Abstract Directional drilling plays a crucial role in wellbore trajectory control but traditionally requires continuous human intervention. On Lump Sum Turnkey (LSTK) rigs, where efficiency and precision are essential for meeting strict cost and schedule constraints, the adoption of digital technologies becomes imperative. This study investigates the implementation of an autonomous directional drilling system to enhance operational performance on LSTK rigs. The autonomous system was deployed in Middle Eastern fields to automate the directional drilling process. Using advanced cloud-based software and intelligent systems, the technology establishes a continuous feedback loop between surface and downhole tools. It processes real-time trajectory data, evaluates multiple projection scenarios, determines the optimal trajectory, and transmits commands directly to downhole tools—eliminating the need for human intervention. The system was evaluated on 29 BHA, drilling a total of 77,000 feet autonomously. Compared to offset wells, the system demonstrated a 24% increase in the rate of penetration, a 33% reduction in surface downlink commands, and a 22% reduction in well tortuosity. These improvements streamlined directional drilling and enhanced operational efficiency, facilitating smoother tripping and tubular running—key factors in LSTK projects. This study highlights the potential of autonomous directional drilling to redefine turnkey operations by minimizing human dependency, enhancing precision, and improving overall efficiency. These findings reinforce the transformative role of automation and digitalization in optimizing wellbore trajectory management on LSTK rigs. Summary for Conference Program Autonomous directional drilling is revolutionizing efficiency and precision on LSTK rigs by reducing human intervention and leveraging intelligent systems. This study explores the deployment of an AI-driven system that automates the directional drilling process, enhancing performance through real-time trajectory analysis and automated downhole control. Field trials demonstrated significant efficiency gains, including a 24% increase in the rate of penetration and a 22% reduction in well tortuosity. By improving drilling accuracy and operational efficiency, this technology presents a scalable solution for the evolving demands of LSTK projects, underscoring the transformative potential of AI and automation in modern drilling operations.