Deep-Dive Into Agentic Workflows, w/ Cognizant’s Head of AI
Deep dive into AI agents and agentic workflows for enterprise applications.
Guest
Babak Hodjat
Head of AI, Cognizant
Babak Hodjat is head of AI at Cognizant, where he leads work on applied artificial intelligence and enterprise-scale agent systems. He is a longtime AI researcher and entrepreneur whose background includes natural-language technology, distributed intelligence, and the engineering of systems intended to operate reliably in complex workflows.
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What happens when software stops just “chatting” and starts acting in the real world, across real workflows, with real consequences?
In this episode of AI-Curious, the Head of AI at Cognizant goes deep on AI agents and agentic workflows: what they are, why enterprises are investing heavily, and what it actually takes to make agent systems reliable and safe at scale.
We unpack what separates an AI agent from a traditional chatbot, why “agency” changes the stakes, and how multi-agent systems can be designed to reduce risk instead of amplifying it.
We also explore concrete enterprise use cases, including agent hierarchies that coordinate across complex systems (like networks, utilities, and other operations), plus how “agentic process automation” builds on older automation models while adapting to unexpected edge cases.
Finally, we zoom out to the future of work: which tasks get augmented first, why disruption is happening faster than most forecasts, and how trust in AI systems may shift over the next several years.