Why AI Projects Fail and How to Lead Them to Success

The reality: most AI projects don’t deliver.

AI holds enormous promise, but too often projects stall or fail to create value. The difference isn’t only the technology—it’s the leadership, strategy, and execution behind it.

In this webinar, Nividous experts explain why AI initiatives fall short and share what successful leaders do differently to convert potential into measurable business results.

Key Learnings from the Session

• Why most AI projects fail: and how to avoid the common pitfalls.
• The leadership gap: how vision, sponsorship, and alignment shape outcomes.
• Execution that delivers: practical strategies to accelerate adoption and ROI.
• Success in action: case studies from organizations driving measurable impact.
• Your blueprint: actionable steps to de-risk and future-proof your AI initiatives.