Budgets approved. Slides polished. Everyone aligned. But where’s the impact.
Because people are starting to ask.
It’s like hiring a Formula One pit crew and using them to top up the screenwash.
The numbers behind the discomfort
If that question is landing awkwardly in your boardroom, you’re not alone, and you’re not wrong to feel it. MIT’s Project NANDA reviewed over 300 enterprise AI deployments and found that 95% of generative AI pilots delivered no measurable impact on profit and loss, despite tens of billions in enterprise spend. Only a small minority were extracting real value.
That’s not a one-off finding. A separate review of McKinsey’s own State of AI data found that fewer than 10% of organisations report scaling AI agents in any function, and 73% of respondents in product development aren’t using AI agents at all, despite nearly 80% of companies claiming regular generative AI use. Adoption is everywhere. Transformation isn’t.
Demos aren’t product. Slides aren’t strategy.
The pattern behind both sets of findings is the same. AI gets bolted onto a workflow, performs well in a controlled demo, and then quietly stalls the moment it needs to hold context, integrate with real systems, or survive contact with an actual customer.
That’s the gap between an AI strategy and expensive theatre. A pit crew is genuinely elite at what it does. Put it on screenwash duty and none of that skill shows up anywhere that matters. AI only matters when it’s embedded into real product capability that customers actually use, not when it’s the headline slide in a Q3 board deck.
Where the value actually lives
The organisations in the small minority getting real return share one thing in common. They didn’t treat AI as a pilot to run. They treated it as a product capability to build, owned by engineers who understand both the technology and the commercial outcome it needs to hit.
We give you access to engineers who turn AI investment into shipped, revenue driving product, not just demos and pilots.
And the uncomfortable truth is, the organisations getting this right have already moved, and the gap is opening now. If you’re still “exploring”, you’re already late.
