Zero-Base Operations

Zero-Base Operations is Simon Beauloye's framework for building businesses by justifying every process, tool, and hire from zero, with AI as the foundation rather than an add-on. The name borrows from zero-based budgeting; the principle is the same. Build only what's needed, replace the rest with AI infrastructure, and stay profitable throughout.

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In depth

Zero-based budgeting forces every line in the budget to be justified from zero each cycle, instead of inheriting last year's number with a percentage adjustment. Zero-Base Operations applies the same logic one layer up: every process, every role, every tool, every subscription is justified from zero against the question "would we build this today, with AI as part of the foundation?" The honest answer is usually a smaller, flatter, more operator-heavy company than the one currently in place.

The framework has four steps. Start profitable. Start with the idea, refine with AI. AI as Operating System. Your data is the moat. The full method, including the origin story from bootstrapping mOOnshot digital to over $80M in cumulative sales without external capital and the rebuild from a fifteen-person writing team to a small team of operators, is documented in the canonical essay linked below. This entry is the definition; the essay is the working manual.

Examples

  • Replacing a fifteen-person writing team with a small team of operators managing an AI infrastructure for research, writing, editorial review, SEO, GEO, and programming, after asking the zero-base question "if we were starting this publisher today, with AI as part of the foundation, what would we actually build?"
  • Refusing to add a SaaS subscription when an operator with Claude Code can build the same internal tool in an afternoon, because the zero-base question is "would we buy this if we were starting today, given that the cost of building exactly what we need has collapsed?"

Usage notes

Zero-Base Operations is not a synonym for cost-cutting. Cost-cutting starts with the existing cost base and trims; Zero-Base Operations starts at zero and only adds back what would be built today. The two often produce similar headcount outcomes, but the discipline is different and the resulting organisation looks different on the inside.

Also known as

  • zero-base operations
  • zero base operations
  • zero-based operations

These aliases are what the site's build-time auto-linker matches against to cross-reference this term across the FAQ and machine-readable endpoints.

First appeared in

Bootstrapping Zero-Base Operations: How to build a bootstrapped business with AI as the operating system

Referenced in

Related terms

  • AI as Operating System — AI as Operating System is the architectural stance that AI should be the foundation a business is built on, not a tool bolted onto existing workflows.
  • Data as the moat — Data as the moat is the claim that, once the underlying AI models commoditise, the durable competitive advantage in any AI-powered business is the unique data, domain expertise, and perspective fed into those models.
  • Profit-first, always — Simon's framing for the bootstrapped operating discipline behind mOOnshot digital: every venture must be profitable from day one, with no external capital and 90%+ margins as the floor.
  • AI-native publishing — A publishing operating model where AI agents handle research, drafting, editorial review, SEO/GEO, and programming as default, with human operators overseeing strategy and judgement calls.

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