Every launch platform on the market makes the same silent assumption: that your data is ready for it. Most of the time it isn't, and that gap is where launches go wrong. The short version: 68% of pharma CDIOs told ZS that neglecting data quality and governance early is why AI initiatives fail. The post-mortem on a stalled launch-AI project almost never blames the algorithm. Everyone will sell you the agent. Almost no one will make your launch ready to use it. This isn't a hun

Every big firm is now selling the same pharma launch. Agentic. Sense-and-respond. "Launch as a learning system." They are all describing the same thing, and none of them is in the room when it fails. The short version: The big-firm launch point of view has converged, and the platforms behind it are real. Launches still drift anyway, because the gap was never structure. It was control. The question isn't which agentic platform to buy. It's who holds the loop closed when the ma