Artificial Intelligence in Business – From Basics to Implementation: A Workshop Agenda for Managers

Abstract

This paper presents a comprehensive analysis of the syllabus for a two-day executive workshop titled "Artificial Intelligence in Business – From Basics to Implementation". Developed for middle and senior-level managers, the syllabus is designed as a structured and practical guide for understanding, adopting, and managing AI technologies within various business environments. It offers a step-by-step approach to AI integration, combining foundational knowledge with applied learning, tailored specifically to decision-makers who are responsible for driving innovation and organizational change. The workshop agenda covers a range of key topics, including the basic principles of AI, its capabilities and limitations, and the most relevant legal and ethical frameworks — such as the EU AI Act, GDPR, and emerging global standards. In addition, the syllabus emphasizes AI governance, risk management, and responsible use of AI tools. Through interactive sessions and case-based learning, participants are introduced to practical tools like ChatGPT, Copilot, Midjourney, and Jasper, with hands-on opportunities to explore their application in domains such as operations, finance, marketing, HR, and product development. A special focus is placed on guiding managers through the process of preparing their teams and organizations for AI-driven transformation. The syllabus includes frameworks for change management, strategies for overcoming internal resistance, and methodologies for aligning AI tools with business goals. The final part of the workshop explores the future of AI and its expected impact over the next 1, 5, and 10 years, encouraging participants to build forward-looking strategies. By analyzing the content, structure, and intended outcomes of the workshop syllabus, this paper contributes to the ongoing discussion on how to effectively educate business leaders in the age of AI. The syllabus is presented as a replicable and adaptable model for executive training, with the potential to accelerate responsible and strategic AI adoption across industries.