Ken McLoud: Why 90% of AI Projects Fail and How Visionary Entrepreneurs Can Scale with Custom Agents скачать в хорошем качестве

Ken McLoud: Why 90% of AI Projects Fail and How Visionary Entrepreneurs Can Scale with Custom Agents

Stop "Vibe Coding" and Start Scaling: The Visionary’s Guide to AI ROI. Are you feeling the "AI Fog"? As a visionary entrepreneur, you’ve likely heard the promises: AI will save you 20 hours a week, AI will replace your marketing team, AI will run your business while you sleep. But if you’ve actually tried to implement it, you’ve probably hit a wall of generic chatbots, "prompt packs" that don’t work, and tools that feel more like a distraction than a solution. The truth? 90% of corporate AI projects fail. They fail because they start with the technology instead of the bottleneck. In this episode of The Lighthouse Sessions, I sit down with Ken McLoud, the founder of Laconic Tech. Ken isn't your typical "AI Guru." He is an engineer and a fractional software partner who builds custom, intelligent systems for high-stakes industries like manufacturing and logistics. He joins us to pull back the curtain on how to bridge the gap between high-level visionary ideas and grounded, profitable execution. What You’ll Learn in This Episode: Efficiency vs. Effectiveness: Why doing things fast (efficiency) is a trap if you aren't doing the right things (effectiveness). The "Intelligent Intern" Test: How to know exactly which parts of your business are ready for automation and which ones still require your "soul" and intuition. The Theory of Constraints: How to view your business as a "revenue pipe" and identify the exact narrow point where AI can provide a 10x return. Managing by Exception: A framework for visionary leaders to let AI handle the "normal" high-volume tasks so the human team can focus on high-value outliers. Security for Visionaries: How to build "sandboxed" AI agents that can analyze years of your company data without risking your sensitive information or intellectual property. The ROI North Star Ken shares two incredible case studies—one in logistics and one in manufacturing—where AI agents aren't just generating text; they are calculating profit margins in real-time, bidding on contracts in minutes, and optimizing shop-floor performance based on historical data. If you are tired of the hype and ready for a technical partner’s perspective on how to actually grow your capacity without exploding your overhead, this conversation is for you.