Date: | 26 November 2026, 13:00 – 16:30 (CET) | Price: | Free (for eligible participants) | |
Format: | AI:AT Training, ONLINE (Zoom) | Target audience: | Industry, public admin, academia | |
Language: | English | Organizer: | AI:AT |
Learn how to automate recurring reporting processes with n8n — from collecting and structuring data to preparing consistent, reusable reports.
This workshop focuses on the automation of recurring financial reporting processes using n8n. Participants work through a practical reporting workflow and learn how information from different sources can be collected, structured and prepared automatically.
The workflow demonstrates how data can move through multiple processing steps while remaining transparent and traceable. Participants learn how to transform incoming information into a consistent structure, apply validation and processing logic, and prepare the resulting data for further analysis or reporting.
Where useful, AI can be integrated to support tasks such as summarisation or the generation of explanatory text. The emphasis remains on creating reliable and reusable workflows rather than replacing deterministic financial processing with AI. The course will take place from 13:00 to 16:30!
What you will learn:
- Collect information from different data sources
- Automate recurring reporting steps
- Structure and transform data inside an n8n workflow
- Integrate AI selectively for summaries and narrative output
- Validate incoming data and handle incomplete information
- Design workflows that are reusable, transparent and maintainable
Target audience
Professionals who regularly work with reports, structured business information or recurring data-processing tasks and want to explore how these processes can be automated with n8n.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
Intermediate – Basic familiarity with n8n. Access to n8n is required. Completion of the n8n Introduction and a second or large screen are recommended.
Speaker
Marc Zeiler (AI Factory Austria AI:AT)
Marc Zeiler brings a technical background in high-tech manufacturing to his role on the In-House Innovation and Automation Team at AI Factory Austria AI:AT, where he focuses on process automation, n8n, and agentic AI. He works on practical automation projects with companies and develops hands-on workshops that help turn repetitive business processes into reliable, AI-supported workflows.
Location
This course is offered as LIVE ONLINE TRAINING via Zoom.
Registration
Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.
You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Modification, withdrawal & no-show policy
Your registration is binding. Please only register for the course if you are really going to attend.
You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@ai-at.eu).
No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.
Organizers
This webinar is organized by AI Factory Austria AI:AT.
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).