aerostack

Search Aerostack

Norwegian

Rydoo Accounts Payable AI invoice automation at Norwegian

MidAmerica St. Louis

GoodMaps indoor navigation at MidAmerica St. Louis Airport

Lyon Saint-Exupéry Airport

Stan robotic valet parking at Lyon Saint-Exupéry

London Heathrow

Facial-recognition eGates at Heathrow

Almaty International Airport

Q-Gate biometric passport-control terminals at Almaty

Pittsburgh International Airport

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

Federal Aviation Administration

FAA SMART airspace and trajectory management platform

Dubai International

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

Airline intelligence / British Airways

British Airways says AI tools have saved over 400,000 minutes of delay at Heathrow

British Airways says AI tools for stand allocation and weather rerouting have saved more than 400,000 minutes of delay, and a disruption tool has modelled 163 scenarios. In the first quarter of 2025, 86% of its Heathrow (LHR) flights left on time, a record. The figures are the airline's own.

The operating picture

Punctuality at a congested hub

British Airways aircraft
British Airways aircraft. Photograph: Thomas Nugent / CC BY-SA 2.0 (cropped to fit). Illustrates the airline, not an AI deployment.

British Airways operates up to 800 flights a day at Heathrow, by its own count. In 2023 it began a £7bn investment programme, including £100m for operational resilience, 600 extra operational roles at Heathrow and more than 100 data scientists, the airline said in May 2025.

Its AI work at the airport goes back to 2019, when it trialled Assaia's camera monitoring of turnarounds at Terminal 5.

Selected implementations

The work behind the evidence

01 / Deployed

Four tools for the day of operation

The operational problem

At a full hub, a late arrival, a poor stand choice or a band of weather can cascade into missed connections and late departures across the day.

What the evidence reports

British Airways said on 14 May 2025 that a stand allocation tool assigns arriving aircraft at LHR using live analysis of passengers' onward connections, saving 160,000 minutes of delay. A weather tool reroutes aircraft around poor weather in coordination with European air traffic flow centres, preventing 243,000 minutes of delay. A predictive tool flags routes likely to face delays, and the Runway tool uses schedule, passenger and crew data to recommend responses to disruption; it modelled 163 scenarios across 2024 and 2025. Chief executive Sean Doyle said: "The tech colleagues have at their fingertips has been a real gamechanger for performance."

Operational significance

These tools sit where delay is created and recovered, in stand planning, routing and disruption response, and BA attaches minutes saved to each.

Evidence still needed

The figures are British Airways' own and have not been independently verified. BA has not said how the minutes saved are calculated or how much of the punctuality record the tools account for, alongside extra staff and other investment.

Sources and verification (1)

British Airways media centre - AI flight operations story · Evidence grade A

A source can verify an announcement without verifying its projected outcome.

02 / Pilot

An early camera trial at Terminal 5

The operational problem

Turnaround tasks such as cleaning and catering were checked manually, so a task running late was often noticed only when the departure slipped.

What the evidence reports

Airport Technology reported in November 2019 that British Airways was trialling Assaia's system on three stands at Terminal 5, with four cameras. Neural networks compared the planned schedule with live footage of 18 turnaround activities and alerted managers by smartwatch when an issue could delay departure. Raghbir Pattar, director of airports, said efficient turnarounds were critical for an operation of up to 800 daily flights.

Operational significance

The trial was an early airline test of computer vision on the turnaround, a use that has since spread to many airports.

Evidence still needed

The trial has ended. British Airways has not published its results or said whether the system was adopted.

Sources and verification (2)

British Airways newsroom - Assaia trial at Terminal 5 · Evidence grade A

Airport Technology - British Airways Assaia trial coverage · Evidence grade B

A source can verify an announcement without verifying its projected outcome.

The wider register

Other tracked activity

Other records are shown separately, including non-AI technology and programmes at different stages of deployment. A register entry does not establish a measured AI benefit.

15below passenger notifications at British Airways · Deployed · limited scope

During the Heathrow shutdown, British Airways alone sent more than 120,000 notifications through the 15below platform between midnight and 8am, 15below wrote in a blog post on 25 March 2025.

Sources and verification (1)

15below blog · Evidence grade B

A source can verify an announcement without verifying its projected outcome.

Emu Analytics Mission Control towing digital twin at British Airways (Heathrow) · Deployed

Digital twin / AOP

Sources and verification (2)

OAG - Three Ways AI Is Reshaping the Travel Stack (June 2025) · Evidence grade B

Future Travel Experience - British Airways Mission Control (Emu Analytics) · Evidence grade B

A source can verify an announcement without verifying its projected outcome.

Editorial assessment

British Airways has put AI into the daily running of its Heathrow operation, and has published more operational figures for it than most airlines.

An independent measure of the tools' contribution, separate from the wider £7bn programme, would show how much of the record is down to AI.

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.