Thanks Fatima. So we are actually using, and you know I think we like many others are probably in early stages of using this, but we are using AI fairly extensively across a wide range of functions. So let me share a few examples. We are using, of course, AI in content creation. So as I'm sure you can relate to this, the role of content creation and marketing is critical. Marketing is always behind the curve on trying to figure out how quickly they can get targeted content for audiences that we want to target our marketing messages to. And by leveraging AI, we are seeing significant improvements in the speed with which we can turn around content and be responsive to the needs of the business. So in a lot of these things, Fatima, it's not just sort of trying to get operational efficiencies from a cost perspective. It is also timeliness of responses, accuracy of responses, more effective content, for example, and so on. Another area is, this is an interesting one from the perspective of tech support and dealing with our customer support issues. Very often technical folks will answer questions. And then what we want to do is of course create knowledge-based articles that other customers for that particular question could find it automatically. Right? And so that they don't have to talk to somebody. Now that's a laborious task, nobody really enjoys doing it as much. Again, we're using generative AI to automatically generate a knowledge-based article that then is edited and reviewed by the technical person who has answered the question to begin with, and thereby again simplifying and reducing the time it takes for that to be created. We're seeing, for example, in that scenario, 50% to 75% improvement in the responsiveness, how quickly we can get knowledge-based articles created for a particular issue. We are at the early stages of looking to apply Gen AI to really analyzing our customer contracts. I mean, the opportunities are to be honest, quite endless. And we are also deploying the Progress Data Platform internally as well. For example, the legal contract review process and other things, so that we can leverage internal corporate data. One of the most key challenges with using AI today is how do you make sure that your information, your knowledge, your data stays secure, stays private, is governable. While at the same time you take advantage of LLMs and other AI technologies. And our data platform is actually designed to do just that. And so therefore, to us, being able to also use our own products and demonstrate that we can use them and we can be beneficiaries as well, is also important. Early to say, Fatima, in terms of expense reductions and sustainability, but as we get data on those, we will come back and share that.