Verticalization matters because AI needs to understand specific workflows in law, medicine, or other industries to actually work. Generic solutions can't handle the thousands of distinct processes across sectors. Deep domain knowledge is how you build automations that become intelligent agents.
Like, and that's why verticalization's so important. You, you can't help someone at the application layer or business process layer if you, if your clients look like everybody. Mm-hmm. Because there's just, there's thousands of different business processes. But if all of your clients are attorneys or all of your clients are osteopathic physicians, we have any, but as just as a point, you need to be able to help them and leverage. You can't write an automation if you don't understand their process, and you definitely can't turn that automation into agentic AI if you don't understand the automation. So getting closer to the client and understanding their business process, their workflow.
