Thirty years. Same question.

I have been working with enterprise ERP systems for almost thirty years. MRP. Real-time inventory. Business intelligence. Advanced analytics. And now, AI.

Every generation arrived with a bigger promise. Better planning. Faster decisions. More automation. Greater visibility. And every one of those promises rested on the same foundation: good data.

When the material master is wrong, MRP builds the wrong plan. When inventory data is unreliable, “real time” just means wrong faster. When reporting runs on inconsistent definitions, the dashboard gives bad decisions a polished presentation.

AI does not change that equation. It raises the stakes. AI can take one bad record, push it through every connected system, and replicate the error at machine speed. The mistake that used to surface in a month now spreads before anyone thinks to look.

The technology keeps evolving. The foundation has not changed.

And that is the good news. The question is thirty years old, which means the playbook that answers it is too. Data trust is measurable — record by record, rule by rule — and if your first AI use case has not shipped yet, every path is still open. You are not behind. You are exactly where the honest look does the most good.