Why 85% of AI Pilots Fail in CX — And How to Beat the Odds

In a recent session for the AI for CX Virtual Summit, CXponent and AmplifAI teamed up to tackle one of the biggest challenges in the industry: how to actually apply AI to improve customer experience and get real results.

Too many AI initiatives are doomed from the start. According to recent research from IDC and Lenovo, only 4 out of every 33 AI pilots make it to production—a failure rate exceeding more than 85%, driven by gaps in readiness, skills, and infrastructure.

In the session, I walked through why AI projects often fail and how CX leaders can avoid the trap of a technology-first strategy by anchoring every initiative to real business problems.

We explored a practical, four-phase roadmap for moving from hype to help. The key is to focus on tangible outcomes, not just features. This session provides a framework to help you:

• Identify high-impact use cases that reduce effort and boost productivity.
• Run focused pilots that deliver measurable value in 4-6 weeks.
• Address the 67% skills gap that holds back most AI projects.

AI success starts with focus and ends with execution.

🎥 Watch the full AI for CX Summit session on Evaluating and Applying AI in CX

The session includes frameworks and examples built for execution, not theory. If you’re tasked with turning AI into outcomes, start here.