5 ways procurement AI fails, and the one architecture that works

Most enterprise procurement AI programs will not deliver the outcomes their sponsors promised. The reason is rarely the technology. It is the architectural decisions made before deployment.

In this two-part session, Omid Ghamami, President of the Procurement and Supply Chain Management Institute, draws on 25 years of transformation experience to dissect the five failure patterns that quietly derail promising AI initiatives, from delegating ownership too far down the organisation to bolting agents onto broken processes. He then flips the script to the one principle that consistently works: AI built into the platform, not layered on top.

In part two, Devika Sanil takes the theory into a live, production-grade environment. Watch the Zycus Merlin Agentic Platform in action as she walks through Intake orchestration, autonomous tail-spend negotiation, and agentic sourcing, all with the human-in-the-loop controls and policy guardrails that keep procurement leaders in command.

Omid Ghamami

President, PSCM

Devika Sanil

Solutions Consultant, Zycus

Built on more than 20 years of Source-to-Pay innovation, 32+ patents, and trillions in spend processed, this is agentic AI that moves enterprises from isolated tasks to Intake-to-Outcomes.