Pharma Preparing for Commercialization
Managing the transition from a clinical-stage company to a commercial company is one of the most exciting and challenging times a Pharma or Biotech company has the privilege of experiencing. But it doesn't come without great planning and a little bit of luck.
One of the most fun periods in a biotech company’s life is moving from a clinical-stage organization to a company preparing for commercialization.
I’ve been through it before, and it’s easy to underestimate how much changes in a relatively short period of time, especially for an IT function.
In the beginning, most resources are focused on science, clinical development, regulatory activities, and preserving runway. Teams are relatively small, communication is informal, and many processes exist because people know each other and can simply walk down the hall to solve a problem.
Then, with a lot of hard work and little bit of luck, commercialization becomes a possibility.
Now you are starting to hire and build new functions rapidly:
• Commercial Operations • Medical Affairs • Market Access • Patient Services • Marketing • Pharmacovigilance • Compliance • Finance and Internal Controls
Headcount begins to grow quickly. New leaders arrive from larger organizations. New systems are introduced. Expectations around data, reporting, controls, and cybersecurity increase dramatically.
This is where I’ve often seen technology become either an enabler or a bottleneck. The instinct is often to start buying systems.
CRM. Data warehouses. Analytics platforms. Patient services solutions. New finance tools.
Those investments are important, but in my experience the most important work happens before the software.
Technology leaders need to help create the operating foundation that allows growth to happen without creating chaos. That means establishing governance before complexity arrives. Building trusted data before analytics becomes mission critical. Creating scalable processes before headcount doubles.
Making sure IT is viewed as a business partner rather than a help desk. And increasingly, it means preparing the organization for AI.
AI is only as effective as the quality of the data, processes, and governance behind it. The same lesson applies to commercialization. Companies that build strong foundations can leverage automation and AI to scale faster and make better decisions. Companies that don’t often find themselves spending years cleaning up technical debt and inconsistent data.
The technology decisions made during the 12–24 months before commercialization often shape how effectively a company can operate for years afterward.
It’s one of the most challenging—and rewarding—stages in a company’s evolution.
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