Date: | 14 January 2027, 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 the handling of incoming leads and inquiries with n8n — from initial intake and classification to structured follow-up and routing.
Incoming leads and inquiries often arrive through different channels such as web forms, email or other business systems. Processing them manually can lead to delays, inconsistent data and missed follow-up. In this workshop, participants build an automated workflow that handles incoming inquiries in a structured and reproducible way.
The workflow captures incoming information, validates and structures the data, and determines how the inquiry should be processed. Participants learn how rules, integrations and AI can be combined to classify requests, enrich information and route leads to the appropriate next step.
The workshop also addresses practical considerations such as missing information, duplicate entries and reliable handover to downstream systems or responsible team members. The course will take place from 13:00 to 16:30.
What you will learn:
- Capture inquiries from forms, email or other sources
- Route leads to the appropriate person, team or system
- Validate and structure incoming lead data
- Handle incomplete or duplicate information
- Classify inquiries using rules and AI
- Build a transparent and reusable lead-processing workflow
Target audience
Professionals working in sales, business development, customer service, marketing or other areas where incoming leads and inquiries need to be processed, qualified and forwarded efficiently.
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).