Your best launch plan has a shelf life of about three months. That is how long a single tactic has traditionally taken to turn around, inside a window that runs six months to a year. Lou Pillai on what changes when a launch runs as a closed loop rather than a static map. The stakes show up at patient access, where a two-week wait starts costing you prescribers. That three months is the honest number: rework the content, re-run the review, get it back into the field. Teams can

The entire industry agrees on where AI belongs first in a launch. Pfizer already built it, and named it after the man who founded the company. The short version: • Pfizer's Charlie is the clearest real-world proof of the MLR consensus, and it works because it routes risk to humans faster rather than deciding anything itself. • It's the lowest-regret AI win in launch, and worth building. • But the pitch assumes the review was the bottleneck, and the real delay usually sits ups

That gap, between knowing what good looks like and being able to act while the market is still moving, is what I wanted to put to someone who has lived it. Lou has spent three decades in commercialization and has since sat on the other side of the table, advising the teams making these calls. Not a vendor with a platform to sell. An operator who has watched launches drift in real time and can tell you where and why. My thanks to him for a genuinely candid hour, and for being

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

From Ivy Tree Advisors Pharma's commercial and customer experience landscape is undergoing its most significant transformation in a generation. "Better CX" in pharma means less friction, more trustworthy information, and faster time to therapy not better marketing. The imperative has shifted from "should we use AI?" to "are we using it to solve the right problems, in the right workflows, for the right people?" EXECUTIVE SUMMARY 1. AI driven Next Best Action is delivering me

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