NASA's TBFM (Time-Based Flow Management) system uses AI-assisted algorithms to sequence and schedule aircraft arrivals, optimizing traffic flow into busy airports by predicting arrival times and suggesting metering advisories to controllers.

Frequentis and DFS Deutsche Flugsicherung developed an AI-based conflict detection tool called iCAS that alerts controllers to potential aircraft separation violations several minutes in advance, reducing cognitive load during high-traffic periods.

SESAR (Single European Sky ATM Research) has trialed machine learning systems that predict sector traffic demand and recommend dynamic airspace reconfigurations, assisting controllers in managing workload before congestion occurs.