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Articles & Deep Dives

The complete archive of our thoughts, essays, and rigorous analysis. Discover in-depth research on enterprise engineering, artificial intelligence, and digital strategy.

The Agent Reliability Problem: Why Your Multi-Step AI Keeps Breaking
engineeringRecently Published

The Agent Reliability Problem: Why Your Multi-Step AI Keeps Breaking

A 95%-reliable step chained ten times is ~60% reliable. The Reliability Tax explains why agent demos collapse in production and how to architect around it.

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Measuring AI's Actual ROI: The Attribution Trap That Fools Everyone
strategyRecently Published

Measuring AI's Actual ROI: The Attribution Trap That Fools Everyone

Most AI ROI is attribution theater. The Value Attribution Ladder shows why only the counterfactual rung honestly proves that the AI caused the result.

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The Team You Actually Need to Build AI (It's Not Who You Think)
operationsRecently Published

The Team You Actually Need to Build AI (It's Not Who You Think)

Teams staff AI as if ML talent is the scarce ingredient. The Capability Triangle — product, engineering, domain — shows the missing vertex is usually domain.

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Capability Is Becoming Free. Judgment Is Becoming Everything.
strategyRecently Published

Capability Is Becoming Free. Judgment Is Becoming Everything.

AI capability is commoditizing fast. The durable advantage is judgment: where to apply it, what to refuse, how to earn trust, what to fund. The AI-native stack.

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The AI Business Case That Survives a CFO: Total Cost of Ownership, Not Build Cost
strategyRecently Published

The AI Business Case That Survives a CFO: Total Cost of Ownership, Not Build Cost

Most AI business cases model only build cost and fail within a year. The Three Cost Curves — build, run, switch — model and defend an AI investment to a CFO.

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Why Most Enterprise AI Pilots Never Reach Production — and the Four Gates That Change the Odds
strategyRecently Published

Why Most Enterprise AI Pilots Never Reach Production — and the Four Gates That Change the Odds

Most enterprise AI pilots fail in the organization, not at the model. The Four Gates — Value, Data, Trust, Economics — decide which pilots reach production.

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You Can't Mandate Adoption: The Five-Step Sequence That Earns Trust in a New AI Tool
operationsRecently Published

You Can't Mandate Adoption: The Five-Step Sequence That Earns Trust in a New AI Tool

You cannot mandate AI adoption — it is trust earned in a fixed order. The Trust Ladder: exposure, understanding, verification, reliance, then advocacy.

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The Pilot Trap: Why Your AI Never Leaves the Lab
strategyRecently Published

The Pilot Trap: Why Your AI Never Leaves the Lab

Most AI gets stuck in perpetual piloting. The Production Gradient turns the leap to production into a path of stations with exit criteria, so pilots graduate.

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Evals Are the Product: The Test Suite That Decides Whether Your AI Survives
engineeringRecently Published

Evals Are the Product: The Test Suite That Decides Whether Your AI Survives

In AI the eval suite is the product — the only thing telling you whether a change helped or hurt. The Evaluation Pyramid: unit, capability, behavior, outcome.

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When the Model Is Wrong: Designing AI for the Failure You Know Is Coming
designRecently Published

When the Model Is Wrong: Designing AI for the Failure You Know Is Coming

A probabilistic system will be wrong in production. The Failure Ladder — prevent, detect, contain, recover, learn — designs the response, not just detection.

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