Building AI Agents That Teams Can Trust | Chicago Meetup

About this event

***The Test Tribe Chicago Meetup - Building AI Agents That Teams Can Trust*** AI agents are rapidly becoming part of modern software products but building an agent that works is only the first step. As organizations move toward multi-agent systems, new challenges emerge around coordination, governance, reliability, and human oversight. Join us at The Test Tribe Chicago Meetup to explore what it really takes to design, govern, and scale AI agents responsibly, with practical insights from an industry leader helping organizations move AI from experimentation to production. ***Event Details*** * ***Date: 22 September 2026*** * ***Time: 6:00 PM - 8:00 PM CDT*** * ***Venue: 10 S Riverside Plaza, Chicago, IL 60606*** ***What's on the Agenda?*** ***Session: From AI Agents to Agentic Systems: What It Really Takes to Build and Govern Them Well*** ***Speaker: Kajal Jain*** AI agents are everywhere but understanding how to build, orchestrate, and govern them effectively is where the real challenge begins. While a single AI agent may perform a specific task, multi-agent systems introduce greater complexity through collaboration, decision-making, and interconnected workflows. In this session, Kajal Jain will explore the evolution from standalone AI agents to fully agentic systems, highlighting the architectural, operational, and governance considerations organizations need to address. Learn where multi-agent workflows become difficult to manage, why governance cannot be an afterthought, and how to strike the right balance between AI autonomy and human oversight to build systems that are reliable, trustworthy, and ready for production. ***How This Meetup Solves Your Problem*** As more organizations adopt AI agents, engineering and product teams are facing entirely new challenges. This meetup will help you: * Understand the difference between standalone AI agents and multi-agent systems. * Learn where agentic workflows become complex and how to avoid common…