A vehicle diagnostics company automated the processing of OEM diagnostic reports from 16+ manufacturer systems, using AI-powered classification to deliver standardised reports to insurance claims platforms.
Modern vehicles generate complex diagnostic data through manufacturer-specific systems. When a vehicle is involved in an insurance claim, repair shops submit diagnostic reports in various formats from different OEM tools.
This creates a challenge for insurers who need to understand fault codes, pre-accident conditions, and repair requirements across dozens of different diagnostic formats.
The platform solves this by automatically classifying incoming diagnostic reports, extracting relevant data using AI, and generating standardised reports that integrate directly with insurance claims systems.
Processing thousands of diagnostic reports from different manufacturer systems, each with unique formats, languages, and data structures.
Each vehicle manufacturer uses proprietary diagnostic software with unique report formats, making manual processing time-consuming and error-prone.
Insurance claims require rapid turnaround. Processing hundreds of reports daily from repair shops across the country demands automation.
Fault codes, pre-accident data, and repair information must be accurately extracted from complex technical documents.
Diagnostic reports may arrive in multiple languages, requiring translation and standardisation for English-speaking claims handlers.
Incorrect or incomplete reports can delay claims. Every output must be verified for accuracy before delivery.
Reports must integrate seamlessly with existing insurance claims platforms via API, with proper error handling.
From upload to claims delivery, the platform handles each report through a structured workflow with intelligent routing.
Diagnostic report received from repair shop or body shop
AI identifies OEM system type and extracts key data
System-specific processing rules applied
Quality check and data validation
Standardised report created from diagnostic data
Report delivered to insurance claims platform
The platform recognises and processes reports from all major vehicle manufacturer diagnostic systems.
BMW Group
Integrated Service Technical Application
Mercedes-Benz
Dealer diagnostic system
VW/Audi
Offboard Diagnostic Information System
Volvo
Vehicle Information & Diagnostics for Aftersales
Toyota/Lexus
Factory diagnostic software
General Motors
Global Diagnostic System 2
Ford
Ford Diagnostic and Repair System
Peugeot/Citroën
Stellantis diagnostic tool
Chrysler/Jeep/Dodge
Wireless diagnostic system
Opel/Vauxhall
Technical Operations Portal
Nissan/Infiniti
Factory diagnostic system
Renault
Dealer diagnostic tool
Plus additional OEM systems including GTS+, VDS, MDARS, ADT, and aftermarket tools like Autel.
The platform uses OpenAI integration to intelligently classify incoming diagnostic reports, extract relevant data, and handle edge cases that rule-based systems would miss.
High-volume automated processing with consistent quality and rapid delivery.
From initial deployment to processing over 600 reports per month with consistent quality.
Generate standardised reports in English, Spanish, French, and other languages as required.
Direct API delivery to insurance platforms with automatic retry on failures.
Every report is tracked through the system with full audit trail, enabling quality monitoring and exception handling.
“Processing diagnostic reports from dozens of different OEM systems manually was unsustainable. SwiftCase gave us the workflow automation and AI integration we needed to scale while maintaining accuracy.”
See how SwiftCase can help you build intelligent document processing workflows with AI classification and system integration.
