The 5 Biggest Mistakes in AI Transformation

Why 88% of companies aren't getting real value from AI—and how you can do better.

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The tools are here. But where are the results?

AI transformation often fails due to mindsets, structures, and misplaced priorities. Leaders delegate tasks, training remains superficial, and knowledge remains siloed within individual teams.

Based on our work with over 130 companies, we have identified five recurring mistakes: the delegation dilemma, the scattergun approach, experts in silos, IT as a bottleneck, and the ROI trap.

This white paper shows you how to avoid these mistakes, with specific recommendations, real-world examples, and a self-assessment checklist. For leaders and teams who want to turn AI into real value.

What you'll find in this white paper:

Identify five common mistakes—and determine the next steps for your AI transformation.

The Five Biggest Mistakes

From the delegation dilemma to the ROI trap: Identify the mindsets and structures that are holding back your AI transformation.

Specific Recommendations for Action

Lead by example, build skills, and share knowledge: That’s how you bring people, processes, and AI together.

Checklist for Your Business

15 self-assessment questions will show you where your business stands and what the next logical steps are.

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