The integration of generative AI and intelligent agents is fundamentally transforming how modern enterprises manage workflows, process data, and make strategic decisions. In the third part of this exclusive interview series, Data Society Group Vice President of AI and Data Advisory Donna Medeiros sits down with Procter & Gamble Vice President of Enterprise AI Jeff Goldman. They discuss the critical operational frameworks required to scale these technologies successfully across a global business.

Goldman shares how Procter & Gamble utilizes an internal program to accelerate model development and deployment. He highlights the dramatic shift in AI capability over the past year, noting that advanced tools are now essential for maintaining market competitiveness. To achieve sustained business impact, Goldman outlines several foundational pillars for AI leaders:

• Always begin by identifying and solving a specific business problem.
• Implement a clear and consistent strategy for measurement.
• Secure strong top-down and bottom-up sponsorship across the organization.
• Co-locate technical talent directly within business teams to ensure alignment.

A key focus of the discussion centers on mitigating model risk. Goldman explains that Procter & Gamble established a dedicated model risk organization early in its journey to catch critical formula errors before production. This oversight becomes even more vital in the age of agentic AI because compounding errors can occur as multiple autonomous agents interact. Finally, Goldman emphasizes the importance of balancing rapid deployment with continuous innovation to maintain algorithmic superiority.

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