TRIZ-AI™ is a real-time diagnostic and predictive system for electric vehicle batteries. Drawing data from OBD2 (on-board diagnostics) systems, the TRIZ-AI™ cloud-based AI platform monitors battery health, estimates remaining useful life (RUL), and identifies early signs of thermal (fire) risk. The system collects BMS data such as voltage, current, temperature, charging patterns and driving behaviors, which are analyzed using deep learning models to detect signs of degradation. The platform generates alerts and provides health check reports to help prevent hazardous failures and optimize battery performance. TRIZ-AI™ supports integration with insurance provider, fleet management, and government systems via APIs. It is currently being tested in a 6000 vehicle fleet and is designed to improve operational safety and battery lifespan across all EV platforms.