AI-Native Companies Run on Code: 15 Rules for Operators

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• Core argument: AI is eliminating the organisational scarcities (expensive engineering time, slow context-sharing, costly mistakes) that historically justified many company rules — those rules now need to be explicitly rewritten as machine-legible, enforceable directives rather than left as implicit cultural norms.
• Structural framework: four distinct objects need separate ownership — values, rules, runtime checks, and human appeals; enforcement follows a five-rung ladder (value → instruction → reminder → hard block → human-owned decision).
• Diagnostic worksheet: name the behaviour → identify the scarcity that originally justified the rule → assess whether that scarcity still exists → define a breakage metric if the rule is removed.
• Concrete example: “killing roadmaps” is offset by compensatory rules elsewhere in the system (via the “Meeting Challenger” tool and MCP server integration across calendar/repo/Slack); 15 rules total span speed, product, engineering, meetings, documentation, teamwork, design, and customer experience.
• Practical takeaway: audit existing company rules against AI’s new capability floor — determine which rules persist because the original scarcity is gone, then encode the survivors as enforceable, agent-legible constraints with explicit human override points.