Generative AI in R&D

An automotive supplier accelerated R&D efficiency by applying generative AI to automate requirements engineering and compliance tasks. 
Automotive - Smart Warehouse
Efficiency
Manual effort reduced
Quality
Compliance improved
Speed
Faster feature mapping
Car assembly line in a large factory, with robotic arms, overhead cranes, blue presses, workers welding amid bright sparks, smoke, and orange industrial lighting.
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
Three business professionals gather inside a car, smiling as the driver in a suit holds a blue tablet near the steering wheel under warm showroom lighting.
Time-intensive document analysis
Automotive engineering team using real-time video analytics for continuous inspection and rapid quality verification
Inconsistent requirement classification
Technician using a tablet to define the reference configuration for automated tool kit inspection
Limited traceability across features
Solution
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Designed an AI-based requirements engineering solution

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Automated extraction, classification, and feature mapping

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Integrated GenAI into existing R&D workflows

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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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