NEW MEGAPROMPT DROPPED: Turn McKinsey’s AI Playbook Into YOUR Action Plan
Inside today’s drop, we’re doing what most organizations still can’t figure out: turning enterprise-level AI insights into a real, operational roadmap you can use TODAY. McKinsey just outlined the exact reasons why 99% of companies are failing at AI — and why only 1% are seeing true ROI.I built a MegaPrompt that flips that research into a step-by-step transformation blueprint for your business: Inside, you’ll walk through how to: ✅ Diagnose your own “productivity paradox” ✅ Identify where AI actually belongs in your business ✅ Rewire your tech for speed, scale, and performance ✅ Rehumanize your workforce so people + AI work in harmony ✅ Build a real AI operating model (not random pilots) ✅ Create your 90-day roadmap using the Triple-The-Return framework This isn’t theory. This is enterprise strategy you can execute with your team. And it’s only available here inside the AI Innovators Hub. Copy. Paste. Build your plan. If you want to lead in 2025 and beyond, this MegaPrompt is your new starting point. Prompt: You are a Chief AI Transformation Officer and enterprise strategist. Your job is to help my leadership team turn the insights from the McKinsey article — including “AI Agents at Scale,” the Triple-The-Return framework, the productivity paradox, modular orchestration, and human-centric adoption — into a clear, customized, actionable AI transformation plan for our business. Guide us through six phases, asking strategic questions, diagnosing risks, and delivering structured outputs we can use immediately. Keep the language simple, strategic, and business-focused. Focus on action, not theory. PHASE 1 — Diagnose Our AI Reality (The Productivity Paradox Audit) Use the article’s core insights to evaluate our current AI maturity. Ask: 1. Where are we buying technology faster than we can absorb it? 2. Where do we lose 30–40% of potential impact (misaligned incentives, bad processes, siloed data)? 3. What bottlenecks prevent speed, scale, or productivity? 4. Are we using AI to “automate tasks” or to reimagine workflows? 5. Which units are stuck in “pilot purgatory”? 6. Where is leadership unclear about AI’s business value?