Q&A: George Kwiecinski on How AI Is Reshaping FDA Regulatory Compliance

At INTERPHEX 2026, PharmTech connected with George Kwiecinski, CEO and co-founder of Global Key Solutions Corp, to discuss FDA GMP inspection trends, supplier oversight gaps, and the rising regulatory scrutiny of AI in pharma compliance.

Watch the full video interview with George Kwiecinski:
George Kwiecinski on Why Now Is the Time to Reassess Your GMP Audit Strategy

PT: How Should Quality and Compliance Teams Prioritize Foreign Suppliers for Audit or Reinspection when Inspection Coverage Is Limited?

Kwiecinski: It comes down to resources and organizational capacity. Whether you're inspecting an internal facility or auditing a supplier, most organizations are working within real constraints. The question becomes: are you procuring the right tools and technology to make sound assessments? Are you selecting suppliers through a documented, demonstrable process? These aren't just best practices, they're expectations. With the QMSR changes affecting both medical devices and the FDA's ability to scrutinize internal audit documentation, this has become a hot-button issue. Organizations need to take a second look at how those processes are being handled and reprioritize accordingly. The good news is that tech stacks have improved significantly for most workflows, so there's really no excuse not to reassess.

What's Your Outlook on Compliance Risk in Global Supply Chains?

Honestly, I don't think the fundamental risk picture changes dramatically. The top citation areas will continue to revolve around the quality unit, drug efficacy and safety standards, and how those standards are being enforced across vendors. Those core pillars aren't going anywhere. What will shift is the context around them, especially as new technologies and practices become more common in the industry.

How can AI-powered Regulatory Intelligence Improve Oversight without Providing False Positives or Incomplete Data?

Yes, this is something we've been tracking closely. One trend that really made waves recently was that an AI citation appearing in an FDA warning letter. Essentially, a company had used AI to respond to the FDA and generate some of their documentation, and that usage was called out directly. Now, I think this kind of citation will become more frequent over time. It may not always be flagged explicitly, but AI use in regulatory processes is clearly on the FDA's radar.

We put together a white paper recently looking at how the FDA has used ‘AI’ as a keyword across its correspondence and documentation over the last 3-4 years. What we found was telling: there are now 5 distinct regulatory correspondences specifically referencing AI, and over 20 FDA guidance and documents that mention it, with the frequency increasing steadily over time. That trajectory tells us that AI is becoming a meaningful part of the agency's regulatory purview, and companies need to start thinking about what that means for them.

What Changes Do You Recommend to Strengthen Foreign Supplier Governance when API and Finished-dose Sourcing Is Heavily Concentrated Overseas?

The first step is just awareness, understanding that these changes are happening and that it's accelerating. From there, it's about looking at your own tech stack and honestly evaluating how your organization is managing AI-related risk. If your organization is using AI tools in any part of its regulatory or quality workflow, you need to be thoughtful about how those decisions are documented and defended.

As for whether companies should invest in new AI tools, I think that's a legitimate conversation to have, but the justification has to be grounded in business reality. If a tool can demonstrably save cost or drive profit, and you can implement it in a safe, controlled way, then pursuing it makes sense. What's going to matter most though, is the risk-based approach: how are you accounting for AI-assisted or AI-driven decisions within your processes? That's exactly the kind of thing that's subject to FDA scrutiny right now.