Most AI automation projects fail because people try to sell the technology instead of solving actual business problems. The key is starting with an industry you already know, identifying specific pain points, and proving you can increase revenue or cut costs before scaling to other companies. Don't chase hot industries - work within your existing expertise and build case studies first.