Most AI projects in SMEs fail before reaching production because they are designed as technology projects when they are actually organizational change projects. They don't fail because of the technology: they fail because nobody has defined who will use the output, how the existing process changes, and who is responsible when the model gets it wrong.
The Problem Is Not the Technology: It's the Wrong Starting Point
In our direct experience across more than 30 AI projects with Spanish SMEs, the pattern repeats: the project starts from the technology, not from the problem. In 73% of the cases we have diagnosed internally, the project had no defined business owner with authority to change the affected process.
of AI projects at European companies do not reach stable production — IDC European AI Adoption Survey 2024
When Blurtek Recommends Not Starting an AI Project
If the process you want to automate is not documented, has no current metrics, and changes depending on who executes it, no model will stabilize it. The human process must be standardized first; then automated with AI. At Blurtek we say this directly in the first meeting, even if it means losing the project.
of mid-sized European companies have at least one AI system in real production at close of 2024 — Gartner AI Adoption in Midmarket Europe 2025
If you are evaluating an AI project for your company and want an honest feasibility assessment before committing budget, tell us the specific problem you want to solve.
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