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Early-stage offshore field development requires screening of technical alternatives, robust scenario evaluation, and seamless interaction between multidisciplinary domains such as reservoir engineering, subsea architecture design, and economic assessment. Despite significant advancements in digital engineering, workflows connecting these disciplines often remain fragmented, relying heavily on manual data transfer, spreadsheet consolidation, and expert-driven interpretation. This fragmentation introduces delays, increases the risk of inconsistency, and limits the number of development pathways that can realistically be explored within Front-End-Loading stages. The increasing complexity of offshore reservoirs, combined with tighter economic margins and the need for transparent, auditable decision-making, highlights the necessity for integrated, automated workflows. By bridging simulation environments and conceptual engineering tools through programmable interfaces, it becomes possible to unify data flows, enforce engineering logic, and reduce turnaround time without compromising technical consistency. This paper presents a fully integrated framework that bridges the gap between numerical reservoir simulation and automated subsea concept generation. By leveraging a sensitivity cube approach derived from physics-based simulations, the proposed workflow facilitates the rapid synthesis of realistic field development architectures. This integration allows for the direct coupling of dynamic production profiles with rigorous economic assessment, enabling the calculation of Capital Expenditure (CAPEX), Operational Expenditure (OPEX), and Net Present Value (NPV) across a vast design space. Unlike traditional fragmented workflows, this system supports holistic iterative optimization between subsurface and facilities domains. The result is a substantial enhancement in engineering consistency, process autonomy, and evaluation speed, critical attributes for robust decision-making during early project framing and Front-End Loading (FEL) phases.