AeroResolve turns passenger complaints into resolved tickets — text, photo, audio, or video intake; AI classification; supervisor consoles with SLA timers; closure confirmation with a tamper-evident audit trail.
Passenger files via QR, kiosk, app, or web — in text, photo, audio, or video, in their language.
Against your complaint taxonomy. Sensitive categories flagged for human review.
Auto-routed to housekeeping, security, F&B, accessibility, or whichever queue owns it.
Passenger notified, supervisor confirms closure, every step preserved for regulator review.
Passengers tell us what's wrong however they prefer — typed, spoken, photographed, or recorded. Evidence travels with the ticket.
Sensitive complaints — safety, security, accessibility, harassment — are queued for human review before action.
Housekeeping, F&B, security, accessibility, customer service — each team sees only their queue, with the evidence and the SLA timer.
Tamper-evident audit trail — every classification, every reassignment, every status change is logged with timestamp and actor.
The passenger sends a photo of a broken accessibility ramp with a voice note in Tamil. AeroResolve reasons over all of it together — the photo informs the category, the voice transcribes the urgency, the timestamp pins the location.
Classified complaints route to the right team queue with confidence scores. Low-confidence items queue for supervisor review; SLA timers start the moment a ticket is created, not the moment someone notices.
Safety, security, accessibility, and harassment complaints are queued for supervisor review before any team is notified. The AI proposes; the human decides.
A 30-minute walkthrough — your complaint categories, your teams, your SLAs. We'll send a configuration proposal within five working days.