Five-Step 'Ship Gate' Checklist Aims to Catch AI Feature Failures Before Launch

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A pre-deployment framework called 'Ship Gate' has been proposed to address a recurring pattern where AI features pass internal demos but break in production. The checklist covers five areas: threat modelling, data boundaries, evaluation sets, human override controls, and observability. A real-world case is cited where an AI email summariser invented a discount offer on its first day live, causing customer support issues that a basic gate could have prevented. The framework argues that most AI failures stem not from the underlying model but from skipping structured pre-launch checks in favour of demo-ready builds. Ship Gate is positioned as a minimal, afternoon-length review rather than a lengthy compliance exercise, designed to ensure AI features earn production deployment instead of learning from live customer mistakes.

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