90% of AI projects fail. Take this 3-minute assessment to discover your risk level and get personalized recommendations.
Based on our analysis of 50+ implementations, AI projects fail for 4 predictable reasons:
37%
Wrong People
Hiring generalists instead of AI specialists
28%
Wrong Problem
Automating low-impact processes first
18%
Wrong Approach
Using off-the-shelf tools that don't fit
17%
No Follow-Through
Launching without ongoing optimization
8 questions to assess your risk of AI implementation failure. Get personalized recommendations based on the 4 critical failure modes.
Learn more about each failure mode and how to avoid them in our detailed guide.
Read: Why AI Fails