Melbourne Airport Deploys AI Agents for Incident Response

Melbourne Airport has begun integrating agentic artificial intelligence into its incident response protocols for both aerodrome and terminal operations. The system is designed to provide rapid support during critical events by automating the retrieval of Standard Operating Procedures (SOPs) and assisting in the drafting of initial shift reports.

The implementation aims to solve a long-standing challenge in high-stakes environments: ensuring staff can instantly access the most current and compliant procedures during an emergency. According to Irfan Khan, the airport's Head of Data Analytics, critical incident information was historically kept 'in people's heads or SharePoint.' The new AI agents query the airport's SharePoint document repository to surface the correct SOP for specific scenarios, such as runway mishaps or medical emergencies. This initiative is particularly significant for an airport that served over 36 million passengers in 2025, making it Australia's second busiest.

Operational Integration and Impact

The AI system was detailed by Khan during a presentation at the Sydney Microsoft AI Tour. It functions by allowing operations staff to query for procedures using natural language. The agent then retrieves the relevant SOP and can also help generate a structured incident report for leadership. This directly addresses the regulatory context for Aerodrome Emergency Planning, which is overseen by Australia's Civil Aviation Safety Authority (CASA). By ensuring adherence to the latest protocols, the system enhances safety and compliance.

The primary impact is on Melbourne Airport's front-line operations staff, who face a reduced administrative burden. According to Khan, the AI reduces the reporting workload on fatigued staff post-incident, allowing them to focus on operational duties. For senior leadership, the system delivers faster and more granular incident reports from the offsite operations center. This is part of a wider data strategy that has already yielded a 30% increase in performance efficiency across data-related tasks since the airport adopted the Microsoft Fabric platform.

While the system enhances efficiency, the airport's data analytics leadership acknowledges potential data governance risks. One noted concern is the possibility of AI agents inadvertently surfacing sensitive personal information that may have been shared from employee OneDrive accounts linked to the system, highlighting the need for robust data security protocols.

Technical Analysis

Melbourne Airport's adoption of agentic AI reflects a significant industry trend moving beyond simple chatbots towards more sophisticated operational tools. The integration with existing document repositories like SharePoint is a key differentiator, enabling the AI to perform specific, value-added tasks like surfacing critical safety documents. This development is a clear example of agentic AI in aviation operations, where technology is directly embedded into safety-critical workflows.

This initiative also aligns with the broader trend of data democratization in the aviation sector. By leveraging platforms like Microsoft Fabric, airports can empower non-technical staff to query complex operational data and generate reports without direct IT intervention. The ability for an operations manager to receive a tailored, AI-generated incident summary marks a step-change from traditional, manual reporting processes. This move suggests a trajectory where AI becomes an indispensable co-pilot for airport management, enhancing decision-making speed and accuracy during irregular operations.

What Comes Next

The current implementation focuses on incident response and reporting. However, Melbourne Airport's leadership has indicated plans for expansion. The airport is expected to extend the use of its AI agents into the realm of predictive maintenance. This next phase is anticipated to roll out between 2026 and 2027, aiming to use data analytics to forecast and prevent equipment failures across the aerodrome and terminals.

Why This Matters

This development at Melbourne Airport is significant as it demonstrates a practical, front-line application of agentic AI in a safety-critical aviation environment. While many industries are exploring AI for analytics, this use case directly impacts operational resilience and regulatory compliance. It serves as a blueprint for how other major airports can leverage AI to augment human capabilities, reduce administrative friction, and ultimately enhance the safety and efficiency of their operations.