Everyone's talking about AI in procurement. Digital twins, agentic workflows, intelligent sourcing — the buzzwords are everywhere. And honestly? I'm excited. I genuinely believe technology will reshape procurement in the years ahead.
But here's what concerns me: too many organizations are chasing the next shiny object before they've nailed the basics.
I see it constantly. Companies investing in sophisticated AI tools while their finance and procurement teams still operate in silos, speaking entirely different languages. Teams burning hours stitching together spreadsheets and external indexes just to explain past spending — with almost no capacity left to anticipate what comes next.
In today's volatile markets, that's simply not good enough.
Before any organization races toward the next innovation, it's worth pausing on three questions:
- Do you have real visibility into your suppliers' cost drivers?
- Can you challenge prices with data — not just gut feel?
- Is your cost model aligned with finance, built on a shared source of truth?
If the honest answer to any of those is "not really" — or "yes, but only for a handful of categories" — then that's where your energy should go first.
There are tools that can help. For me, the one that clicked was Predikt.ai.
I'm not saying it's the only option. But from my first interaction, it felt like the tool I'd been searching for since I started in procurement. What struck me most was how it changes the nature of cost models: no longer a slow, error-prone spreadsheet exercise, but a living model that updates automatically and helps teams move from reactive to predictive. Real market benchmarks. Scenario planning. And critically — a shared language between finance and procurement.
That last part matters more than people realize.
AI will transform procurement. But only for organizations with the right foundations. Without accurate cost visibility and genuine alignment between finance and procurement, even the most powerful AI just adds another layer of complexity on top of a fragile base.
The question isn't whether you're using AI. It's whether you're ready for it.
Are you building on solid ground — or just stacking tools on top of poor foundations?
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