FFAI’s optimization agents generate and compare schedule scenarios and present the trade-offs side by side so schedulers can decide quickly. Unlike general-purpose AI assistants, which can occasionally offer options that break operational rules, FFAI’s optimization agents treat real-world constraints as hard rules, so every scenario presented is valid, and they show why each change is proposed. 

Operators can see the schedule across aircraft and crew, understand the rationale and projected impact of proposed changes, and evaluate options with greater transparency.

In a demonstration using a representative dataset of 40 aircraft and 116 trip demands over three days, the company’s highest-performing scenario identified 51 schedule changes and reduced projected operating costs by approximately $86,000, or 5.78%, from about $1.48 million to $1.4 million. The system calculated the schedules in seconds.

According to the company, the product applies equally to home-base and floating-fleet operating models. Available now to FFAI customers, it extends the company’s aircraft scheduling, crew assignment, and crew rostering capabilities with a more adaptive approach to planning.

“Operators are balancing cost, customer commitments, and aircraft availability in an increasingly dynamic environment,” said FFAI founder and CEO Roger Zhan. “Agentic scheduling gives teams the ability to evaluate more possibilities in less time and to see the operational and financial implications of each option. The AI informs the decision; the operator remains in control of what gets approved and implemented.”

FFAI plans to launch additional capabilities, such as continuous reoptimization, early next year.