How APIs, RPA, UI Agents, & goal based agents work together

In this episode, Micah Smith and Kate Ressler sit down with Pratyush Garikapati, Senior Director of Product Management at Automation Anywhere. They discuss how to choose between APIs, RPA, and UI agents, and explain where goal-based agents fit in.Pratyush explains how to build trust in an agent during its early days in production. He also covers the governance controls enterprises need, how agents use memory to replay successful runs and reduce token costs, and shares customer use cases that RPA could not address.

In this episode of Agentic Edge, Dennis Ganesh, Chief Technology Officer at RPG and author of The Architect's Blueprint on Substack, joins hosts Micah Smith and Kate Ressler to talk about scaling intelligent workflows in regulated environments.Dennis explains the four stages of AI maturity, discusses why technology often keeps old organizational problems in place, and shares a practical three-level governance framework to help citizen developers work safely.This episode is for technology executives, enterprise architects, and automation leaders who want to move beyond small experiments and make real changes in how their organizations operate.

Most modern businesses operate continuously, yet finance functions remain bound to calendar cycles designed for paper ledgers.In this episode of Agentic Edge, host Micah Smith speaks with Ken Mertzel (Global Finance Leader at Automation Anywhere) and Craig Richey (Senior Managing Director at Accenture) about transitioning finance from periodic reporting to continuous decision support. They discuss how agentic process automation resolves complex accounting standards, how to reverse the traditional 90/10 data trap, and why unifying automation and AI governance under one center of excellence is key to scaling continuous finance operations.

In this episode, Micah Smith sits down with Geoff Cronin, former CEO of Capgemini Canada and now a strategic advisor to Tangentia. Geoff breaks down what executives want to hear when you pitch them on AI initiatives.He explains why technology for the sake of technology fails almost every time. He shares how to frame outcomes in business language that resonates. He also discusses the real risks of shadow IT in the LLM era and why your human capital model must transform for AI to deliver value.Practical and grounded advice from someone who has sold to, advised, and operated as an executive.

A century of change is arriving in five years. Most organizations are responding by making their industrial age models slightly more efficient, and that is the problem.In this episode, Micah Smith sits down with Mihir Shukla, Chairman and CEO, Automation Anywhere, and Nancy Hauge, Chief People Experience Officer at Automation Anywhere. Together, they have written The Five-Year Century, a book on what it actually means to lead through this moment.The conversation covers why revolutionary tools applied to broken frameworks change very little. What resistance to AI really signals, and how trust changes the equation. Why the industrial age kept more human capability out of work than it ever asked for. And why every person in an organization is about to get a promotion with AI.If you lead people, make decisions, or are figuring out where to go from here, this one is for you.

You've got the platform and executive buy-in, but do you have the people to deliver on agentic AI?In this episode, Micah Smith and Kate Ressler talk with Mike Reynolds, Business and Technology Executive at KeyBank, about what it actually takes to build, retool, and upskill automation teams for the shift from task-based RPA to goal-driven agentic AI.Mike shares how he invests in his team to build automations, how those citizen developer skills are evolving for the agentic era, why ideas that were rejected years ago are now greenlit, and the leadership mindset required to invest in people when the pressure is on short-term results. Whether you lead an automation team, build solutions, or are figuring out what skills to invest in next, this one's for you.

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!

In this episode 4 of the Agentic Edge Podcast, host Micah Smith dives deep into the world of AI agent interoperability protocols with guests Rajendra Vijay, Director, Product Management, and Ramana Lokanathan, SVP, Engineering, Automation Anywhere. They explore the Model Context Protocol (MCP) and the Agent-to-Agent Protocol (A2A), discussing their importance for building, scaling, and orchestrating automation across enterprises.Learn about the crucial role of context, the benefits of MCP for reusability and modularity, and the future of these protocols in enterprise AI. The episode also covers best practices for developers and enterprise architects looking to leverage these protocols for more efficient and secure automation solutions. Tune in today to stay on the cutting edge of AI and automation technologies.