A maintenance plan built from schedules, aircraft and staff
The operational problem
Planners have to fit engineers, aircraft availability and the flying schedule together, and redo the plan whenever one of them changes.
What the evidence reports
IAG said the platform combines flight schedules, aircraft availability and workforce constraints to generate optimised maintenance plans, matching engineers to aircraft at the right time, with a visual editor that lets planners adjust and own the result. AISmartPlan moved from proof of concept to a working tool in three months. Lucas De Almeida Ramos Faria, Aer Lingus' maintenance production planning manager, said: "What used to take hours each day can now be done in minutes, and with far greater confidence in the outcome."
Operational significance
Planners keep the final say through the editor, the same arrangement Lufthansa describes for its own AI maintenance planning. The measurable gains are planning time and how far ahead the team can plan.
The time saving is the airline's own description, with no published baseline. IAG gives no figures on aircraft availability, overtime or maintenance delays, and does not describe the optimisation method or where AI sits within it.
Sources and verification (1)
International Airlines Group (IAG) · Evidence grade A
A source can verify an announcement without verifying its projected outcome.