Aurimas Paulius Girčys

Adopting AI agents is one thing. Building a team of them that actually runs an organization’s work is another. Once an organization makes the leap from conversational AI to autonomous agents, the next question arrives quickly: how does a team move from a single agent doing one task to a coordinated system that handles entire functions of a business, end-to-end? This hands-on session addresses that question. Drawing on years of building APG Media as an AI-first agency - with a library of custom skills, Model Context Protocol (MCP) servers connecting agents to live tools, and orchestration loops running across more than 70 clients - Aurimas Paulius Girčys opens up the actual machinery behind a working multi-agent operation. Attendees will see how a single instruction becomes a plan, how that plan is decomposed and delegated to specialized sub-agents, each with its own context, tools, and a narrow job, and where humans stay in the loop and why. This is not a product demo. It is the architecture, the patterns, and the hard-won lessons of someone who builds these systems for a living - including what breaks, what is worth automating, and what absolutely is not. Aurimas Paulius Girčys covers skills as reusable building blocks, why a skill library, not a user interface, is the real asset, what MCP actually does to give agents “hands,” the orchestration pattern that separates planning from execution, and how to place approval checkpoints so that teams gain speed without losing control or accountability. For technical operators, founders, and builders who have already adopted agents and now want to architect a coordinated system rather than a pile of one-off automations, this session is the blueprint for going from a clever automation to infrastructure that a business can run on.