Ensuring customer transparency through electronic Video Health Checks (eVHC) is crucial in the automotive service sector, yet processing millions of videos annually presents a significant scaling challenge for manual review. This session explores leveraging multimodal Generative AI, specifically Google's Gemini models on GCP, to automate the analysis of high-volume eVHC videos within the automotive industry. We will dissect a practical implementation, showcasing an end-to-end serverless architecture built on Google Cloud for this use case. Learn how to handle data ingestion, video retrieval, and utilize Vertex AI and Gemini Flash for automated content extraction and summarization, deployed efficiently via Cloud Run. We'll discuss the potential for improved operational efficiency, scalability, cost reductions, and significant uplifts in key customer metrics like satisfaction scores and value per service visit. Join this session for actionable insights into deploying multimodal AI for video analysis, building robust serverless AI workflows on GCP, and translating AI capabilities into measurable business impact across the automotive service landscape.