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What is agentic AI and how is it different from automation or AI workflows? As organisations move beyond AI pilots, a new question is emerging at the leadership and architecture level: Should this system follow a workflow… or should it make decisions on its own? In this episode of It's Data Habibi, we break down agentic AI vs dynamic workflows from an enterprise perspective, focusing on architecture, operations, governance, and real-world risk. We're joined by Vitalii Duk, the founder of Dynamiq and Luke Cann, the co-founder of HEMOdata. We explore questions like: 1. What is agentic AI, and how does it work? 2. What are AI agents, and how are they different from automation? 3. When should businesses use agentic AI instead of workflows? 4. What are the risks of autonomous AI in enterprise systems? 5. How do you govern AI agents and decision-making? 6. What guardrails are needed before deploying AI agents at scale? Rather than focusing on tools or demos, this conversation looks at how autonomous systems behave, who owns decisions, and where leaders should draw the line between efficiency and control. Learn more about HEMOdata here: https://www.hemodata.me/ #agenticai #autonomousai #aipodcast #aiknowledge #aiforbusiness #enterpriseai #aistrategy #aigovernance #datagovernance #aioperations