Open‐source AI at scale: Establishing an enterprise AI strategy through modular frameworks

Abstract We present a comprehensive enterprise AI strategy developed within the AI Center of Excellence at Fidelity Investments, emphasizing the strategic integration of open‐source AI frameworks into scalable, modular, and reproducible enterprise‐grade solutions. Our approach is structured around five key pillars: learning from offline data, learning from online feedback, intelligent decision‐making, automated assistants, and responsible AI practices. Through a suite of 12 open‐source libraries, we demonstrate how modular and interoperable tools can collectively enhance scalability, fairness, and explainability in real‐world AI deployments. We further illustrate the impact of this strategy through three enterprise case studies. Finally, we distill a set of best deployment practices to guide organizations in implementing modular, open‐source AI strategies at scale.