AI Governance & Transformation Bootcamp

In the first week, you will categorize the four waves of digitalization, evaluate AI technologies from a leadership perspective, and conduct a digital maturity assessment. You will implement Article 4 of the EU AI Act (the requirement for AI literacy), create an industry-specific AI readiness scorecard, and build an enterprise prompt library. In the process, you will learn prompting techniques—such as system prompts, the RTC framework, few-shot prompting, and evaluation methods—and utilize tools like ChatGPT and Perplexity for strategic research.

In week 2, you will apply change frameworks—such as ADKAR and Kotter’s 8-Step Model—specifically to AI transformations, and contextualize Lewin’s model. You will conduct a change-readiness analysis, develop an AI communication plan, and learn how to confidently address common fears and resistance through practical role-playing exercises. As a transformation manager, you will define your role as a proactive change agent.

In week 3, you will evaluate enterprise AI platforms and vendors using weighted criteria while distinguishing between agent, copilot, and workflow automation paradigms. You will learn core agentic architectures including ReAct, plan-and-execute, single-agent, and multi-agent systems, and implement a hands-on MCP server with secure read-only and write-with-approval workflows. Additionally, you will apply data governance principles like RACI and data cataloging to assess how data quality impacts RAG reliability. Finally, you will identify and mitigate agent risks including hallucination, tool misuse, prompt injection, and EU AI Act triggers.

In week 4, you will analyze stakeholders using power/interest grids and RACI matrices for the internal rollout of AI agents. You will design programs for key users and champions, leverage Miro and Copilot for visual analysis, and—through an executive briefing simulation—practice how to secure the support of senior leaders and decision-makers for your AI initiative.

In week 5, you will operationalize the EU AI Act (risk categories, Art. 4, Art. 6, Annex III) for both conventional and agentic systems. You will design an AI governance framework based on ISO 42001, draft a "Responsible AI" policy, and examine its intersections with the GDPR. Through an interactive compliance audit simulation, you will establish practical, effective mechanisms for human oversight and approval controls.

In the final week, you will develop a robust AI business case—including ROI, payback period, and TCO analysis (evaluating "build vs. buy vs. partner" options)—along with an investment proposal ready for C-level decision-making. In the comprehensive capstone project, you will integrate all the skills you have acquired and defend your transformation assessment before a jury of your peers.