Third student of the day. You’ve been running behind schedule since this morning. The aircraft needs refuelling, and there are two aircraft ahead of you at the pump.
You have twenty minutes before the next flight, and the aircraft is booked right after…
You’re not going to cut the pre-flight walk-around. You’re not going to skip a checklist and that’s non-negotiable.
So what gets sacrificed?
Most often, reading the student’s file.
And nobody sees it. The flight happens, the student flies, the debriefing gets written. But the session was improvised instead of focused. You don’t redo the exercise they failed last time. You miss a fragile competency nobody had connected from one flight to the next.
To put the student back at the centre of the flight, we built the Student Indicators page: at a glance, where they stand on their progression curve, which competencies are solid, which are fragile, and which exercises need redoing. No more reconstructing a story from thirty files.
And today, we’re going further: the AI briefing.
In a few seconds, the instructor gets an in-depth analysis of the complete file: the underlying trends, the recurring difficulties nobody had connected, the points to work on as a priority today.
The session is no longer improvised. It’s focused.
And what about the student’s data?
It is pseudonymised before any processing. No personal identifying data leaves the platform: the analysis works on a pseudonym, never on an identity. Your students are not fuel for AI.
AI does not judge the student. It synthesises data and supports the instructor.
It doesn’t grade, it doesn’t decide, it doesn’t replace any debriefing. It reads what you don’t have time to read, and hands you back control. The judgement remains the instructor’s — it will never be delegated to a machine.
And in your school: when the day overruns, what’s the first thing to go?
🔗 cumulus.aero
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