Every week brings a new AI technique, a new protocol, a new framework claiming to change everything. So how do you actually decide what to build, what to wait on, and what to ignore entirely?

In this episode, Adi Kuruganti, Chief AI and Development Officer at Automation Anywhere joins Micah Smith & Kate Ressler, to share how he thinks about separating signal from noise, what it really takes to move agentic AI from POC to production, and the two contrarian bets his team is making right now on data architecture and conversational UX. Grounded, direct, and worth your time.

In this episode, hosts Micah Smith and Kate Ressler spotlight winners from Automation Anywhere’s Agentic Bounty Challenge, created to help the Pathfinder community move beyond simple task automation and build goal-based AI agents for real business problems.

They interview three winners: Jenna Saunders, who built an agent that performs sentiment analysis on product reviews, outputs a CSV with sentiment scores, and generates actionable insights, using Python for precise data sorting and formatting; Omkar Mahajan, whose transit-focused agent uses maintenance and disaster management manuals to recommend next actions, create Salesforce tasks, work orders, and purchase orders with guardrails like order-history checks and approved product lists; and Ganesh Bhat, who built a “Sprint to Jira” agent that turns unstructured sprint planning inputs (screenshots, emails, transcripts) into Jira epics, stories, and tasks with human-in-the-loop and data protection guardrails.

What if most IT, HR, and finance requests were solved instantly, without creating a ticket or waiting for a human? The union of Automation Anywhere and Aisera creates an agentic automation powerhouse for enterprises.

In episode 5 of the Agentic Edge podcast, host Micah Smith, along with co-host Kate Ressler, invites Rahul Guha, VP of IT Service Management and Employee Experience at Automation Anywhere to explore how Aisera is pushing enterprises closer to “zero service desk” and what agentic AI really means in the real world.

Rahul breaks down how AI agents work, why context matters more than hype, and how organizations are moving from automation to autonomy. Tune in today!