Acxiom, a leader in customer intelligence and AI-driven marketing, faced challenges in scaling their AI-based audience segmentation system. The team initially used lightweight logging solutions but found them insufficient as their user base grew. To address this, they adopted LangSmith, a testing and observability platform that offered critical debugging and scalability features, enabling seamless integration with Acxiom's existing hybrid ecosystem. LangSmith provided full visibility into LLM calls and workflows, aiding in troubleshooting and optimizing token usage. This integration allowed Acxiom to enhance their application, achieving more refined audience segments, improved campaign optimization, and scalable growth for marketing initiatives, transforming their technical vision into a user-friendly and precise marketing solution.