Insights

Insights

Plain-language essays on building, buying, running and measuring AI-native businesses, written for founders, operators and owners.

We believe good decisions about AI start with clear questions. These essays set out how we think, what we look for, and what we would ask before committing time or capital. They begin with the thesis, then move to diligence, economics, operations and people.

Thesis

What AI-native actually means

A narrow, testable definition of AI-native, and three questions that separate it from a product with AI features.

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Thesis

Why AI is the foundation, not a layer

Why companies designed around AI from the start tend to differ in kind, not degree, from companies that add it later.

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Diligence

Evaluating an AI business in diligence

A practical checklist for testing what an AI company really does, what it costs to run, and what could go wrong.

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Economics

The unit economics of AI products

Why inference cost, review time and pricing design decide gross margin, with a worked hypothetical.

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Strategy

Data moats: what is real and what is hype

Four questions that separate durable data advantage from a large pile of data.

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Strategy

Build, buy or partner for AI models

A decision framework for choosing between training your own models, renting from a provider, or partnering.

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Operations

AI in private equity operations

Where AI tends to help owned businesses first: back office, pricing and service delivery, and how to sequence the work.

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Operations

The first 100 days after an AI rollout

What operators should expect after launch, and a day-by-day plan for stabilizing, measuring and improving.

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Talent

Hiring the first AI team in a non-tech company

Who to hire first, where to place them, and what to avoid when an established company starts building AI capability.

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Measurement

Measuring AI ROI without vanity metrics

How to measure the value of AI work with baselines, net cost and outcomes customers would pay for.

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These articles are for general information only and are not investment, legal, tax or accounting advice.

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