Alberto Griselli
Management
Okay. So, let me take, the first one, and then we'll interact with Andre on the second one. So when it comes to the artificial intelligence, we are following a quite pragmatic approach. So we are deploying it. We are measuring the results. If the results are there, we are going to scale this up, in the coming years. So we organize ourselves since 2023 with an organizational structure that is quite transversal between the among the company that select the case studies and the one with the most potential economic potential, and the one that are closer to our strategy. So, this, this process led us to select something like 100 use cases where artificial intelligence can be applied. Now of this 100 potential use cases, we went down to a number which is around 10. There are the most promising in terms of alignment with the strategic fit and potential benefits and there are two clusters of these use cases that we are actually in the in the phase of implementing. One is related to the customer care, and the other one is related to the network maintenance. Why these two? Because these are in line with our strategic objectives that is to increase the quality of services that we are providing to our customers and at the same time, increase productivity. So where do we stand now with these use cases? We are rolling them out. As a matter of fact, we are rolling the artificial intelligence use case to all our internal service attendants for the call center. So we are moving from the piloting to the rollout and we are doing this, this month and the same we are doing with predictive maintenance of network. So we already we got three main vendors and with one of these vendor, we are already engaged in rolling out predictive maintenance based on artificial intelligence for field services. So what does it mean that starting from now, we will be in the position to see the impact of those use cases on a large scale, and we will be able to see if our initial hypothesis of increase of productivity and quality of services stands. If this is the case, if this is proved on this rollout, then we are talking about double digit reduction roughly in terms of cost to do these activities and at the same time, a potential benefit in increased NPS or network availability for the network side. So, we are planning this also. We need to see if it works, and we are in the process to prove this in two specific larger use cases for call centers and network maintenance. In the meantime, we are scaling up also the others that we selected, but the two main ones are these two that I've been mentioning. Don't know if it's clear for you, Vitor, this year. If yes, we move to Andrea for the for the second question.