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Rydoo Accounts Payable AI invoice automation at Norwegian

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GoodMaps indoor navigation at MidAmerica St. Louis Airport

Lyon Saint-Exupéry Airport

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Almaty International Airport

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Arrow Analytics EZ-Board computer-vision carry-on analytics test at PIT Gate A7

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FAA SMART airspace and trajectory management platform

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Dubai Police AI systems for passenger screening, unattended baggage and camera analysis at Dubai airports

Airport intelligence / New York JFK

JFK: three terminals, three different operators

At JFK, the most useful AI stories are terminal-specific: TurnaroundControl at Terminal 4, ground-traffic management for British Airways at Terminal 8 and biometric international-arrival processing. None should be mistaken for a single airport-wide programme.

Terminal 4 operations at John F. Kennedy International Airport, New York, 2024
Terminal 4 operations at John F. Kennedy International Airport, New York, 2024. Photograph: Oleg Yunakov / CC0 1.0 (cropped to fit). Shows the airport, not an AI implementation.
The picture at New York JFK

A busy airport without a single operating model

JFK has several terminal operators, airline partners and federal border agencies. That matters when interpreting technology announcements. A system working at one terminal does not automatically operate across another.

At Terminal 4, Assaia's camera analysis watches ground-handling events. At Terminal 8, British Airways has used Moonware's HALO for ground-traffic coordination. A separate Enhanced Passenger Processing initiative involves US Customs and Border Protection.

The reported deployments span real operational decisions, but the performance figures are largely supplier or trade-publication claims with limited independent comparison.

Selected implementations

Where the deployment boundaries sit

01 / Deployed

Watching Terminal 4 turnarounds

The operational problem

An aircraft stand can become occupied longer than planned when ground tasks slip unnoticed.

What the sources report

JFKIAT deployed Assaia's ApronAI TurnaroundControl at Terminal 4, according to Airports International in 2021. Assaia later claimed reduced delays and improved gate availability in its case study.

Why it matters

Computer vision has a plausible operational role when it turns task observations into earlier interventions.

What remains unproven

Five-minute delay and 25% gate-availability improvements come from Assaia; independent methodology and time period are not established.

Sources and verification (2)

Airports International · Evidence grade B

Assaia · Evidence grade C

Evidence supports a reported claim; it does not automatically establish a measured operating benefit.

02 / Deployed

Directing ground movements at Terminal 8

The operational problem

Ground handling requires sequencing vehicles and work around arriving and departing aircraft.

What the sources report

Moonware said HALO was handling ground traffic for British Airways flights at JFK Terminal 8 in partnership with IAG and ground handler dnata by March 2024.

Why it matters

This is an airline- and terminal-specific operating deployment, not an airport-wide automated movement system.

What remains unproven

The current record lacks independently confirmed throughput or delay savings attributable to HALO.

Sources and verification (1)

Moonware (vendor) · Evidence grade B

Evidence supports a reported claim; it does not automatically establish a measured operating benefit.

The wider register

What else is happening at New York JFK?

Enhanced Passenger Processing for international arrivals is tracked separately at Terminals 4 and 8 with CBP and BigBear.ai. The biometric process should not be conflated with aircraft turnaround technology.

Enhanced Passenger Processing for international arrivals at JFK Terminals 4 and 8 · Deployed · limited scope

JFKIAT announced a collaboration to launch Enhanced Passenger Processing for international arrivals with US Customs and Border Protection and BigBear.ai, Airport Improvement reported on 6 June 2025. Eleven days later BigBear.ai listed JFK's Terminals 4 and 8 among its deployments for the process.

Sources and verification (2)

BigBear.ai (vendor) · Evidence grade B

Airport Improvement (trade) · Evidence grade B

Evidence supports a reported claim; it does not automatically establish a measured operating benefit.

Scope is part of the story

JFK illustrates why Aerostack should attach claims to a terminal, operator and time period rather than just an airport name.

A future airport-wide summary would need evidence that the systems have expanded beyond those stated boundaries.

Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.