Fleet Availability
97.2%
AI predictive maintenance
OTP (On-Time Performance)
89.4%
↑12pts AI disruption mgmt
MRO Cost Reduction
−22%
Predictive vs reactive
Safety Events
0
AI safety monitoring
🤖 Agent Status
Real-time across all capabilities
Aircraft Reliability AI284 aircraft · failure prediction 4-6wk
Revenue Management AI47 routes · dynamic pricing live
Disruption ManagementOTP 89.4% · ↑12pts from AI
MRO Intelligence−22% cost · predictive scheduling
Safety IntelligenceSMS · FOQA · ASAP integrated
Crew IntelligenceCrew scheduling · FTL compliance
📡 Live Intelligence Feed
Real-time AI activity
Why AviationOS
✈️ Reliability: Unscheduled Maintenance Costs 3× More
Unscheduled aircraft maintenance costs 3× the equivalent planned maintenance. AI aircraft health monitoring predicts failures 4-6 weeks ahead — scheduling during planned line maintenance, not AOG events.
💰 Revenue: Seat Revenue Optimised Only at Booking
Airline revenue management traditionally optimises seats at booking — missing intraday price adjustments as demand signals change. AI revenue management adjusts pricing every 15 minutes across all fare classes.
🚨 Safety: FOQA Data Processed Too Slowly
Flight Operational Quality Assurance data from flight recorders is reviewed periodically by analysts. AI FOQA intelligence analyses every flight in real time — detecting safety-relevant exceedances and trend deterioration before incidents occur.
All AI Agents
🛩
Aircraft Reliability AI
Engine health, avionics, airframe monitoring. Failure prediction 4-6 weeks. AOG prevention. CAMO compliance.
284 aircraft
ReAct + Sensor💰
Revenue Management AI
Dynamic pricing, fare class optimisation, ancillary revenue, codeshare management.
47 routes
ReAct + Elasticity🚨
Safety Intelligence
FOQA analysis, SMS integration, exceedance detection, safety trend monitoring.
All flights
Sequential + Rules👨✈️
Crew Intelligence
Crew scheduling, FTL compliance, training due, fatigue risk management.
All crew
Planning + Rules⚡
Disruption Management
Weather monitoring, ATC disruptions, recovery planning, passenger rebooking.
All operations
ReAct + Scenarios🔧
MRO Intelligence
Maintenance scheduling, parts forecasting, supplier performance, task card optimisation.
All MRO
Planning + Data📊
Network Intelligence
Route performance, slot utilisation, competitive analysis, network optimisation.
All routes
Reflection + StatsFlights Analysed Today
847
Exceedances Detected
12
FOQA review
SMS Events
3
Under review
Safety Trend
Improving
🚨 Safety Intelligence
Safety Intelligence integrates FOQA (Flight Operational Quality Assurance) data from flight data recorders, SMS (Safety Management System) reports, ASAP (Aviation Safety Action Program) inputs, and maintenance records to provide a real-time view of safety performance. Every flight is analysed automatically — parameter exceedances, unstabilised approaches, hard landings, and TCAS events are flagged within 24 hours rather than at the next FOQA committee. All safety findings are reviewed by the Safety Officer before corrective action is initiated. AI identifies trends — qualified aviation safety professionals assess and act.
📡 Live Agent Trace
All decisions logged
🛡 AI Governance
Advisory intelligence — humans decide
No autonomous consequential actions: All significant decisions require human approval. AI recommends — authorised professionals decide.
Full audit trail: Every AI output logged with source data, reasoning, and confidence. Explainable to regulators and auditors.
Continuous evaluation: RAGAS faithfulness >0.92 required. Quality degradation detected within 24 hours. Human override always available.