Contents
As-is analysis & process mapping
- Methods for structured surveys of current processes - e.g. interviews, workshops or digital tools.
- Identify and document weak points, manual steps and automation potential.
Process modeling & optimization
- Development of target processes that are more efficient and AI-compatible.
- Design of typical marketing processes such as campaigns or content workflows so that automation can be meaningfully integrated.
Change management in the marketing team
- New processes require changes in the team.
- Strategies for actively involving colleagues, promoting acceptance and successfully implementing innovations in everyday life.
Tool selection & system landscape
- Overview of relevant tools for an AI-supported process landscape.
- Selection of suitable systems and successful integration into existing structures.
Monitoring & continuous improvement
- Control and optimization of processes and AI applications.
- With suitable key figures, monitoring methods and continuous adjustments for long-term effectiveness.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- You know which requirements must be met for the integration of AI in marketing processes.
- You can analyze existing processes and systematically identify AI potential.
- You are able to design processes in such a way that AI can be used sustainably.
- You will gain practical insights into tools, change strategies and monitoring mechanisms.
Methods
Input from trainer, case studies, group work, structured process workshops, checklists and tool overviews for direct application.
Recommended for
Marketing managers, digital marketing managers, team leaders, project managers as well as specialists and managers from marketing, communication and sales who want to establish AI in their organization in a targeted and process-oriented manner.
Further recommendations for "Introducing AI in marketing - with optimized processes"
Start dates and details

Tuesday, 25.11.2025
09:00 am - 5:00 pm

Thursday, 19.03.2026
09:00 am - 5:00 pm

Tuesday, 19.05.2026
09:00 am - 5:00 pm

Tuesday, 08.09.2026
09:00 am - 5:00 pm