Agent autonomy meets EASA 📐, AI not terminals to lift capacity 🛫

Date (UTC): 2026-07-08

Hi its Sam Chandra - CEO/Founder of Deepsky and the author of this newsletter. Here’s my take on todays news - which represents the last few days of AI in Aviation happenings around the world:

It was a quiet week on the airline and cockpit side, the Americans took a holiday and the avionics world is saving its powder for Oshkosh later this month, so this edition leans into the ground operation, the military, and the AI world itself.

The SITA story took me back. Their OptiFlight fuel tool crossed my desk in my airline management days, and it taught me a lesson about hard savings that has stuck ever since, I have added the full story under that item. The two AI stories at the bottom belong together. An AI agent just ran a ransomware operation end to end with nobody at the keyboard, and in the same week Addy Osmani (a software engineering influencer) published a framework for how much autonomy to grant an agent and it reads just like a safety case! Aviation has spent decades working out what the autopilot is allowed to do, so for once the rest of the world is catching up to our way of thinking. Enjoy.

🧩 Airports & ground ops

Swissport Opens an AI Control Centre at Birmingham

Swissport stood up a 24/7 Integrated Control Centre at Birmingham Airport that uses AI monitoring, telematics and live surveillance across more than 2,000 pieces of ground support equipment in the UK and Ireland, chasing faster turnarounds and fewer ramp incidents.

SITA Says Software, Not Terminals, Will Absorb Growth

SITA’s new impact report argues AI, biometrics and digital operations can soak up rising passenger demand without pouring more concrete, it also mentioned its OptiFlight tool processed 2.9 million flights last year and saved operators 127,732 tonnes of fuel.

This is a tool I’ve had personal experience with. It was unusual at the time when it came across my desk, deriving the aircraft performance model by reverse engineering flight data, using a machine learning model (yes, advertised as AI back in 2019). But the real kicker was that it had a hard fuel saving, something that a lot of “solutions” pitched to me back then as a manager just couldn’t demonstrate. And in a low cost carrier, that was everything. It is a lesson that really stuck with me over the years.

Bangkok Rolls Facial Recognition Into Bag Drop

Airports of Thailand is extending facial recognition kiosks to self service baggage check in, using AI image recognition models that match a live capture of the passenger’s face against their stored reference images, linking that identity to the boarding pass and manifest so bags move without manual passport checks ahead of peak season.

🪖 Military

One Operator, Seven Vehicles: Swarm Aero Impresses the US Navy

At the Navy’s FLEX 2026 experimentation event in Key West, Swarm Aero’s Legion software let a single operator command seven different air and sea platforms plus dozens of sensors through one interface, running the chain from autonomous sensing through to engagement and going three for three on live fire hits.

Ukraine Fields an Interceptor That Finishes the Job Itself

Ukraine’s Contra Drone unveiled Peace Duck, a high speed interceptor that flies the final phase of an engagement without operator input, built to run down Russian Orlan and ZALA reconnaissance drones as part of a twenty system counter drone arsenal.

🧠 AI (in general)

The First Ransomware Attack Run Entirely by an AI Agent

Security firm Sysdig documented JADEPUFFER, the first extortion operation run end to end by an LLM agent, which handled reconnaissance, credential theft, lateral movement and encryption on its own and adapted to failures in real time, fixing one failed login in 31 seconds. For anyone running operational technology, aviation included, the skill barrier for a serious attack just dropped through the floor.

A Useful Map for How Much Rope to Give an Agent

Addy Osmani published a framework for agent autonomy built on two dimensions: agency, how much freedom a single agent gets, and orchestration, how well you coordinate many of them working at once. The agency axis will look familiar, it is more or less EASA’s three levels of AI in aviation, assistance, human machine teaming, then advanced automation. The orchestration axis is the one the regulators have not written yet, what happens when the question is no longer one autopilot but a fleet of agents supervised by another agent.

🧑‍✈️ Watch item

Oshkosh Is About to Open the Taps

AirVenture runs 20 to 26 July and the AI announcements are queuing up, with Airhart bringing context aware avionics that transcribe ATC calls, surface instructions visually and can even handle readbacks. Expect the next edition to be heavy with cockpit AI.

Sam here again, hope you have enjoyed reading this edition. The OptiFlight lesson from my airline days is still the right test today: an AI tool earns its place in an operation when the saving shows up hard in the numbers. Deepsky is built by seasoned flight operations people and we hold our own work to the same test, AI applied where an operator can actually measure the difference.

If that is on your mind, contact me at sam@deepskyai.com or visit deepskyai.com.