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

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, and what companies that wait too long risk losing to competitors who started the journey earlier.

If you want to understand where enterprise AI actually stands today and what it takes to deploy it responsibly at scale, this episode gives you a clear and grounded perspective.

Subscribe for more conversations with the people building the future of AI and emerging technology.

Stay Updated:

Craig Smith on X: https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Why Enterprises Are Struggling With Agentic AI

(02:39) What Automation Anywhere Does and the APA Category Explained

(08:01) Deterministic vs Agentic AI: Why You Need Both

(10:59) How Human in the Loop Works in Enterprise AI

(17:16) The Mozart Orchestrator and Process Reasoning Engine

(23:50) How AI Is Upgrading and Replacing Classic RPA

(27:31) How Automation Anywhere Works With Enterprise Customers

(31:53) The Biggest Challenges of Scaling Agentic AI

(41:10) The OpenAI Partnership and What It Means

(47:06) Training Staff and Building AI Literacy at Scale

(51:39) Staying Close to Customers as the Technology Shifts

(53:17) Is the Autonomous Enterprise Actually Coming

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(352)

More Customers Chose the AI Agent Than Anyone Expected | Tom Chen, Aircall

Every time you hit a phone tree or a chatbot with canned answers, you're experiencing the gap between what AI can already do and what most companies are still delivering. Craig Smith sits down with To...

4 Juni 56min

Why the Future of AI Isn't Just Bigger Models. It's Models That Evolve | Risto Miikkulainen of Cognizant

Most AI systems follow a gradient, a mathematical slope that tells them exactly how to improve, step by step, toward a known goal. Neuroevolution doesn't follow any gradient. Instead, it runs hundreds...

2 Juni 1h 4min

How AI Is Reinventing Elder Care | Chia-Lin Simmons of LogicMark

One in four people over 65 will experience a fall, and for most of them, the technology designed to help is a device that hasn't meaningfully changed since the 1980s. Chia-Lin Simmons, CEO of LogicMar...

1 Juni 53min

The App of the Future Is Voice — Not a Screen. Mitel's CTO Luiz Domingos Explains Why.

Luiz Domingos has spent 25 years watching enterprise communications evolve, from IP telephony to cloud to AI, and his assessment of where things stand now is unusually concrete. Companies have moved p...

28 Maj 54min

Is ChatGPT Conscious? A Pioneer of AI Explains | Dr. Terry Sejnowski

A fly with 100,000 neurons can fly, find food, and reproduce. A $100 million supercomputer cannot. Dr. Terry Sejnowski used that observation to silence a room full of MIT AI researchers in the 1980s, ...

28 Maj 56min

Your Child's Data Profile Starts Before They're Born | Eamonn Maguire of Proton

Your child's data profile doesn't start when they get their first phone. It starts before they're born, the moment a parent emails a gynecologist or visits a fertility clinic website. That's the core ...

28 Maj 55min

Training AI Models Without a Billion-Dollar Data Center | Steffen Cruz of Macrocosmos

Training a frontier AI model today requires hundreds of thousands of GPUs, months of compute time, and a budget that only a handful of companies on earth can afford. Steffen Cruz, co-founder and CTO o...

25 Maj 47min

The Single Biggest Barrier to AI Adoption Isn't the Technology — It's This | Errol Gardner of EY

Errol Gardner has spent 35 years advising the world's largest organizations through major technology transitions, and his assessment of where enterprise agentic AI actually stands is one of the most g...

22 Maj 54min