AI failures in commerce stem from architectural problems, not algorithmic ones. Composable architecture—built on modular components, API-first design, and event-driven infrastructure—is the prerequisite for effective AI integration. Monolithic platforms structurally block AI potential through tight coupling, slow release cycles, and restricted data access. Key principles include treating AI as independent, decoupled services rather than embedded features, enabling safe A/B testing and hot-swapping of models, and enforcing strong API governance so autonomous agents can reliably interact with commerce systems. The article also acknowledges that composable architecture isn't necessary for every business—small catalogs with no personalization ambitions may not need the added complexity.
