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Are you struggling to find real AI use cases? In this video, I walk through a practical, repeatable process to turn high-level business goals into specific product ideas, then narrow them down to the right AI features to build. We use a live case (an art logistics firm) to map pain points → workflows → ideas, score them with a Green / Yellow / Red risk lens, pick one promising use case, and design a fast proof-of-concept so you can measure impact before you invest. Who this is for: Founders, PMs, and operators who need a structured way to discover, evaluate, and pilot AI use cases inside real businesses. What you’ll learn: How to translate business goals into specific AI product ideas How to map a key workflow and surface manual tasks & pain points The Green / Yellow / Red framework for AI risk and suitability A simple impact × ROI × feasibility scoring method How to design a quick POC/MVP (even with scrappy tools) and measure success How to drive adoption with ownership, training, and alignment Timestamps 0:00 - Why finding AI use cases is hard 1:22 - Step 1 — Define high-level goals & pain points 2:18 - Step 2 — Map the key client workflow 4:28 - Step 3 — Turn pains into product ideas (ideation board) 6:18 - Step 4 — Classify ideas: Green / Yellow / Red 7:34 - Step 5 — Prioritise by Impact × ROI × Feasibility; pick a candidate 8:41 - Step 6 — Pilot a small POC/MVP & define success 11:14 - Step 7 — Drive adoption: ownership, training, alignment 12:18 - Recap: the 7-step framework for discovering AI use cases About me I’m Vlad, founder of Green Republic, a London-based AI product studio. We’ve built 80+ AI products in 23 countries, and on this channel I break down practical frameworks, tools, and case studies to help founders turn AI into real business results. Let’s connect ➢ Subscribe for weekly AI breakdowns: / @vladrepublic ➢ Connect on LinkedIn: / vladrepublic ➢ Follow on Instagram: / vladrepublic ➢ Work with us: https://greenrepublic.ai/ ➢ Business inquiries: hey@greenrepublic.ai