Building AI solutions yourself as a non-IT company? Don’t. The evidence speaks for itself.
Veel bedrijven worstelen met AI. Volgens een MIT rapport levert 95 procent van de generatieve AI pilots geen financieel resultaat op. Het probleem zit niet in de technologie maar in de toepassing.
Many companies struggle with AI. According to an MIT report, 95 percent of generative AI pilots deliver no financial return. The problem isn’t the technology—it’s how it’s applied.
Companies often try to build something themselves. That sounds smart, but in practice it stalls. Data is hard to access, systems don’t integrate, and internal teams lack experience. The result: projects fail without delivering results.
Companies that use a proven solution have more success. They don’t buy a standalone demo—they adopt a product already running in production. This makes a real difference: integration is faster, value becomes measurable, and the organization doesn’t have to reinvent the wheel.
For logistics, this means choosing a specialist is the smarter move. Someone who understands transport orders, knows what emails and documents look like, and easily connects to a TMS or other systems. That’s exactly what Chainfill does.
We focus entirely on transport orders. No broad AI promises—just concrete results: less manual work, fewer errors, and faster order processing. We start small, measure the gains, and then scale up.
The MIT report shows how often AI pilots fail. We show that it can be done differently.