement by dynamically matching shippers and carriers.
These examples show that value creation from AI doesn’t require massive investment in bespoke platforms. Often, the best results come from building on proven, scalable technologies and integrating them thoughtfully into existing systems.
Build a culture that encourages AI fluency
Technology may be the essential element, but culture is the catalyst. Successful AI programs are supported by organizational habits that promote experimentation, internal visibility, and cross-functional collaboration. A culture of curiosity and iteration is just as critical as a strong technology stack.
