What does it take to build AI that enterprises can actually trust? That's the question I explored with Nirankush "Kush" Panchbhai, Senior Vice President of Platform Fundamentals at ServiceNow, in a conversation about AI governance, human-centered design, and how the company's AI Control Tower is reshaping enterprise adoption.

Kush describes the AI Control Tower as an "air traffic controller" for AI agents, a central command center that provides visibility, accountability, and governance across every part of an organization's AI ecosystem. It embeds compliance, legal, and risk workflows directly into the development process, replacing endless approval cycles with automated guardrails that accelerate innovation rather than slow it down. The result is a system where humans remain firmly in control, supported by transparent, explainable AI that acts as a teammate rather than a tool.

We also discuss how ServiceNow is helping enterprises move beyond the "POC palooza" of pilot projects that never scale. By treating AI agents as members of a digital workforce—with performance tracking, retraining, and measurable ROI—companies can finally connect investment to real outcomes. Governance, in this context, isn't a constraint; it's a catalyst for confidence and adoption.

At its core, ServiceNow's philosophy is about taking the work out of work, not the human out of work. From password resets to process automation, AI is freeing employees to focus on creative, high-value problem-solving while building trust through transparency and accountability.

As organizations begin managing both human and digital workforces, one question lingers: can AI governance truly become the accelerator that turns trust into enterprise-scale transformation? And what does it take to ensure AI always serves people, not the other way around? Share your thoughts after the episode.