As enterprises move from generative AI (GenAI) experimentation toward scalable, production-ready capabilities, leaders are being forced to rethink how AI fits into operating models, how it is adopted by employees, and how trust is established across the organization. The shift is no longer about proving technical feasibility. It is about aligning data quality, governance, and everyday usage to support sustainable enterprise-wide impact.Johnson & Johnson’s (J&J) Global Services organization plays a central role in operational transformation by delivering scalable capabilities across data, digital solutions, and business services to various stakeholders.In Part 1 of this three-part series, Ajay Anand, SVP of Strategic Solutions and Commercial Services, Global Services at J&J, frames GenAI as a stakeholder-first transformation discipline that only scales when it is grounded in high-quality data, governed content, deep domain understanding, and consistent adoption across the enterprise.In this second installment, Anand continues the conversation with EY’s Kevin Barboza on how Global Services balances near-term GenAI delivery with longer-term agentic AI strategy, how enterprise adoption is driven through structured change management, and why AI governance, accessibility, and disciplined data management form the foundation of trust as organizations prepare to scale AI responsibly into 2026.

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