Next-Gen GxP Workforce: Scaling AI Without Compliance Risk

AI and automation rarely fail in life sciences because of the technology. They fail because organizations are not prepared to operate them. In this highlight from Session 4 of the USDM Life Sciences Summit 2026, panelists discuss what it takes to enable the next-generation GxP workforce: aligning people, process, governance, operating models, and AI adoption so transformation can scale without increasing compliance risk. As regulated organizations face widening GxP skill gaps, rising expectations for AI adoption, and growing pressure to modernize delivery models, success depends on more than tools. It requires workforce enablement, role-based capability building, executive alignment, and inspection-ready ways of working. Topics covered include: The shift from talent acquisition to workforce enablement in GxP and AI programs Upskilling and role-based capabilities for AI-enabled quality management Organizational change management for regulated AI adoption Governance committees, accountability models, and cross-functional decision-making Operating models that align people, process, platforms, and compliance How life sciences organizations can scale AI responsibly in 2026 Panelists: Kevin Brown, CEO, USDM Life Sciences Lisa Fry, Senior Director of Sales, USDM Life Sciences Sameera Moinpour, Global VP, Customer Success and Services, WorkBoard Inc. Mark Ohrvall, Vice President of Delivery Operations, USDM Life Sciences Watch the full USDM Life Sciences Summit 2026: https://www.usdm.com/resources/webina... Learn more about USDM Life Sciences: https://www.usdm.com/ Subscribe for more practical guidance on AI governance, GxP compliance, validation, digital quality, automation, and workforce transformation in life sciences. 00:00 Introduction — The Biggest Constraint in 2026 Is Not the Technology [00:53] Business Transformation Over Technology — 76% Higher AI Adoption with OCM [01:23] Building the Right Governance Committee — Innovators and Controllers [02:29] Small Teams, Big Change — Centering on Business Outcomes [03:22] Where Is Your Organization in the AI Journey? [03:35] Picking the Right AI Initiatives to Measure and Highlight [05:17] 800 Million Weekly Users — The Accessibility of AI and the Skills Gap [06:11] Continuous Transformation — From Cloud to AI [08:01] Key Takeaways — Operating Models Drive Transformation, Not Technology