Lars Nielsen: Why Off-The-Shelf AI Fails (And How to Build Real Systems)

Most companies treat AI like a buzzword. Very few are actually building systems that drive the bottom line. In this week's episode, I sit down with Lars Nielsen, an AI entrepreneur and automation operator based in Denmark.

Lars doesn’t build superficial chatbots. He builds custom operational systems that eliminate real bottlenecks. We break down why most companies get AI completely wrong—buying off-the-shelf solutions and hoping for magic, instead of fixing their processes and structuring their data first.

Here is what we cover: Why internal, custom-built AI systems will always crush generic off-the-shelf tools. How Lars automates complex workflows in practice—like generating real-time proposals during active client meetings. Why rock-solid, structured data is the only foundation that actually delivers ROI on your AI investments.