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Hi Moaters,

A few weeks ago, I started building Allenix.

Not just the company. The operating system underneath it.

How decisions get made. How work gets done. How the company learns. Every issue of The Moat you've read recently is me applying what I'm building inside Allenix and writing it down in real time.

I'm not building this company by finding the right people and organizing them. I'm building it by engineering context. For people. For agents. For myself. And the more I talk to the founders and CEOs I advise, the more I see it. Their job has changed. Most of them don't know it yet.

That's what this issue is about..

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The First Principle

Before I get to what changed, let me anchor in what didn't.

A business has one job.

Generate unique value and deliver it to the people who want it.

Every org chart, every hire, every tool exists in service of that one purpose. That hasn't changed in 100 years and it won't change now.

What did change is who and what is doing the work inside the factory. AI agents are now part of every workforce. They don't sit in seats. They don't respond to hierarchy. They run on context. That one fact rewrites the CEO's job description.

The Old Job vs. The New

For 50 years, the CEO's primary job was finding the right people and organizing them well. The org chart was the operating system. When something broke, you found the person responsible.

That job isn't gone. But it isn't primary anymore.

The new primary job is context engineering.

PwC's 29th Global CEO Survey, released this January in Davos, polled 4,454 CEOs across 95 countries. 56% reported zero financial impact from AI. Only 12%, the group PwC calls the "vanguard," achieved both revenue gains and cost reductions. The vanguard was 2 to 3 times more likely to have AI embedded across their full operating model.

The gap is not technology. It's context. Agents can't operate inside a strategy that was never written down.

Three Layers, One Loop

I've been sketching out a simple framework for how I think about this inside any organization. I keep trying to strip it down to its core. Three layers. One closed loop. Each one depends on the others.

Strategy. The context for how you win.

  • What is our unique value

  • Why we exist

  • What is the plan to get there

  • What is the right and wrong way we operate together

When people and agents have this written down, the right decisions get made without the founder in the room. When they don't, every decision routes back through the founder and the founder becomes the bottleneck.

Factory. The context for how you deliver value. Every type of business is a value delivery factory.

  • The customer journey from awareness through expansion

  • The moments in the value journey we create deliver value

  • The people and agents who own each stage

  • The systems and tools that support them

Not a process doc sitting in a folder. The living context every person and every agent works inside.

McKinsey studied 1,933 organizations in 2025. Only 5.5% saw meaningful EBIT impact from AI. The strongest predictor was whether they redesigned their workflows before introducing AI. The winners engineered the Factory first. Then they added the agents.

Intelligence. The tether that closes the loop. This is where agents create magic. Every department becomes a source that improves the overall Strategy and Factory.

  • Marketing sees which messages convert and which fall flat

  • Sales captures which objections kill deals

  • Customer success watches where clients struggle to find value

  • Finance flags where revenue leaks

Without Intelligence, each function holds its own data and the company doesn't learn. With it, every interaction sharpens Strategy and strengthens Factory. A Panopto workplace knowledge study found 42% of institutional knowledge lives only inside the individual. When that person leaves, it leaves with them. Intelligence is what converts that knowledge into context the whole company owns.

The CEO isn't at the top of this structure. The CEO is at the center, engineering the context every layer runs inside.

Monday Morning Audit

Old question. Who is responsible?

New question. Which layer needs improvement?

Three things to test this week:

  1. Strategy. Ask the management team to write down the company's unique value and three SMART goals for the year. Compare the answers. Are they on the same page? Now ask the rest of the company. Same test.

  2. Factory. If the top performer left next month, would the Factory still deliver?

  3. Intelligence. What does one team know today that the whole company should know tomorrow?

If any of those answers is "in someone's head," that's the layer to fix first.

Most leaders are asking their teams to do more with AI. The ones building real moats are asking a different question first.

Have I engineered the context that makes that possible?

'Til next time,

--Ali

P.S. If you're working through Strategy, Factory, or Intelligence inside your company, I'd love to hear how. The best stories might end up in a future Moat issue. Book 30 minutes here.

About Me: I'm building Allenix, an agentic growth firm helping founders and operators engineer the context their companies need for the AI era. Houston. Zohra. Two daughters.

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