With more than 25 years of experience across real-time machine learning, distributed computing, high-availability systems, and enterprise AI, Ravi brings a deeply technical perspective to one of the biggest questions facing organizations today: How do we move AI agents from impressive demos to systems businesses can actually trust to do work?

We explore how enterprises can operationalize AI agents, why industrial systems of record are critical to agentic applications, and what organizations need to consider around context, security, evaluation, governance, and human oversight.

Key Highlights:

  • Agentic AI: Hype vs. Reality: Where enterprise AI agents are delivering value today — and where vendor promises are still ahead of what's realistically achievable.
  • From Copilots to AI Workers: What separates a conversational AI assistant from an agent capable of reasoning, taking action, and participating in real enterprise workflows.
  • Agents + Systems of Record: Why integrating AI agents with ERP and other operational systems is essential for reliable, context-aware decision-making.
  • Engineering for Reliability: Lessons from distributed computing, real-time analytics, and high-availability systems that today's agentic AI teams can't afford to ignore.
  • Security, Evaluation & Guardrails: How enterprises should approach permissions, observability, failure detection, governance, and human oversight as AI systems become increasingly autonomous.

🎧 Tune in to Episode 66 to hear Ravi Bulusu's perspective on moving beyond the agentic AI hype and building AI systems that are reliable, secure, and ready for the complexity of the real enterprise. Check out: https://theloops.io/ 

Be sure to mark your calendars for the annual ALD SF on Nov 5. Join us for the Enterprise Builder’s conference to hear from experts on how AI is shaping the enterprise AI. Apply to attend for FREE: https://ailovesdata.com/san-francisco/ 

Writer and Host: Anna Anisin

Produced, edited, and mixed by the Formulatedby Team

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