The AI pilot graveyard: Why procurement proof of concepts fail to scale

Experimenting with AI is the easy part. Scaling it is where things get difficult.

Procurement teams are increasingly running AI and agent pilots, but many promising proofs of concept never make it into production or fail to deliver meaningful value once they do.

So, what separates an interesting AI experiment from a solution that actually scales?

In this practical session, Fairmarkit will explore the common reasons procurement AI initiatives stall and what successful teams do differently to move from proof of concept to production. Drawing on real-world experience, the discussion will look beyond the technology itself to the processes, people and governance required to make AI work in practice.

On the agenda:

  • Why promising procurement AI pilots get stuck
  • How to choose AI use cases with a clear path to measurable business value
  • The difference between building an impressive demo and a workflow that can actually operate at scale
  • Why adoption, trust, change management and governance matter as much as the technology
  • How to define success — and build the business case for moving from pilot to production
  • A practical checklist for determining whether your next AI initiative is truly ready to scale


Loading feed