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

"AI predicts launch success" is the line everyone is selling right now. It also happens to be pointed at the easier half of the problem. The short version: Predictive launch tracking is real, and the people running pharma's biggest AI programs are still careful about the claim. Prediction works when a problem holds still, and a launch doesn't. The ROI lives in response time, not in the forecast, so buy the sensor and build the reflexes. IQVIA describes active launch tracking