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Sonatus AI Technician

AI-powered vehicle
diagnostics from
pre-SOP testing through post-sales service.

Leverage AI-driven smart diagnostics and issue resolution throughout the vehicle lifecycle, from pre-SOP test and validation to post-sales vehicle services.

Improve time-to-SOP and vehicle quality

Accelerate pre-SOP development with precise diagnostics, multi-domain data correlation, and early root-cause identification—reducing validation cycles, speeding issue resolution, and improving vehicle quality.

Simplify vehicle ownership and improve customer satisfaction

Enhance customer satisfaction with proactive and precise diagnostics recommendations, reducing guesswork and frustration. Simplified maintenance boosts confidence, fostering long-term loyalty.

Boost after-sales parts and services revenue

Improve after-sales service efficiency by accelerating troubleshooting and diagnosis with upfront fault incident data, optimizing repairs and reducing wait times—driving customers to service centers and capturing more after-sales revenue.

AI Technician overview

Sonatus AI Technicians are AI-enabled diagnostic agents that assist owners, service technicians, and engineers in swiftly diagnosing and resolving vehicle-related issues. Built on agentic AI principles, they orchestrate multiple specialized agents—vehicle diagnostics, log analysis, knowledge retrieval—to deliver grounded, explainable recommendations. Sonatus AI Technicians go beyond general vehicle guidance to deliver detailed insights and actionable solutions specifically targeting vehicle health and diagnostic issues.  

Sonatus AI Technicians utilize Sonatus Collector AI to gather real-time vehicle data along with Sonatus Automator AI to perform further diagnostic scans, and fuse it with large language models (LLM) and Retrieval-Augmented Generation (RAG). By applying generative AI in automotive diagnostics, AI Technician synthesizes proprietary OEM documents, telemetry, factory service manuals, and historical repair data into actionable recommendations. It uses the combined dataset to troubleshoot and recommend actions that are uniquely applicable to the fault incident.

Features and capabilities

Sonatus AI Technician is AI vehicle diagnostics software built on an orchestrated, agentic architecture that synthesizes vehicle data and OEM knowledge to deliver grounded recommendations, guide next steps, and automate follow-up actions—powering faster resolution across pre-SOP and post-SOP workflows.

  • Agent orchestration: Coordinates specialized agents (e.g., vehicle diagnostics, log analysis, analytics) to execute end-to-end troubleshooting workflows.
  • Multi-source knowledge synthesis: Correlates service content, engineering docs, TSBs, repair history, telematics, DTCs, and ECU logs into a unified case view.
  • Guided investigation loop: Recommends the next-best vehicle questions and data to collect to confirm or rule out likely causes with fewer iterations.
  • Grounded, explainable outputs: Provides traceable recommendations with evidence links and confidence scoring to reduce guesswork and limit hallucinations.
  • Actionable outcomes: Triggers follow-up steps—data capture, escalation packages, and workflow actions—based on diagnostic conclusions.

Sonatus AI Technicians deliver tangible benefits and cost savings at multiple points in the vehicle development, pre-SOP testing and validation, and post-sales vehicle ownership services.

Pre-SOP: Development, test,
and validation

Sonatus AI Technicians help engineering teams resolve complex vehicle issues faster by turning fragmented test evidence into grounded root-cause guidance and next-step actions.

  • Accelerate root cause: Correlate ECU logs, network traces, DTCs, requirements, and test context to pinpoint likely causes quickly.
  • Reduce iteration and re-tests: Recommend the next-best data to collect and the key checks needed to prove (or rule out) each likely cause.
  • Improve cross-domain debugging: Correlate interactions across ADAS, body, infotainment, powertrain, and gateways to uncover system-level faults.
  • Standardize troubleshooting: Capture repeatable diagnostic playbooks and institutional knowledge across teams and programs.
  • Optimize test vehicle utilization and costs: Run multiple diagnostic investigations in parallel on shared test vehicles—reducing retests and manual log review while expanding coverage across builds, trims, and variants.

Post-SOP: Preventative diagnostics,
service, and quality

Sonatus AI Technicians improve service and quality outcomes by providing explainable, vehicle-specific recommendations that reduce “no fault found,” unnecessary parts replacement, and repeat visits.

  • Faster time-to-diagnosis: Enable remote vehicle diagnostics at scale. Synthesize service docs, TSBs, and live telemetry for distributed fleets without requiring the vehicle to be in the shop.
  • Fewer unnecessary hardware swaps: Distinguish software/config issues from true hardware faults using evidence-backed recommendations.
  • Solve intermittent, hard-to-reproduce issues: Drive an iterative investigation loop that narrows causes as new evidence is captured.
  • Prevent repeat issues at fleet scale: Detect emerging patterns across vehicles and recommend targeted actions before they become widespread.
  • Lower warranty and service costs: Reduce labor time, repeat visits, and spending on parts while improving first-time fix rate and ownership experience.

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