Ground time is the only KPI that matters. Cut it.
AOG-AI is a defect-resolution copilot trained on full-flight simulator systems — motion, visual, IOS, control loading, and avionics — so your technicians get device-specific fault isolation in seconds, not a call to the OEM queue.
This is a real exchange, not marketing copy.
Answered from grounded fault history — device, symptom, confirmed fix — not a generic guess. That's the difference between an AI that sounds helpful and one that actually is.
Built for the fleet you actually run, not a generic simulator.
Device-specific, not generic
Answers are grounded in a knowledge base tagged by manufacturer, device model, and aircraft type — not a generic troubleshooting checklist copy-pasted across every simulator.
Cross-references intelligently
A 737 FCOM question pulls relevant knowledge from any device running that aircraft type. A device-specific hardware question pulls from that device across aircraft types. You get the most relevant match, not just an exact one.
Answers like a senior tech, not a bot
Ranked, terse fault-isolation — 2 to 4 likely causes tied to the actual subsystem — in the time it takes to type the symptom. No 10-question intake form before you get anything useful.
Gets smarter with your fleet
Every centre can add its own private fault history on top of the shared knowledge base — so the answers reflect your actual equipment, not just published documentation.
Every minute spent searching a manual is a minute the sim isn't training.
A fault that takes 90 minutes to chase down through a manual and a phone call to OEM support becomes a lookup that takes as long as it takes to describe the symptom. That's the entire premise here — device-specific answers, immediately, so the ground time is spent fixing the fault instead of finding it.