Overview

AI Technician is an AI-enabled diagnostic agent designed to provide vehicle model- and trim-specific diagnostics and maintenance guidance. Built for OEMs, it delivers instant, precise responses through a conversational interface to assist vehicle owners, service technicians, and engineers. The solution uses real-time vehicle data and generative AI to surface actionable insights, speed troubleshooting, reduce unnecessary service visits, and enable more efficient post-sale support and revenue opportunities.

Features and Capabilities

• No-code Builder: AI Technician Builder enables OEMs to create vehicle-, model- and trim-specific AI Technicians without writing code; tailored personas for owners, technicians, and engineers follow.
• Vehicle-specific Diagnostics: Provides targeted, model-aware diagnostic recommendations and troubleshooting steps that reference vehicle-specific data and configurations.
• Real-time Data Integration: Ingests live vehicle telemetry and logs to prioritize issues, adapt data capture dynamically, and improve diagnostic accuracy over time.
• Conversational Interface: Chatbot-style interaction that answers user questions, explains fault codes, and guides step-by-step repair or maintenance actions.
• Persona-driven Experiences: Different UX flows for vehicle owners (consumer-friendly), service technicians (technical, procedural), and engineers (deep diagnostics and telemetry).
• Automated Action & Workflow Integration: Triggers follow-on actions such as service scheduling, diagnostic logs upload, or in-vehicle data collection adjustments to aid resolution.
• Reduce Warranty & Recall Costs: Uses evolving machine learning models and vehicle data to detect patterns early, helping avoid repetitive faults and lowering recall impact.
• Scalable Deployment for OEMs: Designed to be deployed at scale across vehicle lines and trims, integrating with in-vehicle software stacks and backend services.
• Analytics & Continuous Improvement: Collects anonymized diagnostic interactions and telemetry to continuously refine models and knowledge bases.