Business Scaling Insights

Category: Enterprise AI

Latest
Mammals And Dinosaurs

In the AI Era, Success Goes to the Most Adapted

Summary Insight: The next generation of companies will run on a centralized AI brain — and leave slow-moving incumbents behind. If you’re not building yours now, you’re already late. Key Takeaways: Centralized, proprietary AI creates persistent context and speed. Your

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Chaos To Clarity

In the Age of AI, Human Structure Decides Who Wins

Summary Insight: AI won’t fix chaos—it reveals it. Your structure, not your stack, decides whether agents scale execution or get thrown out. Key Takeaways: Shared context is the bottleneck for both humans and AI agents. Structure drives AI success without

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Why Centralizing AI Is The Only Way To Centralize It

Why Centralizing AI is the Only Way to Decentralize It

How to Become an AI-First Company Summary Insight: To scale AI intelligently, you must centralize first—then unleash innovation at the edges. Key Takeaways: Scattered AI tools create data silos, misalignment, and waste. A centralized AI Intelligence Layer unifies data, tools,

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ForwardFutureAI Organiztational Physics

Applying Organizational Physics to AI Adoption

Just released: the latest Forward Future newsletter featuring my new article — Applying Organizational Physics to AI Adoption. It’s a must-read for leaders serious about scaling AI the right way. https://www.forwardfuture.ai/p/applying-organizational-physics-to-ai-implementation. Forward Future is one of my favorite sources for

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Why MCP Is Not Enough1

MCP Isn’t Enough: You Need an AI Intelligence Layer

Without an AI Intelligence Layer, Your Enterprise AI Strategy Will Fragment, Not Scale Summary Insight: Connecting LLMs to your enterprise through MCP alone creates a disconnected, dumb system. To scale with intelligence, you need a centralized execution engine — an

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