The authors take a two-part approach to discussing the design of adaptive digital and data architectures. First, they propose a way to design solutions that actively identify and address key uncertainties and concerns so that the right kinds of EA artifacts will emerge to answer key questions about user desirability, technical feasibility, and financial viability for the right people. Second, they share patterns and techniques that can be used to design and build digital and data architectures with a high level of flexibility and adaptability that can better support the changes in priorities that successful digital transformation efforts need to be able to steer.