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

One customer example is a financial services customer bank essentially, which is able to reduce their loan application process for automotive loans from around twelve hours to a little under one hour. And all these use cases, we definitely have human in the loop. So once the human approves, the agent is then taking action to process it as well. So I don't think the agent technology is at a point where you can get 90% plus accuracy all the time. And so there is a trust factor of these mission critical processes that drive operational productivity or regulatory compliance or revenue impact. We believe it's a combination of determinacy and cognitive. AI is moving fast within the enterprise. Employees are experimenting with personal AI accounts. Teams are building custom AI apps, and autonomous agents are connecting to sensitive systems. Innovation is exploding, but governance isn't keeping up. Gartner predicts that through 2026, 80% of unauthorized AI transactions will come from internal policy violations, like oversharing sensitive data, not external hacks. That's a huge risk. And that's why Island, the creator of the enterprise browser, launched its new AI services. Island surrounds generative AI, AI browsers, and autonomous agents with the enterprise controls that they were never built for. Identity enforcement, data protection, auditability, and centralized policy. Now organizations can safely use any AI app, consumer or enterprise, without corporate data loss. Teams can deploy secure permissioned agents with full audit trails. Ireland's publishing capability makes it easy to safely share internal AI apps across the company. And the Island AI browser brings governed multimodal AI directly into the enterprise browser employees already use. The result, a single secure foundation for AI at work so CIOs and CISOs don't have to choose between productivity and protection. To learn how to scale AI without losing control, visit island.io. Adi, usually, I start by having guests introduce themselves to listeners, and give your background so far as it's relevant, but more importantly, how you came to Automation Anywhere and and what exactly Automation Anywhere is doing. Yeah. Alright. So nice to meet you, Greg. Adi Guruganti. I'm the chief AI and developer ops at Automation Anywhere around our product, technology, r and d teams. And I've been here about four and a half years. Before that, I spent about fifteen years at salesforce.com. So been an enterprise software now, I guess, going on 20 audios. Very much in all things product for CRM now in all things automation. Big focus obviously at agentic AI and agentic and I'll talk a little bit more about Automation Anywhere. So, so that's my background. I think just to maybe talk a little bit about Automation Anywhere. Yeah. We we are in, you know, we've defined a category called agentic process automation, which really combines what we believe is the best of deterministic automation, traditional automation with agentic AI with the goal for customers to automate their mission critical processes. Things like auto management, prior authorization, …