Customer feedback scattered across multiple platforms is a common nightmare for product teams at scale. Discover how Fivetran's product team transformed their overwhelming manual feedback management process into an intelligent, AI-powered system that processes thousands of customer signals automatically. Watch as this compelling explainer breaks down Fivetran's innovative approach to feedback intelligence, starting with centralizing data from Zendesk, Salesforce, and Jira into a unified warehouse. Learn how they layered sophisticated AI agents on top of this foundation to analyze technical feasibility, assess business impact, and generate personalized customer responses in minutes rather than hours. The video reveals the three-agent system architecture: an Assessment Agent that evaluates requests against product principles, a Browser Agent that researches external signals and competitor data, and a Synthesis Agent that combines findings into actionable feasibility reports with effort estimates. See how this automation transforms the traditional PM workflow from hours of manual research into strategic decision-making focus. Perfect for product managers, product marketing teams, and anyone interested in scaling customer feedback operations with AI, this video demonstrates real-world implementation of agentic AI in product management. Explore the technical stack, business impact metrics, and practical insights from Fivetran's successful deployment at scale. This engaging explainer video was created with Ngram.