Data teams that thrived in the last wave of Software as a Service (SaaS) platform scale weren’t the ones that chased hype. They were the ones that made a few smart decisions: They adopted cloud-first operations, made cost and capacity visible, and chose architectures that could quickly adapt to changing conditions.
As it turns out, those are exactly the same practices the agentic era now demands.
If you look at how data teams are managing their AI transition, a clear pattern emerges: The ones with firm control over performance and spend had…
