Dear Kenneth,

Generative AI is rapidly entering the regulatory conversation.

For medtech organizations, the potential is clear — but in a highly regulated environment, outputs must be accurate, consistent, and defensible.

This white paper evaluates how leading AI models perform across a range of regulatory tasks. The findings show that while AI can support certain activities, performance remains inconsistent — introducing risk if outputs are not carefully validated.

It offers a grounded perspective for regulatory leaders assessing how — and where — AI can be applied in practice.

In this white paper, you’ll learn:

• How AI performs across different regulatory task types
• Where variability and inconsistency introduce potential risk
• Why AI cannot replace human regulatory expertise
• Why “human-in-the-loop” approaches remain essential

Download the whitepaper →