Source: Fortune
Summary
Many companies struggle to implement AI due to complexity and integration issues, with 95% of generative AI pilots failing to scale into production. However, some agile enterprises, such as Seagate and New Balance, have successfully implemented AI by rebuilding their operating environments from the ground up, consolidating data, and defining workflows. These companies have achieved significant results, such as improved ticket resolution and increased efficiency. The key to their success lies in their ability to reduce fragmentation, apply AI to improve execution, and treat AI adoption as an operating discipline.
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The strategy enters a familiar phase.
Seagate and New Balance are examples of agile enterprises that have successfully implemented AI by rebuilding their operating environments. They have achieved significant results, such as improved ticket resolution and increased efficiency. The key to their success lies in their ability to reduce fragmentation, apply AI to improve execution, and treat AI adoption as an operating discipline. Companies like Nucor and Steel Dynamics have also shown similar patterns of success. The common trait among these companies is that they have made a deliberate choice to stop dragging their past forward and start building for what comes next.
That choice is what separates the companies pulling ahead with AI from the ones that are still talking about it.
Author: Evan Null
