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Part 121 · Reliability & reporting

Predictive maintenance

Each tail gets a 0–100 aircraft-on-ground risk score that surfaces which aircraft to look at first, and every score is shown with the factors that contributed to it — airworthiness posture, inspection timing, utilization, and age. It is deterministic and explainable, not a black-box prediction: you see what drove the number, not a mystery output. It replaces guessing which tail is the next surprise AOG.

Launching the first quarter of 2027.

Predictive maintenance
Deterministic AOG-risk · every point traces to a factor
N702AO · B737-700
Highest AOG risk in fleet
78
High / 100
Contributing factors
AD / SB posture
+30
Inspection clock
+22
Utilization
+14
Airframe age / TT
+12
Deterministic — same inputs, same score · not an AI prediction

Illustrative — every screen reflects your own data.

Who it's for

Maintenance controllers at a Part 121 operation who want a ranked, traceable starting point for which tail to look at first, rather than guessing which aircraft is the next surprise AOG.

What it replaces

Guessing by hand which tail is the next surprise aircraft-on-ground.

What predictive maintenance gives you

  • A 0–100 AOG-risk score per tail
  • Shown with its factors: airworthiness, inspection timing, utilization, age
  • Deterministic and explainable — not a black-box prediction

A 0–100 AOG-risk score per tail

Each tail gets a 0–100 aircraft-on-ground risk score that surfaces which aircraft to look at first, computed from its airworthiness posture, inspection timing, utilization, and age. Maintenance works the highest-risk tails first off a ranked list instead of a guess.

  • A 0–100 AOG-risk score per tail
  • Shown with its factors: airworthiness, inspection timing, utilization, age
Predictive maintenance
Deterministic AOG-risk · every point traces to a factor
N702AO · B737-700
Highest AOG risk in fleet
78
High / 100
Contributing factors
AD / SB posture
+30
Inspection clock
+22
Utilization
+14
Airframe age / TT
+12
Deterministic — same inputs, same score · not an AI prediction

Deterministic and explainable, shown with its factors

Every score is shown alongside the factors that produced it, and the same inputs always produce the same score — it is deterministic and explainable, not a black-box prediction. You see what drove the number rather than a mystery output, so a maintenance controller can trace the ranking back to the tail's airworthiness, inspection timing, utilization, and age.

  • Deterministic and explainable — not a black-box prediction
  • Shown with its factors: airworthiness, inspection timing, utilization, age
Fleet
Per-tail utilization · inspection clock · AD posture
Tails
18
Insp ≤ 14d
3
AOG
1
TailType · 30dNextStatus
N700AOB737-800 · 142 hin 38 hAirworthy
N701AOA320 · 118 hin 12 dInsp soon
N702AOB737-700 · open ADAOG
30 / 90 / 365-day hours · ADs, SBs, and life-limited parts per tail

How an operator uses this

Each tail gets a 0–100 aircraft-on-ground risk score that surfaces which aircraft to look at first, and every score is shown alongside the factors that produced it — airworthiness posture, inspection timing, utilization, and age. It is deterministic and explainable, not a black-box prediction: the same inputs always produce the same score, and you see what drove the number rather than a mystery output. It replaces guessing which tail is the next surprise AOG by giving maintenance a ranked, traceable starting point.

Illustrative — every screen reflects what's in your own data, nothing more.

How it works

Predictive maintenance, step by step

  1. Each tail's airworthiness posture, inspection timing, utilization, and age feed its score.

  2. The system computes a 0–100 AOG-risk score per tail.

  3. Open a score to see the contributing factors behind it.

  4. Work the highest-risk tails first — the ranking is deterministic, not a prediction.

Questions

Predictive maintenance — frequently asked

Is the predictive-maintenance score an AI prediction?

No. It is a deterministic, explainable 0–100 score computed from tracked inputs — airworthiness posture, inspection timing, utilization, and age — and every score is shown with the factors that drove it. There is no black-box prediction model.

What does the AOG-risk score tell me?

Which tail to look at first. Each aircraft gets a 0–100 score from its airworthiness, inspection timing, utilization, and age, so maintenance has a ranked, traceable starting point instead of a guess.

Keep exploring

Other features in Part 121

All of Part 121
Pilot bidding (LINE + PBS)

Monthly bid packages

Per base × equipment × position, DRAFT → OPEN → CLOSED → AWARDED → PUBLISHED.

Deep dive
Pilot bidding (LINE + PBS)

LINE + rule-based PBS

Seniority-ordered awards in either LINE or rule-based PBS mode.

Deep dive
Pilot bidding (LINE + PBS)

Idempotent award engine

A pure awards function — re-running replaces prior awards with the same result.

Deep dive
Pilot bidding (LINE + PBS)

Crew pairing builder

Per-line pairing CRUD inside each package, with a reserve-pool fallback.

Deep dive
Duty, rest & fatigue

FAR 117 enforcement

Flight-time caps checked at crew-assignment time — a busting assignment is blocked before it saves.

Deep dive
Duty, rest & fatigue

FAR 121.467 cabin-crew enforcer

Parallel duty/rest enforcement for flight attendants.

Deep dive
Duty, rest & fatigue

Union / CBA contract overlay

Layer your bargaining unit's stricter limits on top of the FAR floor; the scheduler enforces whichever is more restrictive.

Deep dive
Duty, rest & fatigue

Crew duty board

Live duty used per crew member, derived from shifts and the flight log.

Deep dive
Duty, rest & fatigue

Fatigue risk board

Deterministic and explainable — blends documented duty load with self-reported sleep signals. Not an AI prediction model.

Deep dive
Reserve, open-time & MEL

Reserve crew

LONG_CALL + SHORT_CALL with callout and no-contact tracking.

Deep dive
Reserve, open-time & MEL

Open-time / trip trading

Drop / pickup / swap with planner approval; auto-approves when no FAR 117 bust.

Deep dive
Reserve, open-time & MEL

MEL — minimum equipment list

Category A/B/C/D deferrals with auto-rolling expiry; expired items ground the aircraft.

Deep dive
Qualifications & recurrent

AQP (14 CFR 121 App. Y)

Per-fleet proficiency objectives and CQ-cycle enrollments.

Deep dive
Qualifications & recurrent

FA recurrent training

121.421 initial / recurrent / transition / overwater on a 12-month cycle.

Deep dive
Qualifications & recurrent

Recurrent calendar

Four-month grid across credentials, FA recurrent, and inspections.

Deep dive
Qualifications & recurrent

Drug & alcohol random draws

Random-selection records with a full audit trail.

Deep dive
Fleet, cargo & dispatch

Aircraft program

ADs, SBs, and life-limited parts with inspection clocks per tail.

Deep dive
Fleet, cargo & dispatch

Cargo & ULD

IATA ULD types, an AC 120-85-styled inspection clock (non-mandatory FAA guidance), and hazmat tags on the build-up manifest.

Deep dive
Fleet, cargo & dispatch

Live aircraft tracking

FlightAware position + ETA on the ops board (bring-your-own AeroAPI key).

Deep dive
Fleet, cargo & dispatch

Trip-sheet briefings

METAR/TAF + NOTAMs + fuel + crew signature, print-ready; pax/cargo weight captured for your own W&B process.

Deep dive
Reliability & reporting

Fleet utilization

Per-tail 30 / 90 / 365-day hours with an inspection countdown.

Deep dive
Reliability & reporting

Manager daily digest

Today's ops and attention items emailed to managers each morning.

Deep dive
Reliability & reporting

Reports & exports

Utilization, currency, and completion KPIs with CSV export.

Deep dive
A dashboard for every seat

Pilot dashboard

A pilot's own home: next flights + FAR 117 duty standing, report-for-duty check-in, PBS bid status, 61.51 logbook, currency and credentials.

Deep dive
A dashboard for every seat

Flight-attendant dashboard

Trips and schedule, 14 CFR 121.421 recurrent-training status, credentials, check-in, manuals, and fatigue reporting.

Deep dive
A dashboard for every seat

Crew planner & dispatch

Bid packages and awards, reserve and open-time, and the live ops / dispatch board for the people running the operation.

Deep dive
A dashboard for every seat

Manager & compliance

Fleet, recurrency, FAR 117 oversight, and audit-ready compliance — role-scoped, one Part at a time.

Deep dive
Network-aware scheduling In dev

Maintenance-station routing

Flags when a tail's due check won't reach a capable station before its limit. Advisory — it surfaces the risk, it doesn't block dispatch.

Deep dive
Network-aware scheduling In dev

Crew-base efficiency

Surfaces deadhead and out-of-base overnights so pairings can be built to originate and terminate at a crew member's base.

Deep dive
Network-aware scheduling In dev

Weighted efficiency score

A configurable weighted score (abstract points, lower = better) over deadhead, overnights, repositioning, and maintenance-fit slack — set your own weights.

Deep dive
Network-aware scheduling In dev

Explainable swap / re-base suggestions

Deterministic aircraft-swap and re-base proposals that improve the score — every suggestion shows its reasoning. Not AI, not a guaranteed optimum.

Deep dive

Every Part 121 workspace also includes the platform-wide backbone — logbook, credentials, compliance, reporting, and audit trail.

See the backbone

See predictive maintenance on your operation.

It's part of the Part 121 workspace. Request a demo or join the waitlist.