CASE STUDY
Requirement Breakdown & Specification Drafting with AroTrace
AI-Driven Requirement Decomposition for Automotive Engineering
Every engineering project starts with a set of high-level requirements — often written with the best intentions, but not always in a format ready for design or verification. Turning them into clear, testable specifications requires significant manual effort and coordination. This case study shows how an automotive engineering team applied AI requirement breakdown using AroTrace to automatically generate well-structured specifications with full engineering traceability, helping engineers save time while maintaining consistency and control.
THE CHALLENGE
Ambiguous System Requirements and Manual Specification Drafting
System-level requirements were often written in free text and varied in scope and clarity, making them difficult to translate into actionable specifications. Engineers spent excessive time rewriting, clarifying and aligning terminology across teams.
Key pain points included:
1. Ambiguity and Interpretation Gaps
High-level requirements were broad and open to interpretation, causing inconsistent understanding among engineering teams.
2. Manual, Inconsistent Decomposition
Breaking down requirements into specifications was done manually, leading to inconsistencies in format and structure.
3. Loss of Context
Rewriting or rewording requirements caused valuable intent and rationale to be lost between authors and downstream teams.
4. Slow Review Cycles
Lack of traceability between system and derived requirements prolonged reviews and hindered collaboration.
As one lead engineer put it:
“We had good system requirements, but every team interpreted them differently. We needed a way to make the intent explicit — without writing everything from scratch”.
THE SOLUTION
AI-Assisted Requirement Breakdown within Existing Workflows
Arorian implemented AroTrace with a build-in AI layer, integrated with Codebeamer, to automate the decomposition of complex system requirements while keeping engineers in control.
1
Intent-Aware Analysis
AroTrace analyzes each high-level requirement to understand its purpose, domain and dependencies before suggesting structured specifications.
2
Automated Specification Drafting
The AI proposes clear, detailed sub-requirements written in the organization’s preferred format and aligned with engineering templates.
3
Consistency and Reuse
AroTrace reuses established phrasing and structures from approved specifications to maintain consistency across projects.
4
Traceability Preservation
Links between original and derived requirements are automatically maintained, ensuring full visibility for audits and reviews.
5
Seamless Integration
Engineers worked entirely within Codebeamer — reviewing, refining and approving AI-generated specifications without switching tools or workflows.
THE OUTCOME
Faster, More Consistent and Traceable Specification Drafting
The pilot program covered more than 1,500 system requirements across multiple ECU components. Within weeks, AroTrace transformed the team’s approach to specification creation.
50% Faster Requirement Decomposition
AI support reduced manual drafting time by half, enabling faster handoffs to design and validation teams.
Improved Clarity and Consistency
Sub-requirements followed standardized language and templates, ensuring uniformity across engineering domains.
Enhanced Traceability
AroTrace automatically maintained links between different requirements, simplifying audits and impact analysis.
Reduced Review Iterations
Shared, AI-assisted structure improved mutual understanding among engineers, cutting review cycles significantly.
Zero Process Disruption
Engineers continued working in their familiar environment, adopting AroTrace naturally as part of daily activities.
Start Your Proof of Concept with AroTrace
Validate how AroTrace can accelerate requirement decomposition, improve clarity and strengthen traceability in your engineering workflows. Experience AI-driven specification drafting that enhances — not replaces — engineering judgment.
DURATION
2–4 weeks, depending on scope and complexity
COMMITMENT
No obligation to continue if success criteria are not met
AGREEMENTS
NDA and Proof of Concept Statement of Work (SOW) signed prior to kickoff
SUPPORT
Full access to Arorian’s engineering and product teams throughout the POC
ABOUT ARORIAN
Arorian is a global leader in providing digital solutions and services that drive transformation and growth for businesses across various industries. With a focus on innovation and excellence, Arorian delivers unparalleled value to its customers by harnessing the power of technology to solve complex challenges.
