AI Adoption in Medical Affairs: What High-Performing Teams Do Differently

Nick Taylor has built AI tools that 30,000 people actually use, and he didn't start with a roadmap. In this episode of OnPoint: The Medical Excellence Podcast, Scott Thompson sits down with Nick, Head of IT Innovation at Gilead Sciences, to unpack what real enterprise AI adoption looks like inside a regulated pharma organization.

Scott co-facilitated the AI workshops with Nick that inspired this conversation. Nick has led Microsoft Copilot deployment across Gilead, built an internal AI assistant (Gilead Sciences) now used by nearly 30,000 employees, and spent years navigating the compliance, security, and change management realities that most AI conversations skip. The two walk through Nick's four-level AI maturity curve, a framework describing how organizations progress from individual productivity tools through shared team agents to enterprise-grade, regulated use cases, and what it actually takes to move up that curve rather than stall at level one. If you're trying to figure out where your organization sits on that curve, this is where to start.

Key Takeaways:

• Most teams are stuck at level one without realizing it. Nick's maturity curve runs from personal productivity tools and custom instructions through shared team agents to enterprise-grade, regulated deployment, and most organizations plateau early.
• Scaling AI pilots is the industry's real bottleneck, not building them. ZS's 2026 CDIO research found only 40% of AI pilots at pharma and biotech companies reach scaled deployment, a gap Gilead's Genie rollout to nearly 30,000 users stands out against.
• Prompting is a learnable skill, not a fixed talent. Nick uses the GCSE framework (Goal, Context, Source, Expectations), adapted from Microsoft, to help people structure prompts that consistently produce better outputs.
• Governance in a regulated environment starts with data hygiene. From SharePoint permissions to the line between what an individual can build and what needs an architecture review, Nick walks through what pharma AI governance actually requires before scaling.
• Education beats restriction, at least for now. Gilead's approach to the tension between democratizing AI access and maintaining control leans toward building a culture of AI champions rather than locking tools down.

Resources Mentioned

GCSE Framework (Goal, Context, Source, Expectations) by Microsoft, adapted by Nick Taylor: a structure for writing prompts that produce more consistent, useful outputs, discussed in the episode's segment on prompting as a skill.

About Our Guest

Nick Taylor is Head of IT Innovation Lab at Gilead Sciences. He leads AI product management and innovation at Gilead, where he built and deployed Genie, an enterprise AI navigation tool used by nearly 30,000 employees. He led Gilead's Microsoft Copilot pilot, has built dozens of purpose-built AI agents for internal use, and was recognized as Gilead's inaugural CFO Innovation Champion.

Connect with Nick on LinkedIn: https://www.linkedin.com/in/ntaylornc

FAQ

What is the GCSE framework for AI prompting?
GCSE stands for Goal, Context, Source, and Expectations. Nick Taylor adapted it from Microsoft as a structure for writing prompts that consistently produce useful outputs, treating prompting as a skill that can be taught rather than an intuitive talent.

What are the four levels of AI maturity Nick Taylor describes?
The curve runs from personal productivity tools and custom instructions, to shared team agents, to enterprise-grade and regulated use cases. Most organizations plateau at the first level without realizing it.

How common is it for AI pilots in pharma to actually scale?
ZS's 2026 CDIO research found only 40% of AI pilots at pharma and biotech companies reach scaled deployment, underscoring how uncommon Gilead's enterprise-wide Genie rollout is within the industry.

How is Gilead governing enterprise AI in a regulated environment?
Nick describes governance work spanning data privacy misconceptions, SharePoint hygiene, and the distinction between what an individual employee can build versus what requires a formal architecture review.

Curious how this applies to your organization? Let's talk.

About OnPoint: The Medical Excellence Podcast

OnPoint: The Medical Excellence Podcast delivers insightful conversations on the most pressing issues facing top Medical Affairs professionals. Listen to stay ahead of industry trends and be inspired by leaders shaping the future of Medical Affairs.

Find more episodes on our OnPoint YouTube channel.