Menzies Aviation adds AI to MORSE after 46,950 hazards

By Elena Vasquez

Menzies Aviation identified 46,950 hazards globally in 2025, 29% more than in the previous year. The findings came through teams using its MORSE platform across operations spanning 347 airports in 65 countries.

More than 6,800 potential disruptions have been prevented so far this year through hazard reporting. Those include an aircraft tyre defect identified in Romania before it could affect operations and undeclared dangerous goods detected in Uganda before loading.

For shippers, carriers and freight forwarders, the commercial consequence is service continuity. The cases show intervention before an aircraft or loading process is affected, limiting the disruption that a defect or dangerous-goods problem can create.

Menzies attributes the 29% increase in identified hazards to a focus on proactive reporting and risk management. The scale also gives the company a substantial base of safety information on which to develop its AI functions.

How is AI changing safety decisions?

MORSE stands for Menzies Operating Responsibly, Safely and Effectively. The digital Safety Management System combines incident and hazard reporting, investigations and safety data in one platform, giving teams real-time visibility of safety and security risk.

Menzies has introduced AI capabilities within MORSE to improve the quality, accuracy and consistency of safety reporting and investigations. For operational teams, better information supports more consistent decisions when they assess a risk.

Yogesh Parekh, Menzies Aviation’s chief safety and training officer, said: “AI is helping our teams produce clearer, more consistent reporting and investigations, giving them better information when making decisions on safety and security. Technology will never replace the expertise and judgement of our people, but it can help them make better-informed decisions.”

He said safety and security underpin every service Menzies delivers to customers, while MORSE already provides a framework for identifying, investigating and learning from incidents across global operations. Parekh added: “As these capabilities evolve, we see significant opportunity to use data and insights to better understand emerging risks and continue improving safety performance across our network.”

How does prevention affect cargo continuity?

Romania and Uganda show the benefit at two points in the operating chain. Romania illustrates prevention before an aircraft tyre defect could affect operations; Uganda shows detection before undeclared dangerous goods are loaded. In both cases, the safety intervention occurs before the associated service interruption.

That sequencing matters commercially because prevention at the aircraft or loading stage can preserve continuity without a safety response becoming a service interruption. Menzies has quantified the immediate outcome: more than 6,800 potential disruptions prevented so far this year through hazard reporting.

Menzies presents the 29% increase as evidence of more proactive hazard identification and risk management. The 46,950 hazards recorded in 2025 sit alongside more than 6,800 potential disruptions prevented so far this year, showing the reporting-to-prevention chain.

What will AI do next?

As the capability develops, Menzies plans to explore how AI can identify patterns and the contributing factors behind incidents. The intended result is earlier visibility of emerging risks and more preventative action across the network. Rather than stopping at a record of what happened, the system could help teams see which conditions precede similar events.

That approach fits Menzies’ existing use of MORSE across airport operations. The platform already provides real-time visibility across 347 airports in 65 countries; pattern detection could add a forward-looking layer to that reporting record.

Those reporting volumes and interventions give Menzies a substantial operating base against which to assess the next phase of AI. The immediate test is whether clearer reports and pattern detection produce earlier intervention and more avoided service interruptions.

The freight-sector measure to watch is whether those clearer reports produce more avoided disruptions while operational interruptions remain low. As MORSE’s AI develops, Menzies says it will use data and insights to identify emerging risks earlier and prevent more hazards from becoming service interruptions across its 347-airport network.