Editor's Synopsis
GoWest.ai's Director of Operations, Lesley, argues that small teams consistently outperform large organizations in practical AI adoption — not because of superior resources, but because of how they work. The post identifies four key advantages: the ability to move quickly and adapt without layers of bureaucratic approval, clear ownership where the person testing a tool is the same person who feels the problem, faster feedback loops that enable continuous improvement rather than waiting for quarterly reviews, and a pragmatic "does this actually help" mindset that avoids adopting technology for optics.
The core insight is that large companies often get bogged down in strategy meetings, cross-departmental ownership confusion, and pressure to demonstrate they're "doing something with AI," while small teams simply try tools, evaluate results quickly, and keep what works. These habits — curiosity, willingness to experiment, learning by doing, and focusing on practical value — are positioned as transferable to organizations of any size. The post serves as both a reflection on effective AI adoption patterns and a subtle pitch for GoWest.ai's consulting approach of cutting through AI noise to focus on meaningful, outcome-driven applications.