COCO: An Agentic AI Assistant for Marketing Analytics

About this session

Marketing teams generate massive amounts of performance data — but extracting timely insights still requires SQL expertise, analyst queues, and days of turnaround. COCO is an agentic AI assistant that lets marketers ask natural language questions and receive data-driven answers in seconds. Built on a multi-agent orchestration architecture, COCO routes questions through specialized AI agents that understand marketing metrics, generate and execute SQL, and deliver human-readable insights across brand performance, omnichannel engagement, and patient trends. This session covers the journey from concept to production — including the architectural decisions behind multi-agent design, lessons learned from real-world evaluation at scale, and how we're using agentic AI to democratize data access for non-technical users in a regulated enterprise environment.