Combination Product Commercialization: Why the Data Architecture Decision Cannot Wait for Clearance
For a connected device, the customer, the data, and the trust are commercial decisions. Make them before clearance, or they get made for you.
Writing
I write about life sciences commercialization from the operator's seat. AI is how the work is changing.
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Practitioner-level. No trend-watching.
What I write about
Click a topic to switchFor a connected device, the customer, the data, and the trust are commercial decisions. Make them before clearance, or they get made for you.
Pharma measures every molecule against a control. Almost no AI gets the same. Six systems here do.
Launch PlaybookMost teams running multi-market launch think the hard problem is localization. It is not. The hard part is orchestration: building an operating model eleven markets can actually run while still producing one brand. Six elements make it work, and most teams only build two.
Most pharma teams are using AI. Fewer have made it part of how their commercial operation actually runs. That distinction is structural, not philosophical. Here is what it looked like when I built it at Novartis.
AI Inside Commercial OperationsInnovation in healthcare does not begin with a scientific breakthrough. It begins with trust. And trust is built through commercial
Launch PlaybookMost people see the final campaign, the brand on pharmacy shelves, the press release. The launch is the visible part.
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Not on a schedule. Only when I have something worth reading.