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AI Requirements Automation for Automotive Engineering

Case study

AI Requirements Automation for Automotive Engineering

AutomotiveRomania

Case study summary

rinf.tech built a proof-of-concept system for an anonymized automotive client to automate requirements analysis, regulation mapping, and ASPICE-aligned test-criteria generation. The system accepted Excel requirements through a React interface, used credential-restricted LLM infrastructure, retained version history, and produced source-traceable outputs without public-internet connectivity. During the demonstration, estimated work per requirement fell from 35–55 minutes to 10 minutes plus human review; production figures remained to be confirmed after rollout.
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TransparencyWins ecosystem context

This case study was contributed by RINF TECH, a software engineering partner represented in the TransparencyWins ecosystem. Case studies make delivered project experience, project context and reported outcomes visible to tech buyers. Review this contribution together with available client testimonials, partner insights, certifications and other company signals when evaluating relevance for a sourcing need.