Yes, I can hear you very clearly. And actually, as I reported at the beginning, we use AI extensively in our operations. And we also try and yes, leverage the technology capabilities developed internally for potential like external like opportunities like we have fintech partners, financial institutions that are interested in our solutions. And yes, I hope we'll see some results later this year or, yes, first half next year. At the same time, we try and build a strategic investment and partnership infrastructure like ecosystem. And so, we've made a couple of small, but in my view, hopefully, yes, very promising investments in the AI space, but their contributions are very tiny. And going back to our like AI, like the use cases internally, for example, like, we use AI in customer like acquisition, customer service, like we use robots like, and the large language models, yes, for like incoming out bounding calls, like say, when we detect the customer like emotions change, it's time to switch to like a human, like, operator, we will do that. And also, the machine can interact with a customer up to the right point to switch to the human, so on. And of course, we use voice recognition technology. And also, I gave the example, our large language models used in the Philippines, right, can do a great, visual recognition algorithm because in the Philippines, like IDs personal identification, like a paper work is really paper. So, it's not very digital and it takes quite some skills to detect the risk. So, AI plays a key role there and so on. So yes, basically, we use AI extensively in our own operations and some like technologies are really welcomed by outside partners, prospects like buyers, yes, so customers. So, we will try to monetize these technologies as well.