What we learned from a room full of procurement leaders talking about AI
We recently brought together procurement leaders from across sectors to share what's actually working and what isn't when it comes to AI transformation in procurement.
Here are the five things that stood out.
Most business cases for AI in procurement default to headcount savings. That's both limiting and unconvincing. Procurement's real value is increasing commercial outcomes and reducing risk- and in a world of ongoing supply chain disruption, the ability to rapidly assess exposure is arguably more valuable than any efficiency gain. Make sure your leadership team is hearing that story.
A common theme from every organisation on the call: licences are not the same as adoption. The shift from "we have Copilot" to "we use Copilot well" requires structured, role-specific learning, peer accountability, and a shared resource like a prompt library. Treat it like any other behaviour change programme.
There's no universal AI strategy for procurement. A mature enterprise with existing platforms needs a different approach to a lean team building from scratch. Before you develop a roadmap, be honest about where you actually are, and design accordingly.
The organisations seeing the best outcomes are building AI capability alongside external partners, not handing the work over. Delivery in waves, shared ownership, knowledge transfer built in from day one, that's the model that creates durable internal capability.
The most useful reframe of the entire session: stop asking "where are our AI use cases?" and start asking "what does a future procurement function look like, largely automated, with humans doing what only humans can do?" That question forces a genuine rethink- and it's the one that leads to the biggest value.
Check out the full webinar recording below, and if you would like to talk through where your organisation sits on this journey, get in touch.
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