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At H&M, we aim to amplify all core operational decisions using AI by 2025. To realize the ambition, we need to operationalize hundreds of AI applications through distributed AI teams across the globe. We are rolling out several end-to-end data science platform-as-a-product to do this efficiently. workbench.ai is such a product that enables quick data and/or AI exploration and rollout of minimal solution to production for early-stage teams. In this talk, we present how we designed and implemented the platform product. We also share the lessons we learned as we continuously tried to reduce the delivery pain and cognitive load of the H&M AI teams.