Building an AI Agent is easy. Running one in production is not.

AI agents have moved beyond prototypes and proof of concepts. But while demos make autonomous AI look effortless, deploying agents in real enterprise environments is a different story.

In this episode of Visionary Voices by TO THE NEW, we sat down with Himani Gupta,  Associate Director, GenAI & Digital Transformation at TO THE NEW, to explore what it really takes to move AI agents from experimentation to production.

Together, they discuss:

What truly makes an AI system "agentic"
The biggest misconceptions created by AI demos
Why production failures are often silent rather than obvious
What separates production-ready agents from impressive prototypes
Why enterprise challenges are often systems problems—not AI problems
The economics of AI agents and measuring ROI
How organizations should think about governance, trust, and managing AI agents

Whether you're a CIO, CTO, AI leader, architect, or business decision-maker, this conversation offers practical insights into deploying AI agents that deliver measurable business outcomes, not just impressive demos.

About the Speaker

Himani Gupta

Himani Gupta is Associate Director, GenAI & Digital Transformation at TO THE NEW, driving AI-led delivery transformation, business growth, and enterprise solutioning. She leads GenAI adoption across delivery organizations and works with clients on enterprise AI opportunities across banking, insurance, automotive, media, and retail. Her experience also includes client consulting, proposal leadership, and scaling engineering programs to deliver measurable business outcomes.

Himani Gupta

Associate Director, GenAI & Digital Transformation