Fanatics Betting and Gaming uses AI to focus on the big picture

Fanatics Betting and Gaming, a division of the sports merchandise giant, is leveraging AI to shift focus from granular metrics to strategic business outcomes, according to an interview with CFO Andrea Ellis on the OpenAI Blog. The company employs machine learning models to analyze customer behavior, optimize pricing, and detect fraud, freeing human analysts to concentrate on broader trends. Ellis highlighted that AI tools have reduced manual data processing by 40%, allowing the team to reallocate resources toward growth initiatives. The practical angle for AI workflow builders lies in how Fanatics integrated AI not as a replacement for human judgment, but as an augmentation layer that handles repetitive analytical tasks. This approach requires careful data governance and model tuning to ensure accuracy in high-stakes betting environments. The result is a more agile decision-making process where AI flags anomalies and opportunities, and humans make the final calls. For developers, the key takeaway is the importance of building interpretable AI systems that complement existing workflows rather than attempting full automation.