Writing on augmented intelligence, in practice
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№01
The Intelligence Estate: Why the Companies Winning at AI Stopped Renting It
Most enterprise AI is theater - 88% adoption, 6% real impact. The companies in the 6% did one thing differently: they stopped renting AI as a feature and started building it as an owned, compounding asset.
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№02
Before You Deploy AI, Solve the Data Layer
Most enterprise AI projects don't die at the model. They die at security review. The data-layer requirements that determine whether your AI ever leaves the notebook.
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№03
Sovereign AI: Why the Next Wave of Enterprise AI Lives Inside Your Walls
Public-cloud LLM APIs are fine for low-stakes work. They break the moment data is regulated, proprietary, or operationally sensitive. The case for sovereign AI - and the operating pattern that makes it work.
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№04
AI Governance Is an Operating Discipline, Not a Compliance Checkbox
Most AI governance fails because it's owned by Legal instead of Operations. The four operating disciplines that separate enterprise AI that ships from AI that gets killed in audit.
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№05
AI Agents Are Quietly Transforming Supply Chain
Forget the hype. Agentic AI is already reshaping procurement, logistics, and demand sensing - but not the way most vendors describe it. Here's what leading supply chain teams are deploying right now.
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№06
5 AI Wins You Can Ship in 30 Days
You don't need a 12-month roadmap to start seeing value from AI. Here are five high-impact, low-risk implementations that most organizations can deploy in a single month.
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№07
Why 85% of AI Projects Fail - And How to Be in the 15%
The gap between AI pilots and production isn't technical - it's operational. We break down the patterns that separate successful AI deployments from expensive experiments.
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№08
Agentic Workflows: When to Automate vs. When to Augment
Not every process needs a fully autonomous agent. A practical framework for deciding where AI agents create the most leverage for your team.
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№09
The Human+AI Playbook for Supply Chain Planning
How leading supply chain teams are combining AI-driven forecasting with human judgment to outperform pure automation - and what you can replicate.
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№10
Building an AI Readiness Assessment for Your Organization
Before you deploy AI, you need to know where your organization actually stands. Here's the assessment framework we use with every client.
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№11
From Spreadsheets to Systems: What AI Transformation Actually Looks Like
A step-by-step account of what happens when an organization moves from manual processes to augmented intelligence systems - and why timelines vary more than vendors admit.
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№12
What Military Decision-Making Teaches Us About AI Governance
Combat-tested decision frameworks translate directly to AI governance. How the OODA loop, commander's intent, and mission orders apply to enterprise AI.