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.