CASE STUDY
Smarter Change Impact Categorization with AroTrace and AroAgent
AI Automation for Faster, More Accurate Engineering Change Reviews
In the automotive industry, managing change requests is one of the most critical and complex engineering processes. A leading global OEM developing software-defined vehicles (SDVs) faced challenges that required smarter change impact categorization. Each request could affect hundreds of requirements, dozens of ECUs and thousands of test cases. To address this, the company partnered with Arorian to deploy AroTrace with AroAgent, introducing AI automation to transform change impact assessment from slow, error-prone reviews into a traceable and audit-ready workflow.
THE CHALLENGE
Slow and Inaccurate Change Classification
Although the OEM already relied on Codebeamer for ALM and Windchill for PLM, change reviews remained largely manual and disconnected. Engineering managers faced:
1. Time-Consuming Reviews
Each engineering change request (ECR) required 2–3 weeks of manual analysis, delaying approvals and releases.
2. Misclassified Changes
Around 40% of requests were either underestimated — causing late defects — or overclassified as “major,” creating unnecessary delays.
3. Disconnected Traceability
Dependencies across requirements, parts and test cases were scattered between ALM, PLM and test systems, forcing engineers to manually hunt for links.
The OEM needed a solution that would accelerate reviews, improve classification accuracy and ensure compliance across a fragmented toolchain.
THE SOLUTION
Change Impact Categorization with AI Automation
Arorian deployed AroTrace as the orchestration layer and AroAgent as the AI automation engine, ensuring that change requests were analyzed consistently and routed correctly.
1
Data Fusion
AroTrace connected Windchill change notices with Codebeamer requirements, linked parts and downstream test coverage.
2
AI-Powered Categorization
AroAgent evaluated the scope of each ECR and classified it as minor, moderate, or major based on impacted items and regulatory relevance.
3
Impact Summaries
Concise one-page snapshots highlighted affected modules, suspect links and required regression tests.
4
Automated Approval Routing
Workflows were suggested automatically — lightweight approvals for minor changes, full board reviews for major ones.
THE OUTCOME
Faster, More Accurate and Compliant Change Control
By combining AroTrace with AroAgent, the OEM achieved:
60% Faster Review Cycles
Change request evaluations dropped from weeks to days, accelerating release readiness.
Improved Classification Accuracy
AI support minimized both under- and over-estimation of change risks.
Audit-Ready Traceability
Evidence packs showed consistent traceability across ALM, PLM and test systems.
Confidence for Faster Releases
Start Your POC with AroTrace and AroAgent
Validate how AroTrace with AroAgent can transform change impact categorization and accelerate compliance-ready engineering workflows.
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.
