Fivetran accelerates building GenAI applications for customer service by providing a fully automated and managed data movement platform that supports delivering high-quality, usable, trusted data to any data workload in BigQuery. Fivetran's automated data platform centralizes data in a secure way while modernizing data infrastructure, achieving greater data self-service and building differentiating data solutions like GenAI apps. The author sets up multiple connectors to sources housing customer service data using Fivetran, moves the data into Google BigQuery, and then quickly prototypes simple GenAI search and chat apps in Vertex AI. Vertex AI enables building generative AI apps quickly with a range of models to choose from and automatically trains, tests, and tunes predictive models within a single platform. The author builds two simple GenAI apps using Vertex AI and BigQuery, including a search app and a chat app, and showcases their performance and capabilities. Fivetran provides seamless integration with dbt, including more than 20 Quickstart data models for connectors like Jira and Zendesk, allowing for no-code transformations and analytics-ready tables. The author concludes that building search and chat Gen AI apps with Google BigQuery and Vertex AI is simple and fast, thanks to Fivetran's automated data pipeline providing reliability, scalability, predictability, security, and context for GenAI apps.