About the Let’s Talk AI Series

Let’s Talk AI is the newest branch of NPG’s Let’s Talk series, bringing together industry leaders and NPG experts to explore how AI can be responsibly used for innovation and automation in regulated life sciences environments. The series will focus on practical advice, not hype, and be valuable to VPs and industry leaders.

What leaders should expect of any AI initiative in their organization.

By now, most life sciences leaders know AI is coming to their function. What's harder to see is what "doing it right" actually looks like — the decisions, documentation, and discipline that separate an AI tool a regulator can defend from one that quietly creates risk.

In Episode 3 of Let's Talk AI, NPG's Christine Bonifield and Taylor Bean walk through a real case study: how a team took an idea, defined what they actually needed, wrote the requirements, tested against them, and designed the human oversight that made the tool trustworthy in a regulated environment. Along the way, they'll tackle the question every AI leader eventually faces — how do you validate a tool that feels like a black box, and how do you know when the outputs are accurate and repeatable? 

Christine and Taylor will also share where the same discipline applies to the AI initiatives now landing on leadership's desks — from labeling to complaints handling. This isn't a framework talk, and it isn't a product pitch. You will leave with a sharper sense of what to ask, what to require, and what to focus on, before your organization commits to an AI path. 

Learning Objectives

By the end of this session, you'll understand: 

1. Why the requirements are the most important part of an AI initiative. How clearly defining the need — before anyone starts building — shapes what AI can and can't do to meet your need(s), and why this is the step that most often gets skipped in regulated organizations. 
2. Why validation for AI is different, and why leaders need to understand that difference. How the discipline of validation still applies, why some AI tools resist validation, and what reproducibility, boundaries, and testable outputs mean in practice. 
3. Why human oversight — not just human-in-the-loop — is the design decision that makes AI defensible. Why AI is a tool serving your team, not the other way around, and how to think about which humans, where in the workflow, and with what authority make an AI implementation trustworthy. 

Who Should Attend

Life sciences leaders who have been asked to "do something with AI" and need to know what responsible implementation requires — before signing an SOW, kicking off a pilot, or approving a vendor. Especially valuable for: 

• VPs and Directors of Regulatory Affairs, Quality, and Compliance 
• Global Labeling and Labeling Operations leaders 
• Digital Transformation, AI Program, and Innovation leaders 
• Validation, CSV, and QMS owners 

Speakers 

Christine Bonifield 

Christine has spent six-plus years building and operating AI in regulated environments at NPG, including the human-oversight AI solution NPG uses in label verification. She has been the featured voice across the Let's Talk AI series and works with client leaders on AI governance, validation, and integration into existing systems. 

Taylor Bean 

Taylor is an Engagement Manager on NPG's Digital Transformation and Labeling team and one of the internal SMEs behind NPG's AI development work. He works directly with life sciences clients on labeling operations, AI-supported verification workflows, and digital transformation projects involving software deployments and data migration. 

Network Partners Group experts will share real-world perspectives on how to help Life Sciences organizations implement AI responsibly, efficiently, and compliantly while balancing innovation, operational excellence, and regulatory expectations.