The convergence of Agentic AI and COVESA Vehicle Signal Specification (VSS) is opening new frontiers for intelligent vehicle data utilization. This session explores the market potential, application areas, and expected returns of applying autonomous AI agents to structured vehicle data, transforming raw signals into actionable insights and automated decision-making. We’ll examine real-world use cases across predictive maintenance, fleet optimization, and user experience enhancement, highlighting how AI-driven agents can interpret, reason, and act on vehicle data in real time. A live demo will showcase an open-source project leveraging COVESA VSS and Agentic AI to automate maintenance workflows—demonstrating the potential for cost savings, efficiency gains, and new revenue streams. Designed for both business leaders and technical innovators, this session will provide strategic insights and hands-on inspiration for leveraging AI-driven automation in the automotive ecosystem.