Case study: Automated Audit Preparation in MedTech with AroTrace

Digital Transformation Solution & Consulting

CASE STUDY

Automated Audit Preparation in MedTech with AroTrace

AI Automation for Compliance, Traceability and DHF Assembly

In the medical device industry, regulatory compliance is non-negotiable. A European Class III infusion pump manufacturer faced mounting pressure to deliver complete Design History Files (DHFs) with every release, proving end-to-end traceability across requirements, risks, tests and approvals. Manual audit preparation consumed weeks of engineering effort, introduced errors and slowed down innovation. To solve this, the company partnered with Arorian to deploy AroTrace, combining orchestration and AI automation to create an accurate, efficient and auditor-friendly workflow.

THE CHALLENGE

Manual, Error-Prone Audit Preparation

Even with Codebeamer for ALM and Windchill for PLM in place, the manufacturer faced a fragmented and labor-intensive audit workflow:

1. Document Overload

Each regulatory milestone required over 1,500 documents to be collected, checked and cross-referenced.

2. Heavy Engineering Burden

Audit prep consumed 25–30% of the engineering team’s time every quarter, reducing focus on design and innovation.

3. Traceability Gaps

Inconsistent links between ALM, PLM and risk systems triggered audit findings and forced costly remediation.

The organization needed an integrated, automated solution to assemble audit-ready evidence while ensuring complete traceability.

THE SOLUTION

Automated Audit Preparation with AI Summarization

Arorian implemented AroTrace automated audit preparation, orchestrating ALM–PLM data and leveraging its built-in AI automation layer, to streamline audit preparation, improve clarity and accelerate workflow.

1

Data Orchestration

AroTrace pulled requirements, test results, approval records and risk items across systems into a single workflow.

2

Evidence Pack Assembly

Automatically generated an audit-ready package (DHF/SSPP/PPAP), ensuring all trace links and approvals were complete.

3

AI Cover Note

AroTrace produced a concise summary of release scope (requirements, % test coverage, risk status), giving auditors an immediate high-level view.

4

Version Control

Each evidence pack was frozen and archived in Windchill, ensuring reproducibility for future inspections.

THE OUTCOME

Faster, More Reliable Compliance

With orchestrating ALM–PLM data and the AI automation capabilities of AroTrace, the medical device manufacturer realized measurable improvements:

70% Faster Audit Preparation

Audit evidence packs that once took weeks to assemble were now generated within days, accelerating release readiness.

Elimination of Traceability Gaps

Automated data orchestration ensured that every requirement, test and approval was linked, removing the missing connections that previously caused audit findings.

More Engineering Time for Innovation

By removing the manual burden of compiling and checking documents, engineers were able to focus on design and development work instead of clerical tasks.

Improved Auditor Confidence

Auditors praised the standardized, consistent evidence format, improving trust and confidence.

Start Your Proof of Concept with AroTrace

Validate how AroTrace can transform audit preparation and compliance management in your engineering workflows.

Automated Audit Preparation in MedTech with AroTrace and AroAgent; AI Automation

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

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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.

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