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Organiser: MSL Mastery

Author(s): Patrina Pellett & Sarah Snyder 

Enterprise AI training has a tough job.

It has to reach everyone: Legal, Commercial, Finance, HR, Medical Affairs, the person who thinks AI is magic, the person who thinks AI is dangerous, and the person secretly building workflows that save 10 hrs/week while pretending they “just played around a little.”

So naturally, enterprise AI training starts broad. It explains the tools, covers governance, teaches responsible use, and reminds everyone not to upload confidential information into random AI platforms because, yes, apparently, we still need to say that out loud.

That foundation matters. Medical Affairs needs to understand the rules, risks, and guardrails around AI. But a foundation is not the same thing as capability, and this is where enterprise AI training starts to fall short.

Generic AI training rarely answers the question Medical Affairs professionals actually need answered:

Where does AI fit in my real work?

In this article, we’ll cover why enterprise AI training is failing Medical Affairs, what teams actually need to build practical AI capability, and how to move from AI awareness to measurable Medical Affairs impact.

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