Service and asset teams handle a constant stream of requests, work orders, and field activities, and much of it is still triaged and updated manually. This session looks at how AI agents can support service operations across asset management, rental, and field service in Dynamics 365 Finance & Supply Chain Management. We will cover AI-driven service triage that interprets incoming requests, identifies likely root causes, and routes work to the right workflow. You will see how asset intelligence can predict failures, recommend service actions, and generate work orders, while copilots assist technicians with contextual instructions and automated documentation. We will also walk through a rental and service scenario that combines dynamic pricing, utilization optimization, and automated scheduling. Throughout the session, we will demonstrate real-world scenarios that show how agents capture service data in the background to refine future recommendations and reduce downtime, manual entry.