Why Evaluation Matters
Gartner warns that 40%+ of agentic AI projects will be cancelled by end of 2027. Explore the data and map each failure mode to the evaluation practice that would catch it.
Cancellation Risk Explorer
Click the stat cards to explore each failure driver. Filter by industry or failure category to see which risks matter most in your context.
Click a stat card above to explore the data behind it
Key insight: Most agentic AI project failures are preventable. They stem not from model limitations but from the absence of systematic evaluation practices that would surface problems before they become costly.
Evaluation Gap Mapper
Each common failure mode maps to a specific evaluation practice. Click a failure to reveal the gap and learn what evaluation would catch it.
Takeaway: Evaluation is not a phase you add at the end. It is the connective tissue between building and deploying an agent. Every failure mode above has a corresponding practice that would catch it early, when fixing is cheap.