How To Fail In AI Projects
Avoid the pitfalls that drain budgets, waste time, and derail digital transformation.
The Hard Truth About AI in Business
Most AI projects don’t fail because of technology. They fail because companies don’t set the right expectations, prepare their data, or align their teams.
When organizations rush into AI, they often treat it as a magic switch. But without clear goals, strong foundations, and realistic planning, projects quickly turn into expensive experiments. The result? Frustration, wasted resources, and little to show for the effort.
This ebook walks you through the most common mistakes that derail AI projects and explains why they happen. By learning where others went wrong, you’ll be able to recognize the red flags early and steer your own initiatives toward better outcomes.
