The automotive industry is undergoing a period of incredible transformation. New technologies entering the vehicle include more software, electric powertrains, and new sensors. But perhaps the most important change is the deployment of artificial intelligence. Today, vehicle AI is no longer a future concept.

The first two parts of this series made the case for the Agentic Loop as an architecture — the problem it solves, and what happens at each of its five stages, from detection through learning. This final post is less…

The process of diagnosing and debugging vehicles is a critical area that can benefit greatly from AI-driven optimization. Modern vehicles are more complex than ever, with some containing as many as 1,400 computer chips, so empowering both vehicle engineers during the pre-production phase and automotive repair service technicians post-production can deliver significant benefits to car makers and consumers alike.

Artificial intelligence (AI) in the automotive space is often associated with self-driving capabilities or digital assistants. But a quieter transformation is underway that’s reshaping a core part of vehicle ownership: service and maintenance.

Everyone knows that the vehicle maintenance experience can be improved. We believe there is an opportunity to use AI for vehicle maintenance to deliver a better experience.