Three Massive AI Deals. How SME’s can keep up.
Managing Director of Gear Train, Munene Njogu, writes about what this means for small- to mid-sized enterprises.
PwC, KPMG, and Bristol-Myers Squibb announced the deployment of Claude AI in recent weeks.
The real story isn't the logos. It's what they tell us about where AI is actually heading.
For two years, AI in the enterprise has meant pilots, copilots, and "wait and see." Last week felt different. The biggest names in professional services and life sciences are now deploying Claude at scale across the workflows that actually run their businesses.
Here's the under-told story: the capabilities those firms are rolling out are the same ones available to a 30-person SME today.
Same models. Same APIs. Similar licence cost.
AI is levelling the playing field and with that, drawing attention to the need for implementation muscle.
Successful AI deployment rarely requires a Big Four budget; at Gear Train, we’ve been helping smaller teams bridge that execution gap. But it does require three things:
Radical scope focus: Not trying to use AI everywhere, but isolating one high-leverage workflow and scoping it end-to-end.
Speed to production: Moving past multi-month research projects and getting a production-grade version live in weeks.
Operational discipline: Same team discipline as any technology implementation that has real consequences for your business.
If a massive enterprise can find clear ROI in Claude despite all their bureaucratic inertia, a lean 30-person ops team can do it twice as fast.
The technology is no longer the bottleneck. Focus is.
