The Top 3 Pitfalls Behind Failed Agentic AI Initiatives in Procurement

Agentic AI promises autonomy and speed in procurement. But for many organizations, those ambitions stall before delivering real value.

So where do agentic AI initiatives break down?

Poor data quality contributes to 80% of AI project failures, shows new Procurement Leaders research, sponsored by GEP. At least 67% of companies say legacy systems inhibit AI adoption.

This research report examines three common hurdles that prevent procurement teams from moving from experimentation to execution and outlines what leaders must address before agentic AI can operate at scale.

What's Inside:

• Why fragmented data undermines agentic AI initiatives
• How legacy systems limit real-time, autonomous execution
• What internal skills and change management agentic AI requires

This paper is essential reading for adopting agentic AI without costly missteps.