Fivetran's initiative to mitigate customer churn highlighted the challenge of deciphering customer signals scattered across various systems like Gong, Zendesk, and Salesforce. To address this, the company developed a streamlined workflow that utilizes BigQuery, a lightweight JavaScript script, and OpenAI's API to synthesize and summarize customer interactions, indicating potential churn risks. This data is collated in a Google Sheet for weekly review by product managers, with high-risk cases triggering Slack alerts to relevant stakeholders. This approach not only automates and accelerates the identification of churn signals but also required procedural changes, encouraging product managers to focus on actionable insights. The integration of generative AI proved instrumental in processing large volumes of data, emphasizing the potential for AI to enhance efficiency in tasks involving text generation and evaluation, while still necessitating human oversight. Fivetran's experience suggests that even modest AI implementations can significantly improve productivity and responsiveness to customer feedback.