Automated Compliance-by-Design

A global electrical power unit manufacturer successfully transformed its design compliance process by implementing AI-powered automation for its extensive CAD drawing library. The manufacturer had more than 10,000 CAD drawings as unstructured design files. It deployed a system that combined vision AI and LLM-powered reasoning with Retrieval-Augmented Generation (RAG) technology that can access information beyond the data AI was trained with, including a company’s internal data. The CAD design files were thus turned into a structured, searchable design inventory. By converting unstructured files into smart part records, the manufacturer could use a drag-and-drop design method that removed manual delays. Future iterations will incorporate comparisons of components against local utility codes to streamline regulatory approvals.

A medical device manufacturer operating across multiple continents achieved significant efficiency gains. The manufacturer receives calls from a field support network about service issues that often require compliance reporting. The high volume of unstructured, multilingual audio and text data made it challenging to identify reportable issues. By combining LLM-powered generative AI, machine IoT logs, and traditional machine learning, a system was created that analyzes conversations, matches them with device telemetry, and automatically classifies issues for regulatory reporting. This new workflow replaced a six- to 12-month manual backlog with near real-time processing.

Research suggests some companies are realizing a measurable return on investment. An IDC study found that Vanta, an automated compliance system, helped compliance teams save significant time. According to a compliance risk study by Accenture, 93% of respondents agreed that AI and cloud compliance programs remove human error and automate manual tasks.