The short answer
Do not start AI initiatives before organizing data because models and intelligent services need consistent definitions, trusted sources, and quality oversight; without them, errors rise and executive trust falls.
What precedes an AI tool
Define the decision or process to improve, the required data and its owner, integration across systems, and risk and exception boundaries.
The role of data architecture
Data architecture unifies definitions, flow, and quality. A warehouse may help later, but it does not replace ownership and a conceptual model.
AI on conflicting data multiplies noise.
