How We Built an LLM-Powered App for User Assistance Experts at SAP

  • Tutorial
  • AI and New Technologies in TC
  • 24. April
  • 03:30 PM (CEST) - 04:30 PM (CEST)
  •  Gabriele Buchner

    Gabriele Buchner

    • SAP SE
  •  Mike Swain

    Mike Swain

    • SAP SE
  •  Sebastian Sappl

    Sebastian Sappl

    • SAP SE
  •  Thomas Meaney

    Thomas Meaney

    • SAP SE

Contents

 

The User Assistance AI Suite is a one-stop, LLM-powered solution for user assistance developers (UADs). By offering predefined, ready-to-use prompt templates for a variety of use cases using an integrated framework, it helps UADs research, create, edit, and deliver high-quality content. This talk shares our journey from an early prototype to a scalable, Fiori-based app that can be easily extended to support additional roles and use cases.

You’ll learn how the suite streamlines daily tasks, improves consistency and quality, and reduces the manual effort behind documentation workflows. We’ll walk through the core use cases, the technology behind them, and how we ensure responsible and reliable LLM outputs using the human-in-the-loop approach. The session concludes with a live demo showing how the suite transforms real UA scenarios into faster, more confident, and more scalable content creation.

 

Takeaways

Attendees will learn how AI supports UA roles, see how a shared vision became a working solution, and leave inspired to try AI in their own workflows.

Prior knowledge

Basic knowledge of large language models

Speakers

 Gabriele Buchner

Gabriele Buchner

  • SAP SE
Biography

Gabi Buchner is an experienced translator, writer, and trainer with a strong focus on integrating AI into language-centric workflows. With a background in conversation design for AI assistants, she leads innovative projects at SAP that explore how large language models and AI agents can support writing, translation, and terminology work. She regularly runs prompting workshops and training sessions to help professionals develop practical skills in generative AI. Gabi also addresses the multilingual, multicultural, and ethical dimensions of AI assistants and has shared her insights through blogs and talks at global conferences.

 Mike Swain

Mike Swain

  • SAP SE
Biography

Mike Swain has more than two decades of experience creating engaging documentation for complex software. He's the UA Lead at SAP Digital Manufacturing in Walldorf, where he drives AI innovation for user assistance across SAP Digital Supply Chain. His career spans pioneering entrepreneurial ventures, like launching a highly popular cinematic website, to leading European marketing initiatives at Skyva International and shaping technical content as an Information Developer at SAP SE. With a blend of technical acumen, creative communication, and strategic leadership, he offers insights you can count on in the world of technical authorship.

 Sebastian Sappl

Sebastian Sappl

  • SAP SE
Biography

Sebastian Sappl is a Senior User Assistance Developer at SAP Digital Manufacturing in Garching, specializing in complex integration topics. Drawing on his background as a simultaneous interpreter for the automotive industry, he has a deep-seated passion for upskilling and exploring new technological frontiers. He actively drives initiatives around data-driven user assistance and AI, using his programming skills to create practical use cases for large language models in technical writing. As a coach in prompting workshops, Sebastian empowers his colleagues to effectively leverage generative AI, blending linguistic precision with technical innovation.

 Thomas Meaney

Thomas Meaney

  • SAP SE
Biography

Thomas Meaney is a software engineer and computer science master’s student building AI-driven tools at SAP. He bridges the gap between university research and industrial software, focusing on how to turn complex requirements into working code. His approach combines academic depth with engineering discipline, ensuring that cutting-edge concepts are translated into robust, usable applications.