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How to choose the way you build with AI

Balanced, category-level comparisons — not sales pitches. Each one lays out the real trade-offs and says plainly when the other option is the right call.

Comparisons
CompareBoutique vs big-firm AI consultingAn honest comparison of boutique applied-AI studios and large generalist consulting firms: team seniority, speed to production, cost model, and when each is the right call.
CompareBuild vs buy for AI capabilitiesWhen should you build a custom AI system versus buy an off-the-shelf product? An honest comparison of control, speed, cost, and defensibility — and when buying is the smarter move.
CompareIn-house AI team vs an AI consultancyHire and build an in-house AI team, or engage an AI consultancy? An honest comparison of speed, hiring risk, cost, and capability transfer — and why it's usually a sequence, not a choice.
CompareAI consulting vs traditional IT consultingHow applied-AI consulting differs from traditional IT consulting and staff augmentation: the unit of work, how success is measured, the team shape, and when each model fits.
CompareGeneralist vs specialist AI consultingShould you hire a generalist consultancy or an AI specialist? An honest comparison of depth, range, risk, and cost — and when a broad partner is genuinely the better choice.
CompareStrategy deck vs a shipped systemA strategy deck or a working system in production? An honest comparison of what each delivers, where each adds value, and why a deck without a path to build often stalls.
CompareRAG vs fine-tuningAn honest comparison of retrieval-augmented generation and fine-tuning for adapting a language model to your needs — what each actually changes, when each wins, and why they are often combined.

Not sure which model fits your problem?

Tell us the metric you need to move. We'll tell you honestly whether to build, buy, hire, or bring in a partner — and what we'd do if it were ours.

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