  The intelligent Data Delivery Service (iDDS) has been developed to cope with
the huge increase of computing and storage resource usage in the coming LHC
data taking. iDDS has been designed to intelligently orchestrate workflow and
data management systems, decoupling data pre-processing, delivery, and main
processing in various workflows. It is an experiment-agnostic service around a
workflow-oriented structure to work with existing and emerging use cases in
ATLAS and other experiments. Here we will present the motivation for iDDS, its
design schema and architecture, use cases and current status, and plans for the
future.
