From Analog Documents to Dynamic Models:

The New AI Standard for Automotive Requirements

Date Announcement Coming Soon

Virtual Event | Webinar

What critical questions will be answered during the webinar?

  • What is state of the art requirements engineering for Tier 1s?
  • How can AI be used and maintain integrity in the process?
  • How can requirements validation be automated?
  • How does the new requirements management lead to more intelligent responses?

Understanding Existing Challenges & New Solutions

Tier 1 suppliers operate at the nexus of complex product development and regulatory expectations. Unlike OEMs who author requirements, Tier 1s are recipients and implementers — translating volumes of external specifications into internal procedures, digital artifacts, and quality checks. However, these requirements come from multiple directions:

 

  • OEM customers each issue unique and detailed specifications
  • Regulatory bodies (e.g., NHTSA, EPA, EU Commission) enforce regional or global compliance standards
  • Standards organizations (e.g., SAE, ISO, ASTM) issue continuously evolving industry norms

 

This creates a high-cadence, high-volume inflow of requirements. But today’s methods — often based on disconnected documents, spreadsheets, and tribal knowledge — force engineering teams to manually reconcile requirements with in-progress designs and work instructions. 

 

The result:

 

Duplicate and conflicting interpretations of similar requirements across programs or teams

  • Missed or outdated requirements in design, test, or manufacturing phases
  • Inefficient audits and handovers, with poor traceability back to authoritative sources
  • Substantial rework when requirements change mid-program

 

These inefficiencies compound risk — from quality escapes and delays to lost business due to failed customer audits or unmet compliance conditions.

 

What Tier 1s need is not just better storage of requirements, but a structured and scalable way to:

 

  • Ingest static requirements from multiple sources
    Convert them into modular, traceable models that can be reused across products and programs
  • Dynamically provision these models into tools and workflows (e.g., CAD, PLM, MES)
  • Track conformance in real time and adapt as requirements evolve
Join The Event Alongside Industry Leaders