AI-Powered Secure Document Intelligence for Automotive Engineering

Secure Document Ingestion & Processing

A robust document processing layer was implemented to handle complex technical content:

• Ingestion of multi-format documents
• Text and image extraction from manuals, schematics, and diagrams
• Metadata enrichment and vectorization for semantic search
• Version-aware document management

AI-Assisted Knowledge Retrieval

The platform enables engineers to retrieve precise, contextual answers:

• Natural language queries answered using AI-assisted retrieval
• Contextual responses supported by relevant diagrams and images
• Source attribution allowing users to verify original documents
• Relevance ranking to surface the most accurate information

Intellectual Property Protection & Access Control

Strong security controls were embedded throughout the system:

• Role-based access control restricting document visibility
• Secure authentication and authorization workflows
• Query logging, access monitoring, and usage analytics
• Activity tracking to support audits and compliance

Visual Content Understanding

To address complex engineering visuals:

• Integrated image analysis for diagrams and schematics
• Clear labelling and association of visuals with textual explanations
• Improved clarity and usability of visual technical documentation

Continuous Learning & Improvement

• User feedback captured via secure APIs
• Continuous refinement of AI responses for accuracy and relevance
• Ongoing updates to adapt to evolving engineering knowledge and workflows

• Encryption of data at rest and in transit
• Role-based access aligned to organizational responsibilities
• Detailed audit logs for document access and AI interactions
• Secure authentication and authorization mechanisms
• Regular security reviews and monitoring

These measures ensured intellectual property protection while enabling controlled knowledge sharing.