Gates, turnarounds, ground fleet, and irregular ops on one live airside plane — the delay predicted and the recovery drafted before it cascades, every action proven on an append-only ledger.
On-time departures
93.5%
Turnarounds on plan · GSE utilization healthy
93.5%
OTP
90%
Turn on plan
1
Gate conflicts
96%
GSE ready
212
Delay minutes
98%
Bag SLA
Every gate and turnaround, live. The agents predict the delay and stage the recovery before it cascades.
Gate A7 · turn
fueling late 6m
Pushback tug 4
available
Gate B2 · turn
crew short
De-ice pad
no queue
Belt 3
flowing
Gate C1 · turn
on plan
Fuel bowser 2
utilization high
Airfield
VFR
Every turnaround milestone tracked; the late fueling or crew gap caught before pushback slips.
GSE availability and predictive maintenance matched to the turn plan.
Disruption recovery drafts the reflow across gates, crews, and slots.
Baggage flow and mishandling risk on one plane with autonomous reroute.
Draft a disruption recovery plan.
{
"trigger": "ground stop 40 min · weather",
"affected": "6 departures",
"constraint": "crew duty limits",
"priority": "connections + downline"
}Pick an artifact and generate to watch the agent draft it.
Emerging bottlenecks surface here as demand signals — and graduate into live packs through the Capability Gap Radar.
Robotic GSE and AI turnaround control choreograph fueling, loading, and pushback to cut the biggest delay driver.
Urban air mobility needs vertiport scheduling, charging, and airspace integration from a standing start.
Component-level prediction and a living aircraft twin move maintenance from calendar to condition.
Integrating crewed and uncrewed traffic in shared airspace is a foundational coordination frontier.
SAF blending, tracking, and book-and-claim add a compliance and supply-coordination layer.