What is the AXIS AI Debriefing Station?

Pilot training is becoming increasingly complex, with instructors expected to monitor vast amounts of aircraft data, observe crew behaviour and ensure consistent assessment in real time. To support this, AXIS Flight Simulation (AXIS) has introduced the AXIS AI Debriefing Station, an automated platform designed to enhance training quality, reduce instructor workload and bring new levels of standardisation to pilot assessment.

What does this new tool mean for instructors, trainees and training organisations?

We spoke with Product Manager Marcell Surányi to explore the thinking behind the product and the capabilities it brings to the simulator training ecosystem.

According to Surányi, the idea was born from a clear challenge: instructors are required to multitask at extreme levels during simulator sessions.

During routine checks, instructors must monitor dozens of parameters, such as aircraft configuration, speed, pitch and environmental factors, while also observing pilot behaviour and interpersonal dynamics. When the session becomes more demanding, such as during an unstable approach, the workload rises sharply.

Surányi explains: “Instructors have to process a lot of data simultaneously. During high-workload events, the number of parameters to monitor increases further, but the human-factor assessment still requires full attention.”

This is where the AXIS philosophy comes in: machines are excellent at monitoring parameters, but humans excel at evaluating behaviour.

The AI Debriefing Station is designed to divide that workload intelligently.

How the AXIS AI Debriefing Station works

The AXIS AI Debriefing Station continuously analyses the complete data stream from the simulator. This includes:

• Aircraft parameters such as speed, pitch, altitude and configuration
• Pilot inputs, such as column and pedal positions, and control interactions
• Environmental data, such as temperature, wind or runway conditions

This real-time processing enables the system to recognise manoeuvres, identify which pilot is flying and track whether performance stays within acceptable limits.

One of the system’s most powerful capabilities is its ability to differentiate between a normal variation and a meaningful performance issue. To do this, the system is highly customisable, and thresholds for acceptable deviations can be given based on aircraft documentation, ATO-specific Standard Operating Procedures (SOPs) or training objectives. These can then be further refined with statistical parameters from the training data.

This flexibility means that the system is reflecting the standards of each training organisation, rather than a generic standard.

The data processing unit connects directly to the simulator, while the evaluation platform is web-based and accessible on training centre systems or instructor devices. This simplicity keeps installation time low and ensures minimal disruption to ongoing training operations.

The role of AI in the Debriefing Station

While the AXIS AI Debriefing Station automates the technical side of data capture and analysis, the instructor remains central to the training process. During implementation, AXIS works closely with each customer’s instructor team to fine-tune the system so that its evaluations reflect their specific standards, SOPs and expectations.

Surányi says: “The AI delivers a recommendation, but instructors can always override it. Their experience is irreplaceable.”

The AI handles the multi-tasking and parameter monitoring, while instructors remain responsible for interpreting behaviour, decision-making and overall performance.

The AXIS AI Debriefing Station represents a significant advancement in how simulator sessions are assessed and understood. By combining automated data monitoring with instructor expertise, it brings together the strengths of technology and human judgement.

Read more about the AI Debriefing Station.