Keith McFarlane CTO At Globality On Architecting AI-First Enterprises

Keith McFarlane, CTO at Globality, shares how agentic AI, trust, and internal systems design are shaping the future of AI-first enterprise platforms.

AI has moved beyond just producing outputs—it’s now about intelligent systems that can think, plan, and earn trust across every layer of the enterprise.

In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief, speaks with Keith McFarlane, Chief Technology Officer at Globality. With a career spanning leadership roles at Oracle, LiveOps, and now Globality, Keith provides a behind-the-scenes look into how enterprise platforms are being reimagined in the age of AI-native transformation.

Keith unpacks the foundational principles behind Globality’s platform—where his team is pioneering the use of agentic AI frameworks capable of autonomous decision-making, contextual planning, and execution. He emphasizes that while intelligence can be engineered, building trust into these systems is the real challenge.

In fact, in the full episode on TechDogs, Keith shares how purpose-built internal tools gave Globality the agility, speed, and control they needed—something off-the-shelf vendors couldn’t match.

Key Topics Covered:

• What agentic AI really is—and how to deploy it with the right controls

• Embedding reasoning and context-awareness into enterprise workflows

• Why trust—not model performance—is AI’s biggest hurdle

• How CTOs can design for scalability, autonomy, and governance simultaneously

• Lessons from building robust internal systems at Globality at lightning speed

Whether you’re scaling enterprise tech, initiating AI strategies, or rethinking how platforms should be built—this conversation offers a practical roadmap for creating AI-first systems with real-world impact.

Keith also discusses the realities of enterprise AI adoption, from navigating infosec challenges to empowering engineers in a world increasingly shaped by autonomous systems. He shares insights into when to build in-house versus buy third-party tools, how to stay ahead of both present needs and future possibilities, and what it takes to instill an “AI-first” mindset across the organization.