Solutions / Automotive
The decision that matters: Is this a common fault or a rare one?
Diagnostic decision support and repair workflows for field technicians, where a confident wrong diagnosis on an uncommon fault leads to unnecessary repairs, warranty claims, or safety issues on the road.
Where It Breaks
The rare fault problem
The buyer fear
An uncommon fault presents with symptoms similar to a common one. The AI is trained on thousands of common faults and projects confidence. The technician replaces the wrong part. The vehicle returns. The customer loses trust.
Modern vehicles have dozens of interconnected systems. Symptoms can have multiple root causes. AI trained on historical data will always be biased toward common explanations. The architecture must recognize when a case does not fit the common pattern.
The Architecture Response
Generator, Evaluation, Gate, and edge of standard
Generator with multiple candidates
The system produces multiple diagnostic hypotheses, not just the most likely one. Uncommon faults appear in the candidate list even when common faults dominate.
Independent evaluation
Each hypothesis is scored against symptoms, vehicle history, and known failure patterns. The scoring is separate from generation, preventing self-confirmation.
Three-route gate
High-confidence matches proceed. Low-confidence cases return for more data. Ambiguous cases escalate to senior technicians or engineering.
Governing edge: Uncommon fault detection
When the system detects that symptoms do not cleanly match any common pattern, it has reached the edge of the standard. The case escalates to a human with expertise in uncommon failures, regardless of how confident the top hypothesis appears.
In Production Today
Two weeks to production
OrbisFramework powers diagnostic decision support workflows in production today. Two weeks from kickoff to live deployment with real technicians. The same architecture that supports doctoral-grade research supports field technician workflows.
Read the case studyAutomotive workflows
Let's discuss your diagnostic challenges.
A strategic conversation about your field service and diagnostic requirements.