---
title: "From POC to industrialisation: understanding the AI paradox"
date: 2026-04-07T09:23:40.000Z
canonical: https://www.ekino.com/publications/from-poc-to-industrialisation-understanding-the-ai-paradox/
---

## WHY DO AI PROJECTS FAIL?

### **The 2 fatal mistakes in AI projects**

Technology is never the problem. AI projects fail for two structural reasons that most organisations underestimate.

[youtube](https://www.youtube.com/watch?v=8iBghd8dgmM)

- **Mistake #1**: treating AI as a technology topic rather than a company-wide transformation.

- **Mistake #2**: failing to specify the problem properly before deploying the solution.

- **The 5 whys method**: how to avoid the hammer-and-nail trap.

### **AI: escaping operational efficiency myopia**

Generative AI is not only there to speed up what you were already doing. Limiting it to efficiency gains means missing out on 80% of its potential.

[youtube](https://www.youtube.com/watch?v=NIlYJ9JuK3Q)

- **The quick-wins trap**: why focusing solely on operational efficiency cuts you off from the real potential.

- **Understanding, not just generating**: using AI to analyse and synthesise your information assets.

- **The “less glamorous” uses**: why non-generative use cases often carry more value.

## HOW TO SUCCEED AT INDUSTRIALISATION

### **Acceptability: the hidden reason for failure**

You have the best AI system in the world. But if your teams reject it, it will never reach production. Acceptability is the factor nobody budgets for.

[youtube](https://www.youtube.com/watch?v=u638jh_eL_Y)

- **Human-machine coupling**: why you have to design the whole system, not just the AI

- **The oracle trap**: when a lack of explainability breeds rejection

- **Transformation and acculturation**: the irreducible time you have to accept

### **AI governance: avoiding Pandora’s box**

20 unregulated POCs are 20 time bombs. Agentic AI gives your LLMs arms and legs. It also gives them a capacity for harm that has to be governed.

[youtube](https://www.youtube.com/watch?v=sS-he7hk1J8)

- **Incremental governance**: how to move forward on value creation AND on structure at the same time

- **The trap of the two extremes**: paralysing rigidity vs. wild, unregulated POCs

- **Agentic AI and risk**: why connecting AI to your enterprise systems requires a strict framework

### Your AI project deserves better than a POC gathering dust.

You have identified the mistakes to avoid. You now know why 51% of AI projects never reach production.

**ekino supports companies in industrialising their AI projects**: from specifying the need to going into production, by way of governance and acceptability.

We built AVA, the multi-LLM platform deployed to 23,000 Havas employees. We know what going from POC to ROI means.

[Talk to an expert](/contact/)

[Download the Digital Radar 2026](/digital-radar-2026/)