Description

The advent of generative artificial intelligence (GenAI) has received great attention in business and society due to its capabilities of content creation or decision making. Individuals started rapidly to use the capabilities of tools like ChatGPT, Claude or Google Gemini for text and image generation, personal recommendations, or decision support. At the same time, organizations are challenged to leverage GenAI and traditional AI technology within their business models, processes, and information systems. (Gen)AI technologies enable executing cognitive tasks which in the past were carried out manually by organizations’ employees. Ultimately, this leads to an increase of automation in organizations. This digital transformation process to higher levels of automation, however, must be managed by organizations.  

This course will address this organizational challenge and teach concepts about the automation of organizations leveraging (Gen)AI technologies and how employees can use them. The course is not focusing on the technological foundations of GenAI but focuses on economic and social impact of the technology and its management.

Course Structure

Learning Objectives

As a result of attending this program, students will be able to: 

• understand the historical evolution and core concepts of automation to drive organizational efficiency and innovation.
• articulate (Gen)AI integration principles for effectively implementing automation in organizations.
• understand and apply automation management strategies and best practices for addressing challenges to ensure adoption of (Gen)AI capabilities for organizational automation from a socio-economic perspective.
• explore and prototype (Gen)AI-based applications to streamline individual tasks and workflows in the context of organizational automation.

Case-studies & No-code exercise 

The course contains two applied elements:

• A case-study exercise in which the students apply the theoretical knowledge on integrating (Gen)AI-based services into an organization.
• An automation exercise in which the students will develop a no/low-code application using (Gen)AI services to implement automation.

Organization 

The lecture kickoff will take place on April 24, 2026 from 14:00 - 15:30 at Building 10.11 Room 213 (Plenarsaal).  
 
More information about the schedule of the lecture, the exercises or any organizational aspect will be posted in advance in the ILIAS course of the lecture. For questions regarding the course please use the ILIAS Forum. 
 
The lecture will be held by Dr. Ivo Benke and Till Carlo Schelhorn. 
 
Lecture contact for organizational questions is Till Carlo Schelhorn (till.schelhorn∂kit.edu)