What is Fatigue Risk Management (FRMS)?

FRMS is a data-driven approach to managing crew fatigue that goes beyond traditional duty time limits. FlightAtom Crew uses predictive algorithms to assess fatigue risk based on sleep patterns, circadian rhythms, workload, and time zone changes, providing alerts before fatigue becomes a safety concern.

How does AI-powered roster building work?

FlightAtom Crew uses machine learning to optimize crew schedules considering qualifications, preferences, fatigue scores, regulatory limits, and operational needs. The AI automatically generates optimal pairings and rotations while minimizing costs and maximizing crew satisfaction.

What duty time regulations does FlightAtom track?

FlightAtom Crew tracks compliance with EASA FTL, FAA Part 117, and local aviation authority regulations. The system automatically enforces flight duty period limits, rest requirements, and cumulative duty limits to prevent regulatory violations.

Crew Module

Crew Management

Intelligent roster optimization, fatigue monitoring, and real-time schedule access. Keep your crew compliant, rested, and ready.

Capabilities

Built for modern crew operations

Roster Building

AI-powered schedule optimization that balances crew preferences, regulatory limits, and operational needs.

Fatigue Risk Management

Real-time FRMS monitoring with predictive alerts to ensure crew are fit for duty on every flight.

Duty Time Tracking

Automated FDP and rest period calculations compliant with EASA, FAA, and local regulations.

Reserve Optimization

Smart standby crew allocation that minimizes costs while maintaining operational resilience.

Mobile Crew App

Native iOS and Android apps for schedule access, trip details, and instant notifications.

Crew Communications

Integrated messaging for schedule changes, operational updates, and crew-to-crew handovers.

Intelligence Layer

Beyond a roster. AI that reads every duty.

FlightAtom Crew analyzes every roster, preference, and fatigue signal across your operation — building schedules that are legal, fair, and resilient, while surfacing the crew situations that need a human decision.

Roster Analysis

Reads every duty, rest period, and preference

Continuously evaluates published rosters against FTL rules, fatigue models, qualifications, and crew preferences. Detects hidden risks like cumulative duty creep, recency expirations, or chronic preference starvation by base.

Personalized Scheduling

Schedules built around the individual, not the slot

Optimizes pairings to honor bid preferences, base, recency, and life events while keeping the airline legal and on-cost. Each crew member sees exactly why they got the duty they got — building trust as well as the schedule.

Fatigue & Fairness Forecasting

Predicts the burn-out and the bidding fights weeks ahead

Models Karolinska/SAFE alertness scores against the published roster and flags fatigue hotspots. Tracks roster fairness by base and rank to surface inequity before it becomes a union case or a sick-call spike.

Attention Required Across Crew Operations

A live feed of items the AI has prioritized for your scheduling team — sample of what Crew surfaces every morning.

4 crew members projected to violate cumulative FDP limits in the next 7 days — solve options pre-computed and ranked by cost. Critical · FTL Compliance · auto-resolution available
Madrid base shows 22% lower weekend-off allocation vs. fleet average — fairness drift detected over the last 60 days. Warning · Fairness Index · trend detected
Captain Ortega: 3 reroutes in 5 days, predicted alertness below threshold for tomorrow's early — swap options suggested. Warning · Fatigue Risk · personalized model
94 standby positions optimized for next bid period — coverage at 99.4% with 6% fewer reserves than last cycle. Info · Optimization · cost saving identified
11 crew bids automatically honored that previously failed manual scheduling — fairness score +4 points this period. Info · Personalized Scheduling · bid satisfaction

Cut scheduling time by 60%

See how AI-powered roster optimization reduces overtime costs and improves crew satisfaction.

See Crew in Action