​Many organizations are thinking about the next step with AI, moving beyond pure question-and-answer systems toward truly acting, agentic intelligence. Traditional chatbots can provide helpful answers, but they remain passive. Agentic AI, by contrast, can autonomously execute tasks, prepare decisions, and orchestrate workflows—based on enterprise knowledge and goals.

​Agentic AI comes in many forms. For example, it enables novel workflows for document processing, new types of interaction with avatars, or easier access to relational databases even for non-experts. At the same time, it introduces challenges. Embedding agents into an organization is not trivial; agents create new security vulnerabilities and therefore new threats, and financial considerations must not be overlooked.

​In this one-day, hands-on workshop, you will learn step by step how Agentic AI works. You will also build several prototypes yourself using professional public cloud tools (Microsoft Azure). This is not a toy exercise, but a realistic entry point into productive, agent-based applications for your organization.

​This training is conducted in English.

​Content & Highlights

• ​How to rethink and design workflows with Agentic AI,

• ​What the difference is between single-agent and multi-agent architectures,

• ​Which novel security risks arise from Agentic AI,

• ​What organizational and financial implications agents have within a company,

• ​How the concept of Human-in-the-Loop can be implemented in practice.

​Who is it for?

​For everyone who wants to join the conversation and help shape the future. Whether you are an IT lead, a digital leader, or a curious decision-maker. You will gain the tools you need to set up AI with real business impact. No programming skills are required—but you should be willing to click, test, learn, and, under guidance, dare to run the occasional command in a terminal.

​Compact. Hands-on. With plenty of aha moments.

​Workshop Host

​Fabian Kostadinov is a Tech Lead at AI Bridge and supports organizations in identifying and sustainably implementing meaningful AI use cases. After studying Business Informatics at the University of Zurich, he worked on the development of multi-agent and machine learning systems before leading international AI initiatives at Swiss Re for almost ten years—among other things with a focus on ML platforms, LLM services, and cloud-based solutions. During this time, he realized that many challenges are less technical and more cultural and organizational in nature—a topic he explored further through part-time studies in organizational development at IPU Berlin. Since 2024, he has been supporting organizations as an independent consultant with analyses, workshops, and implementation support—always with the goal of effectively connecting technology and organization.