Can You Trust Your QMS With Artificial Intelligence?

Before you put artificial intelligence (AI) to work in your QMS, there’s a bigger question to answer: should you?

AI is quickly becoming another tool in the quality professional’s toolbox. It can help draft documents, organize information, analyze data, and support everyday QMS activities. But just because AI can do something doesn’t mean it should.

In this session, Axeon’s expert auditor, Kim Dickerson-Barre’, takes a practical look at AI through the lens of your quality management system, focusing on two critical questions:

Where can AI help? Explore practical ways artificial intelligence can support QMS activities and make quality work more efficient. Where can AI hurt? Identify the risks of relying on artificial intelligence for documentation, decision-making, auditing, and other quality activities.

The goal isn’t to tell you to use AI everywhere or avoid it altogether. It’s to help you start recognizing where AI can add value and where it can introduce risk.

If you’re responsible for quality, auditing, compliance, documentation, or continuous improvement, this webinar will give you a practical starting point for thinking about AI and your QMS.

About the Host

Kim Dickerson-Barre brings 30+ years of experience leading quality systems in manufacturing environments, including ISO 9001, AS9100, and NADCAP compliance. She has managed system implementations, internal audit programs, and process improvements that drive real results, not just documentation.

Her experience across quality, operations, and aerospace manufacturing gives her a practical perspective on how tools like AI can be helpful as you approach them with caution.