Imagine a world where releasing car software updates is as smooth and efficient as updating your phone apps. That's the promise of GoNoGo, a groundbreaking AI system poised to transform the automotive software release process. Currently, deciding when to release new software for cars is a complex, manual process. Teams of engineers pore over mountains of test data, trying to spot critical bugs and vulnerabilities before a release. This is time-consuming, expensive, and prone to human error, especially given the intricate web of interconnected systems in modern vehicles. GoNoGo offers a smarter solution. This AI-powered multi-agent system acts as an intelligent assistant, automating the analysis of test results and providing clear, actionable insights to release managers. GoNoGo uses Large Language Models (LLMs), the technology behind tools like ChatGPT, but with a crucial twist. It's tailored specifically to the automotive industry, understanding the unique terminology and risk factors involved in releasing software for vehicles. This isn't just about finding bugs; it's about making informed decisions that balance speed, safety, and business goals. The system breaks down complex queries about test results into simple steps, effectively translating human questions into computer instructions. Then, it generates Python code to execute these steps, sifting through the data and delivering concise reports that highlight key findings. Our research shows GoNoGo can automate the decision-making process for simpler tasks with impressive accuracy, achieving near-perfect results in our tests. For more complex tasks, it serves as a powerful assistant, significantly reducing the workload on human engineers. By providing faster, more reliable insights, GoNoGo helps release managers make quicker and more informed decisions, accelerating the delivery of new features and updates to drivers while upholding the highest safety standards. The future of car software releases is here, and it's intelligent.