False or unclear requirements are among the most common causes of high development costs and delays. This is particularly true for safety-critical systems. Modern AI models can support requirements engineers in systematically analyzing requirements, identifying inconsistencies at an early stage and transforming natural-language requirements into formal specifications. The result: More efficient development processes, fewer iterations and higher quality from the early stages of a project.
What you will take away from this whitepaper:
- Use AI effectively: Learn how artificial intelligence can support requirements engineers in requirements elicitation, analysis, verification and formalization.
- Improve quality at an early stage: Discover how AI can identify ambiguities, conflicts and gaps in requirements, creating the foundation for robust, testable specifications.
- Understand the opportunities and limitations: Using a practical example from the railway industry, gain insights into an AI-supported requirements engineering workflow and learn why human-in-the-loop is the key success factor for reliable results.
The authors

Agnes Stöcker, Team Lead & Requirements Engineering Rail
Before solutions can be developed, requirements need to be understood: Since 2009, Agnes Stöcker has been involved in the development of safety-critical railway systems, ensuring that complex rail projects are built on a solid foundation of clear and consistent requirements. As a Team Lead and Requirements Engineering Expert, she supports our customers in systematically capturing and specifying requirements and translating them into successful development projects.

Franziska Kempf, Requirements Engineering Rail
High-quality requirements are the key to project success: Franziska Kempf has been working in the business unit rail at ITK Engineering GmbH since 2021. As a Requirements Engineering Expert, she supports customers in eliciting requirements and specifying safety-critical systems and software for the rail industry. Her particular focus is on the practical application of AI-assisted Requirements Engineering in the rail industry.
Artificial intelligence is no cure-all, but a powerful tool for increasing efficiency and quality in requirements engineering.
![Express train with an AI icon and a skyline in the background, surrounded by connecting lines. [AI-generated]](https://www.itk-engineering.de/wp-content/uploads/2026/08/itk-whitepaper-ki-requirements-engineering-1024x576.jpg)

