So we'll keep looking at what network APIs are bringing to this space.

Yeah.

Well, I think the early days of leveraging AI when the hype of AI began, I would say we were looking at how do we, you know, insert AI into various journey of a product.

But then-- So it was more technology-led to start with, and I think that was the biggest mistake and learning for us internally.

And once we started looking at what business problems do we solve for the customer, and for that, is AI going to be helpful? I think then we're starting to see more outcomes from AI.

So whether it is about fraud detection, customer service, network operations, uh, software development, even, let's say, responding to RFPs, right? How do we leverage the AI for outcomes? You know, we are starting to see a big shift and how we even measure the productivity of people is not about how much of AI you are really using or how much tokens you are using, but really at what speed were you developing a product feature, and at what speed you are able to resolve a customer query, how much you are able to deflect from actual call to WhatsApp or voice conversation using AI.

I think those are the conversations that we are having internally and with our customers.

So where is, where is this going? Is there a magic balance recipe that you can share right now or what should be done?