Generative AI in R&D

An automotive supplier accelerated R&D efficiency by applying generative AI to automate requirements engineering and compliance tasks.

Efficiency

Manual effort reduced

Quality

Compliance improved

Speed

Faster feature mapping

Shifting engineers from documents to engineering

The client sought to streamline regulatory and customer requirement handling within automotive UX development.

Objectives

Reduce manual work, improve accuracy, and increase development speed.

Opportunity

Manual requirements extraction and classification slowed R&D cycles and increased compliance risk

Driving Complex Global Transformations

Proven delivery overcoming complex multi-country business challenges

Key Challenges

Time-intensive document analysis

Inconsistent requirement classification

Limited traceability across features

Solution

Designed an AI-based requirements engineering solution

Automated extraction, classification, and feature mapping

Integrated GenAI into existing R&D workflows

Ensured regulatory and safety alignment

Impact

Productivity at engineering scale

Freed engineers from manual document work.

Improved regulatory and safety compliance.

Accelerated feature planning and development.

Delivered measurable productivity gains.

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