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Agentic AI is suddenly everywhere in procurement. Every vendor claims to have it. Very few can show how it actually works once you move past the demo.

In many cases, “agentic AI” is just generic AI with a new label. Chat assistants. Task automation. Loosely stitched workflows that look impressive in slides but fall apart in real procurement environments. They lack procurement context, unified data and the controls needed to run work end to end.

That gap has real consequences. Teams buy in expecting autonomy and end up with more manual work, slow adoption, and expensive rework.

In this webinar, GEP and SIG cut through the noise. We break down what real agentic AI looks like in practice and share a practical way to evaluate solutions beyond feature lists and polished demos.

You’ll leave knowing what to look for, what to challenge, and how to avoid costly buying mistakes when evaluating agentic AI for procurement.

What you’ll learn:

• Why much of today’s “agentic AI” is mis-sold to procurement teams
• The difference between AI assistants, task automation and true agentic orchestration
• Why domain-specific knowledge, unified pay data, and enterprise controls are critical
• How one-size-fits-all AI models limit real-world procurement execution
• What to look for in demos to validate real value and time to impact

Speaker(s):

Paul Blake, Senior Director of Engagement, GEP

Paul has worked in the business technology space for over 35 years, the last fourteen at GEP, and has been involved in the development of business software for all that time. He has long-term experience of the trends, developments and impacts of technology.