The Agentic Enterprise : Scaling AI, Controlling Costs and Redesigning Work

The conversation around AI is rapidly evolving.

For the past two years, most organisations have focused on experimentation. They have launched pilots, tested copilots, explored large language models and searched for high-value use cases. While many of these initiatives demonstrated technical potential, far fewer successfully transitioned into enterprise-scale adoption.

In this latest episode of Enterprise Tech Talk , I sit down with Amit Mudgal Founder and CEO of ClearWays AI to explore what it really takes to industrialise Agentic AI.

Our discussion moves beyond the hype to examine the practical realities facing technology and business leaders today. We explore why many organisations are experiencing "AI bill shock", how enterprises can establish AI FinOps disciplines, and why harness engineering may become a more important competitive differentiator than the AI models themselves.

We also unpack the engineering foundations required to scale agentic systems, including context management, memory architectures, orchestration patterns and governance models. Beyond technology, we discuss how AI is reshaping operating models, workforce structures and leadership expectations.

One of the most compelling themes from the conversation is that the future of AI may not be about replacing people. Instead, it is about eliminating low-value work and enabling employees to focus on judgment, innovation and business outcomes.

For leaders navigating the transition from AI experimentation to enterprise-wide adoption, this episode provides practical insights, strategic considerations and a realistic perspective on where the industry is heading.

Watch or listen to the full episode and join the conversation about what it means to build the Agentic Enterprise.

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