I keep going back and forth on this. There are services now where you upload a raw point cloud and it spits out classified geometry, ground, buildings, trees, ready for CAD or GIS, all without a tech touching it. On paper that saves days of cleanup work. But I've spent enough evenings manually fixing misclassified roofs to be a bit skeptical. For my own side projects I wouldn't hesitate. Drag the file in, get a model, done. For a client deliverable though? Not sure. If a building gets classified as vegetation or the ground surface dips where it shouldn't, that's my name on the drawing, not the algorithm's.
Curious where other people draw the line. Is it about the volume of data, the accuracy requirements, or just how much time you have to check the output? And if you've tried these automated pipelines, how far off was the geometry compared to doing it by hand? I imagine the answer changes completely depending on whether it's a rough massing model or something going into a design workflow where a half meter matters.