Live Webinar

How BLS Successfully Brings AI Agents to the Rails

June 24, 2025 – 2:00 PM

We can automate part of the inquiries with the moinAI chatbot and provide our customers with a 24/7 solution. This relieves our customer service and increases customer satisfaction. In addition to the chatbot, the seamless handover to our customer service is important to us.

Johannes Hehr
Chief Sales Officer

Four years after our first webinar with BLS, we're taking a look back and forward together.

What started as a single chatbot has grown into an intelligent ecosystem of over 25 AI agents at the Swiss railway company BLS. In this webinar, we'll show how the implementation was continuously expanded, what learnings were gained along the way, and why this case serves as a true best-practice example for AI in transport and tourism companies.

Sign up for the webinar:

Speakers in the panel:

Webinar host Frederik Schröder
Michael Rieder
Application & Knowledge Manager Customer Care Center
BLS AG

Michael is responsible for the Omnichannel Contact Center at BLS AG, including chatbot & live chat, and explains in the live webinar how recurring questions in customer service can be automatically answered through a chatbot.

Webinar host Frederik Schröder
Johannes Hehr
Chief Sales Officer
moinAI

Johannes is Chief Sales Officer at moinAI and is passionate about innovative technologies. In his role as head of the sales team at moinAI, he drives the future of customer communication forward in both medium-sized businesses and large enterprises in the DACH region.

In collaboration with:

The Swiss railway company BLS has written a real success story over four years: From a single chatbot, an entire ecosystem has emerged with now over 25 AI agents that support travelers, employees, and partners daily. In the webinar, we'll tell the story together with BLS of how this journey looked, where the stumbling blocks were, and what opportunities open up for other transport and tourism companies. Look forward to fresh insights, open numbers, and many aha moments.

  • How it all began with a service chatbot and became a central conversational platform
  • Why internal use cases ignite the turbo for external customer experiences
  • What tools, teams, and processes are behind 25 AI agents
  • Measurable effects: cost reduction, revenue upselling, service quality
  • Lessons learned directly from the makers
  • Outlook: Next level automation with Gen-AI and multimodal interaction

Whether you're just starting or already gaining AI experience – this best-practice case shows how artificial intelligence can be sustainably anchored in the company. Bring your questions, exchange ideas live, and take concrete steps for your own project.