Artificial intelligence is changing organizations, work methods, decisions, and responsibilities. To be able to use AI meaningfully, it is not enough to master individual tools. It is also important to understand their capabilities and limitations, to identify appropriate use cases, and to be able to realistically assess risks.

My AI training courses not only provide essential knowledge and understanding of artificial intelligence (which is actually quite untechnical), but also enable you to make better decisions when prioritizing, selecting, and implementing AI applications. You will also learn to assess the use of AI from a governance perspective.  

The content is practical, clearly structured and particularly focused on employees, topics and areas of expertise related to accounting, financial reporting, reporting and auditing.

What is artificial intelligence, what can it achieve, how does it become intelligent? Where are the limits and risks of its use, especially in the context of accounting, reporting, and auditing? What are typical sources of error?

For which tasks is AI useful? What prerequisites must be met? What consequences does its deployment have for employees, processes, systems, and leadership? How can use cases be evaluated and compared?

How can AI experiments be organized for practical use? How are organization and employees prepared for the use of AI? What is needed for a controllable and verifiable use of AI?

The DAIGO simulation makes AI governance practically tangible. At the heart of this is the human being. The simulation shows that AI governance does not consist solely of rules and documents, but also of decisions, the assumption of responsibility, and functioning processes. By then, all participants will have understood that AI governance is a leadership task. And the participants will experience how important teamwork and communication are when it comes to controlling and verifying the use of AI.