Booz Allen Hamilton announced that it demonstrated the use of an in-flight artificial intelligence (AI) algorithm in support of the U.S. Air Force Air Combat Command’s 9th Reconnaissance Wing U-2 Federal Laboratory. This flight is the first time AI has teamed with a pilot to successfully complete a complex mission. The Booz Allen team delivered on several key milestones, moving AI from the lab to the skies in fewer than 40 days and accelerating the process by: Modifying an open source reinforcement learning algorithm. Developing two sensor-sharing and control games for the algorithm to interact with and learn from and training it to execute in-flight tasks. Developing a web-based User Interface available to pilots in flight. Arranging for Program Office approvals. Successfully flying the AI capability on the U-2 aircraft. The Federal Lab’s “Edge Processing” containerized microservices solutions improve system performance and allow for quick, dynamic prototype results inside normal acquisition timelines. Booz Allen used cutting-edge industry practices to deploy AI capability and speed the software-delivery process through automation of management and execution of containerized applications. This approach can help aircraft crews adapt to sudden needs by leveraging DevSecOps, a security-focused software-development-pipeline approach.