Determining sustainable fishery catch limits (quotas) is a critical natural resource management decision made annually for many stocks in the Gulf of America (Gulf). It is vital that fisheries managers have the tools they need to produce optimal quota estimates and understand the uncertainty and risks associated with proposed management actions. Management Strategy Evaluation (MSE) is a common approach used to quantify uncertainty, risks, and the overall likelihood of management options achieving desired outcomes. A core requirement of MSE is the availability of an operating model with sufficient complexity to simulate the relevant population, fishery, and management dynamics needed to evaluate the uncertainties and management decisions of interest. Many MSE analyses rely on bespoke operating models developed for a single purpose, generalized open source models focused on data-limited harvest control rules, or advanced spatial ecosystem models that are difficult to translate directly into stock assessment advice. The stock assessment focused MSE R package SSMSE was developed to operationalize stock synthesis assessment models used in the Gulf directly as MSE operating models. We will present our ongoing co-production effort to expand SSMSE capabilities to capture the full fishery and management complexity present in the Gulf and discuss the benefits and challenges of a real-time development workflow that aims to support critical management decision-making needs as they arise. Our work highlights the value of generalized model development that allows our ongoing analyses to be easily parallelized across multiple species simultaneously. We will review key management questions currently being evaluated, including the impact of recreational removals survey bias, fishery sector allocations, episodic red tide mortality, and harvest control rules on fishery quotas and population sustainability.