You know, if you're able to then work with, if you don't have business-wide context, I'll say, and you just have a little bit of context that you're feeding into your chat interface or into that particular agent, it's going to make that individual task much more efficient. But I go back to this notion that, you know, ultimately, if we drive bottom-lined impact for our customers, we got to make the organizations and the processes more efficient, which means we need our agents and we need not just agents, but we need our humans as well to be able to interact with the context that's across our entire data landscape, across our entire organization. And so that's where I see, you know, as much as things can go wrong because wrong data will ultimately lead to wrong outcomes with AI, same way it does with humans, right? Uninformed humans make wrong decisions all the time. But we also miss out on all the upside and all the potential that AI has to bring if we don't actually have context to our data and then we try to automate without it. I'm interested to know because obviously you mentioned, you know, it's a big space here and now, right? Everyone's, you know, in this space trying to kind of bring out the latest features, you know, the next best thing, you know, but from an existing customer standpoint, right, you know, and just based on conversations I've had with people as much as they love the thought of it. Is there pressure from existing customers? Obviously, you need to keep in, keep kind of competitive with the market, but is any of that pressure coming from the existing customer base for you to kind of implement these things as quick as possible? Absolutely. And I mean, I would expect nonetheless from our customers, from our partner. I mean, you know, we want to make our technology as useful to you as we can. And so that feedback, that pressure, in fact, helps drive, right? Because I mean, we don't want to, as an organization ever, you know, sit here and think that, you know, we somehow know everything about the market, where it's heading, you know, all the world can just listen to us, right? That sounds wonderful. But the reality is, you know, customers know what they need for their own business. And so that pressure is quite helpful, or at least, you know, that's what I tell myself when I talk to the product team.

To be able to have that context and to be able to have an understanding of that journey is absolutely, it's powerful. I like the idea of whenever we have guests on the show that paint the picture of, you know, use AI to become a superhuman. Like we're not saying the AI is replacing you, we're just making you the superhuman and having that AI as your personal assistant is just going to create that superhuman capability. Now, when we think about context from the consumer side, I think it's difficult to gain trust. I think we still have a lot of consumers that are not completely on board with context-rich AI when they deal with enterprises. So how do we deal with the skepticism? How do you build enough trust in an AI-driven interaction that the customer doesn't immediately ask for a human before the AI has even had a chance to help? The times that I have always asked for a human agent, and I speak from many, many different bad experiences I've had, is when I'm trying and I'm trying and I'm trying and this bot is just not able to solve my problem hours later. I think first it's important to be transparent. Let the person, let the customer know that they are speaking to a bot, but always give them an option to speak to a human agent. That's the first transparency is really critical. The second is always solve the problem. Otherwise, don't build it. If you are not solving a problem in the first couple of minutes, the customer is going to get upset. They're going to leave. They're going to possibly leave your entire brand. I mean, the number of times we hear customer, customer, customer, because the customer is frustrated because they are asking for an agent and they are saying customer service, customer service, customer service. And that's not going to work because the AI agent doesn't understand what that means. So it's just a really, really bad experience. So if you're not going to help the customer in solve their problems, then really don't build the AI. I like it. I like that the core idea of everything that you're saying keeps on going back to the customer, which is the ultimate goal and should stay the ultimate goal. And I think we are in a world where we tend to overthink the functions and forget that the customer is essentially why we're doing all of this. And having that as the focus point is very important.