Mateusz Masiczak
About
Mateusz Masiczak is a Marketing Manager who leads a team of marketers and artificial intelligence (AI) agents and runs his marketing function entirely through a marketing operating system (Marketing OS): a repository of skills, agents, and scripts that handles most of the team’s work, from multichannel campaign production to day-to-day workflows. He previously worked as a senior branding expert at Boeing and led marketing projects at UBS. He is certified in PRINCE2 and AgilePM and writes about AI-native marketing operations. He shares his systems, templates, and honest failure stories on LinkedIn.
Mateusz Masiczak | Build your MarketingOS in one day: From empty folder to working AI department
In this 45-minute session, Mateusz Masiczak presents the marketing operating system (Marketing OS) he uses to run a four-person marketing team alongside more than 30 artificial intelligence (AI) agents.
He will explain how the system is structured, from organising the repository and creating context files - such as brand voice guidelines, an ideal customer profile (ICP), and an offer library - to turning plain-language playbooks into reusable agent skills. The session will also cover how agents connect with real tools through application programming interfaces (APIs) and the Model Context Protocol (MCP), and how they can be organised into departments with clearly defined roles and outputs.
Through a live demonstration, Mateusz will show how the system can transform a single offer brief into the first draft of a multichannel campaign, including landing page copy, platform-specific advertising variants, and consistent messaging across channels.
The session will also address the guardrails required when using AI in production: when deterministic scripts are more reliable than large language model (LLM) outputs, how to review agent-generated work at scale, and which decisions should remain in human hands.
Attendees will leave with a practical blueprint for developing a structured Marketing OS and introducing AI agents into their own marketing workflows.