Yeah. Well, first, Sean, welcome back to the fold. We're excited to have you back. So yeah. So as you think about it, you know, AI has broad application across nearly all functions of our business. And so we're deploying agentic AI in, you know, again, across all of our functions. So if I break it down into a couple of areas to get to your question, so take on the services side, you know, we would kinda look at it as maybe a third, a third, a third between member services, client services, and then sort of like the back, back office type of operations. All three of those areas have slightly different needs and slightly different applications that AI can be deployed against. Most of our efforts today have really been focused on the member services portion of that. Because that's where a significant amount of call volume has when I think about that opportunity where we're starting from, and you should go back and look at the press release that we just put out in terms of our partnership with Parloa. We're looking at a lot of those voice interactions and trying to figure out how can we improve those interactions with an agentic experience. And so Parloa as an example will be our partner in terms of go-to-market there. On the client side, there's a lot of work that we do in terms of integrating files, taking large data sets in. A lot of that work we actually believe that we can automate with AI. So those are like a couple of things that, a, we have in market, we're thinking about, in addition to Claims AI as an example. When we look at product and technology slightly different, we certainly can see efficiencies that can be derived from AI in our product and tech team. But our product and tech team, we're really looking at AI to think about how is it that we can drive greater productivity. That productivity enhancements can show up in, you know, the speed and quality with which we can deploy code. But it also can be represented by the number of agents that we have deployed that are actually helping to create the next new product or the next new experience or the next new integration in a more seamless and integrated way. I think that's also where we have, you know, where we've really been focused on APIs and data to expose, again, those experiences that we can, you know, that we can roll out AI against. So, you know, as it relates to AI, we again we think we're in the early innings of a longer marathon. That we're optimistic because we're focused on it as a company and as each function to find those opportunities to, again, improve the experience, do it in a more efficient or a faster way.