What is very clear to me with the kind of evolution revolution in the AI space, is that we're going to need to pivot very, very rapidly to a new way of thinking. We need to be smarter and more creative around how we approach our processes, how we approach all of those key aspects across our network lifecycle. That obviously comes with its complexity. We have to overcome the legacy challenge. It's not possible to automate everything within our network today, and so we need to make sure that we're evolving, that we're simplifying and we're making the right investments to do this.
What about market drivers?
For me, autonomous networks is all about really linking that principle of, you know, hyper scaling the use of AI automation technologies to be able to deliver strategic goals for the business, but also deliver the best customer experience. Blueprint was not something that was on my radar. It's something that Ben and the team brought towards us and said, "Look, we're gonna start experimenting with this," which is great. We want that kind of organic innovation happening across the organization. The main goal of this solution is to take all of that goodness from the data and insights and the AI, which is telling us where we need to focus, and then is helping to hone that by building the work stack, prioritizing for our optimizers where they need to go and make interventions on our network. Blueprint has really, really helped us completely reimagine the way that not only do we look at requirements analysis, but the way that we engage the customer throughout that process. Instead of now taking two to three months, they can map existing processes, generate the 2B, come up with a backlog of requirements, and crucially, get working product into the hands of the users within that 48 hour period. So for us, certainly when it comes to the type of areas where we deploy the Pega capability, it's nothing short of revolutionary.
You know, since you've been working with Blueprint, on one of your major projects there's been 30% less rework.
[Simon] Yes.
[Jo] And 10% efficiency gains.
Those stats are real, they're validated, they've been presented widely across the business, and I actually think we can go further by bringing forward working software, users getting their hands on it, we're able to build a better minimum viable product from the get go. Therefore, minimizing change requests to be able to do the basic function it was designed for, and instead using that time and effort to add features and innovate. That's what I really like. We're very, very keen to build once and deploy to many across our markets because it enables us to be more standardized, more consistent. Everything that our joint Pega team and the partners that work alongside us have touched in the last three years has literally turned to gold. It's generating huge return on investment for every single application, or you know, workflow that we build on top of the solutions. And we're very thankful for Pega for helping us with that journey.
