Most generative AI work has been fairly general purpose to date, but it is far more effective to develop expert models focused on specific industries. This episode of Utilizing Tech features Arun Subramaniyan, founder and CEO of Articul8 AI, in conversation with Guy Currier and Stephen Foskett. According to Arun, an agent is a model with a set of tools plus data that has agency to be called and interact with other agents. If these agents are domain-specific they can perform tasks more effectively than general purpose agents at certain points in this chain. Agentic AI is able to accomplish tasks previously thought impossible, and these systems keep improving. But people remain responsible for using and managing these systems. Costs can rise significantly if AI is used improper, but it is possible to deploy it profitably. Companies that can combine domain expertise with a novel AI-powered application are breaking free from the pack.