#333 Adi Kuruganti: Why Your AI Pilot Is Failing and What It Takes to Reach Production

About this episode

Adi Kuruganti discusses the challenges of deploying agentic AI in enterprises and the importance of combining deterministic and agentic systems for successful automation.

Most enterprises are excited about agentic AI. But very few are actually deploying it in production. In this episode of Eye on AI, Craig Smith sits down with Adi Kuruganti, Chief AI and Development Officer at Automation Anywhere, to break down why agentic AI is so hard to get right in the enterprise and what it actually takes to move from a promising pilot to a mission-critical deployment. Adi explains why the future of enterprise automation is not agentic AI alone, but the combination of deterministic and agentic systems working together, and why companies that treat AI as a technology problem instead of a business outcomes problem are setting themselves up to fail. They dig into how Automation Anywhere is orchestrating agents across legacy systems, healthcare platforms, and financial services workflows, why governance and compliance are the first questions every enterprise asks, and how their Process Reasoning Engine is continuously improving agent performance using metadata from over 400 million running processes. The conversation also covers the real timeline to a fully autonomous enterprise, why the POC to production gap is the biggest failure point in enterprise AI today…

People in this episode

Host: Craig S. Smith

Guest: Adi Kuruganti

Topics covered

• agentic AI
• enterprise automation
• production deployment
• governance and compliance
• POC to production gap
• autonomous enterprise

Keywords

• agentic AI
• enterprise automation
• production deployment
• governance
• compliance
• Process Reasoning Engine
• autonomous enterprise
• POC
• metadata
• legacy systems

Mentioned in this episode

Organizations: Automation Anywhere, healthcare, financial services

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