By Prestanda Consulting
Where AI meets mathematics, not magic.
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The Problem with “AI Projects” Today
Most AI projects fail long before the first model is even trained.
Why? Because teams rush to algorithms before they truly understand what business outcome they’re trying to improve — or what their data actually represents.
At Prestanda Consulting, we’ve seen this play out across industries — from logistics and finance to healthcare and retail. And every time, the fix has been the same:
Real AI doesn’t start with data. It starts with business intent and the mathematics that connects intent to intelligence.
This is how we built an enterprise-grade, production AI system — not by chasing hype, but by engineering the bridge between data, equations, and business impact.