AI Agents: From Hype to Enterprise Value

With Ilya Meyzin — SVP, Head of AI Solutions at Dun & Bradstreet Are AI agents genuinely the next major shift in enterprise AI or are many still sophisticated workflows wrapped around LLMs? In this episode, Ben Parker speaks with Ilya Meyzin about what AI agents can actually do today and what it takes to turn experimentation into real business value. Ilya explores how agents differ from traditional AI systems, where the strongest use cases are emerging, and why many promising pilots struggle when organisations attempt to scale them. The conversation also examines data quality, enterprise architecture, cross-functional collaboration and whether AI agents will become a fundamental part of how organisations operate. You’ll hear practical insights on: What AI agents can do that traditional LLMs cannot How to identify genuinely valuable agentic use cases Why AI agent pilots struggle to scale The difference between orchestration and genuine intelligence Why data quality remains critical How teams need to collaborate to deploy agents successfully Whether agents will become embedded in enterprise architecture Chapters 00:00 Introduction 01:14 Ilya's career and leadership journey 14:45 Balancing technical expertise with business understanding 23:18 What AI agents actually are 28:40 Where AI agents create real value 32:14 Building and scaling agents in the enterprise 37:21 Why data quality matters 45:12 The future of AI agents Thank you for listening!