Case Study: Chick-fil-A achieves faster, scalable, and ethical production ML with Arize AI

Chick-fil-A - Customer Case Study

Chick-fil-A, the U.S. restaurant chain with more than 2,400 locations, needed to scale AI/ML across its business to preserve fast, consistent customer experiences while operationalizing models, detecting drift, and addressing AI ethics and bias. To support production-ready ML and responsible AI practices, Chick-fil-A turned to Arize AI for model monitoring and observability.

Arize AI’s observability tools are used by Chick-fil-A’s systems analysts and ML engineers to track model performance, surface anomalies, and accelerate remediation—helping keep features like app recommendations and social-media-based illness detection reliable in production. By using Arize AI, Chick-fil-A improved model reliability and operational scale across its restaurants, reduced time-to-detection and resolution of issues, and freed data scientists to focus on delivering business value while embedding ethics and bias considerations into deployment workflows.

Chick-fil-A

Korri Jones

Senior ML Engineer