Last week. Boardroom at a manufacturing company in Brabant.
"We're already working with AI," says the director. "Copilot has been rolled out for the entire team."
"Good. Does it help?"
"Absolutely. My people write faster reports. Less time on emails."
"Great. And will you know by 8 AM tomorrow if there's a material problem coming this week?"
Silence.
That's the difference.
Copilot is a layer on top. A good layer.
It makes your people more productive at office work. Documents, emails, meeting notes. Real value, no question.
But it can't handle your ERP data. It doesn't optimize planning based on current inventory. It doesn't see a delivery problem coming three days from now.
"But we have AI in our ERP system," I sometimes hear.
That only gets you halfway. That AI only plays on its own half of the field. Knows nothing about what's happening in your warehouse, your transport, or on your production floor. And with one smart player, you don't win the match.
Here's how real AI in your operations works
Data from your ERP, MES, TMS, and SCM comes together in one data layer. No silos. No waiting weeks for a report from the BI department.
On top of that: dashboards that show what's happening right now. Algorithms that optimize planning. And the ability to ask questions directly to your own business data. Your own data, in a private AI language model. Not in a public model. You stay in control.
Your operations manager asks: "What do I need to know for the 9 AM standup?"
He gets the answer in seconds. With a chart.
That's not a productivity improvement.
That's a different way of working.
The add-on layer and built-in ERP AI each play their part. But without a data platform as the foundation, you're missing exactly where AI makes the real impact.
Sound familiar as a manufacturing company? See how we eliminate frictions in manufacturing.
Sound familiar? Book a 30-minute quickscan and find out which friction costs you the most. Prefer to read first? Download the paper.