The AI Reality Check

Why Most AI Initiatives Never Make It

New research from 300 organisations across Europe reveals the hidden barriers preventing AI projects from reaching production and delivering business value. Everyone is investing in AI. But very few organisations are turning that investment into measurable outcomes.

Our latest research uncovers why AI projects stall, what separates successful organisations from the rest, and the five practical foundations needed to make AI work at scale.

Complete the form to download your copy of the report and discover why most AI initiatives never reach production.

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AI is everywhere. Success isn't.

  • 27% of AI initiatives reach production
  • 58% describe AI delivery as ad hoc experimentation
  • 50% cite security and compliance as barriers
  • 25% define business outcomes before starting

Most AI challenges aren't technical

Businesses often assume AI success depends on selecting the right tools.

Our research tells a different story.

The biggest barriers to AI success are governance, security, data readiness and a lack of clear business outcomes.

Many organisations are launching projects before answering a critical question:

What does success actually look like?

Without clear objectives, even the most promising AI initiatives can struggle to move beyond experimentation.

Is your organisation AI-ready?

The report explores:

  • Why most AI initiatives fail before reaching production
  • The growing gap between AI ambition and business outcomes
  • The impact of poor data readiness
  • Why security and compliance remain major blockers
  • The five behaviours shared by successful organisations
  • Practical steps leaders can take to scale AI with confidence