Core answer
Start here. This is the direct spoken answer to practice first.
Overview
A managed AI platform can remove infrastructure work, but it does not own the product's correctness or business rules.
A managed AI platform usually adds model discovery and deployment, capacity management, identity integration, networking options, usage accounting, monitoring, and managed services such as retrieval, evaluation, or guardrails. It gives teams a supported operating surface around inference. The application still owns authorization, task design, validation, user experience, and the decision to trust or reject an output.