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Abstract This paper presents an in-depth review of a new operator driven support model designed to enhance directional drilling performance by enabling remote steering and guidance personnel to directly support drillers utilizing automated sliding technology. The approach shifts responsibility for performance optimization from solely contractor controlled and supported to a more collaborative approach between the contractor and the operator's steering personnel, creating a more integrated and responsive workflow. The model's implementation centered on improving visibility, communication, and alignment between the operator's remote guidance team, the contractors’ remote support team, and finally field personnel. Key enablers included the development of a remote monitoring dashboard that mirrors the driller's control screens, improved access to real time automation sequences, and targeted training materials to strengthen remote support capabilities. Together, these tools allow steering personnel to monitor, assess, and suggest adjustments to sliding execution parameters more effectively, leading to more informed decision making and increased consistency in execution at the field level. Performance data following the rollout of the model demonstrates significant improvements across multiple key performance indicators (KPI's). A comparison of the most recent quarter's (Q3) results against the previous year's Q4 averages shows an increase in sliding rate of penetration (ROP) of 93% in the vertical, 50% in the curve, and 12% in the lateral. Pre-Slide times also decreased by 25%, 20%, and 3% respectively. All this was achieved without a measurable decline in slide scores or an increase in number of slides. These results indicate that further enabling the operator's remote teams with this more integrated model enhances performance of automated sliding systems. This paper introduces a novel approach in which operator steering personnel are empowered with the tools and workflows needed to directly influence field level performance from remote offices. The model provides a replicable framework for enabling operator's remote teams with the ability to strengthen automation outcomes and expand the role of in-house directional guidance teams.