Boosting Quality and Compliance with AI: A Tech Writer's Journey

  • Fachvortrag
  • Künstliche Intelligenz (KI) in der Technischen Kommunikation
  • 11. November
  • 05:45 PM (MEZ) - 06:30 PM (MEZ)
  • C6.2
  •  Jordan Stanchev

    Jordan Stanchev

    • SAP Labs Bulgaria

Inhalt

Is AI just a buzzword, or can it genuinely improve enterprise documentation? This presentation chronicles our team's real-world journey to integrate AI into our DITA-based authoring workflows at a large corporation. We will move beyond the hype to share a transparent case study of our process—from initial experiments to full implementation. You will discover the specific AI-powered techniques we use to enforce style guide compliance, enhance content quality, and accelerate our writing process. We'll detail our successes, our surprising failures, and the practical lessons learned along the way.

Das lernen Sie

After this session, you will be able to:

  • Identify 3+ practical AI use cases for your workflow.
  • Avoid common pitfalls in AI implementation.
  • Craft effective prompts for quality and style checks.

Vorkenntnisse

Basic understanding of AI, LLM, and prompting.

Referent:in

 Jordan Stanchev

Jordan Stanchev

  • SAP Labs Bulgaria
Biografie

Jordan Stanchev is a Product Manager for the DITA-based CMS used by 1000+ technical writers at SAP, where he leads projects in information architecture, metadata, and XML documentation.  An experienced instructor, he teaches at the University of Strasbourg, delivers training on API and software documentation for TCTrainNet, and has created online courses for over 60,000 learners on Udemy and Udemy Business. Jordan is also a co-founder of tekom Bulgaria, the nation's leading association for technical communication professionals.