Recovering a delayed aircraft is one thing. Recovering an entire airline network is another.
An aircraft swap might save a departure but leave a crew out of position. Reassigning that crew could protect one rotation while creating a duty-time problem elsewhere. Meanwhile, hundreds of passengers may be heading towards missed connections.
Every recovery decision has consequences, and the best solution for one flight may not be the best solution for the airline.
Canadian aviation technology startup stratosX is developing an AI-powered approach to this challenge. Its platform, X360, is designed to help airline Operations Control Centres coordinate disruption recovery across aircraft, crew and passengers.
One Disruption. Multiple Consequences.
Airline recovery systems already use sophisticated optimisation techniques to manage operational disruptions. However, coordinating aircraft availability, crew legality, passenger connections and recovery costs across different systems remains challenging.
X360 aims to bring these considerations into a connected decision-support environment.
According to stratosX, the platform combines predictive intelligence and optimisation to identify operational risks, generate recovery scenarios and evaluate their consequences across the wider airline network.
Consider an aircraft delayed by several hours. One option might be to swap aircraft, another to reassign crew, and a third to adjust subsequent rotations.
Each solution carries different implications for aircraft utilisation, crew availability, passenger connections and operating costs.
X360 is designed to help controllers assess those trade-offs together rather than treating each operational problem independently.
Earlier Warnings. More Informed Recovery Decisions.
One of X360’s central capabilities is its predictive approach to disruption management.
stratosX says the platform is designed to identify emerging network pressure and high-risk operational periods earlier, giving airlines more time to investigate potential recovery strategies before problems escalate.
When disruption occurs, X360 aims to compare alternative recovery scenarios by considering passenger impact, operational timing and associated costs.
The objective is not simply to identify the quickest solution, but to help controllers understand which alternative offers the most effective recovery across competing operational priorities.
The company positions X360 as a decision-support system, with operational teams retaining responsibility for evaluating and implementing recovery decisions.
Air Transat Brings X360 into the OCC
The technology gained an important operational reference when Canadian leisure airline Air Transat became stratosX’s launch airline.
The carrier confirmed that X360 was being introduced into its integrated operations centre through a development and deployment collaboration.
The partnership provides an opportunity to evaluate the technology against real airline operational requirements, although publicly available information does not establish that every proposed capability is fully operational.
Neither company has published independently verified results demonstrating improvements in recovery speed, disruption costs or overall network performance.
For airline OCC teams, X360 represents an interesting development in how predictive intelligence and coordinated optimisation could support disruption management.
Its potential value lies not in replacing experienced controllers, but in helping them understand the wider consequences of recovery decisions before those decisions create further disruption.
The real test will be whether X360 can consistently turn complex, interconnected operational problems into better recovery decisions under the pressure of live airline operations.












