EIXEdison International

“Through SCE's internal innovation program and in only a handful of development hours, frontline teams developed an initial proof of concept of an AI-driven approach that continuously monitors for these situations and brings them to the surface earlier with clearer and more actionable insights. Once implemented, we anticipate this approach could yield roughly $25 million in potential unbilled revenue savings over a 3- to 6-month period.”

“So I think it's still really early to get at a full sizing of what the potential with AI is. Pedro listed out in his opening remarks, a number of areas that we're leveraging AI. They span from things that we've already done in our customer operations. And so helping out our call center agents more quickly respond to customers and shorten the length of those calls. We're doing things like identifying trends around customer issues and frankly, flagging them before they happen, and we can get ahead with proactive communications to customers to deal with some of their challenges. There's a lot of emerging opportunity on the grid. It's developing tools that will automatically do designs of infrastructure. We're starting with the basics of like-for-like replacement to changes to how you dispatch your resources, changes to how you optimize your capital portfolio. So it spans kind of the entire business from procurement to grid to the customer side. It's still early days. We're getting -- we've got benefits that we capture and they roll into our forecast. But I think the total opportunity there is something that will continue to evolve, especially as the technology evolves so rapidly.”

“SCE is using AI models to improve grid inspections and identify maintenance needs with faster and more accurate diagnostics and enhance quality control. Since 2023, SCE has developed and deployed AI and machine learning models that are collectively capable of detecting nearly 100 unique object classes and dozens of defect conditions.”

“The data that we'll be gathering through AMI will be critically useful for us. Take a look, Ryan, at our application we do go through and quantify a significant amount of value that will come to customers from that program. And in that, we look at what's the case for a like-for-like replacement, and what's the case for -- what is a more expensive but much more valuable to customers, sort of state-of-the-art or near state-of-the-art metering initiative and how we could use data there to inform demand flexibility to provide customer signals to enable things like allowing customers to avoid the cost of a meter upgrade to charge their electric vehicle by better managing their electric consumption within the panel and within the meter that we have there.”

“I have shared on prior earnings calls examples of operational excellence in practice, including SCE's use of AI in areas like grid inspections, vegetation management and wildfire situational awareness, including the award-winning AWARE grid monitoring platform. The team continues to explore new AI-enabled process improvements across the entire value chain.”

“It's a good illustration of how smarter systems and disciplined execution translate directly into stronger financial controls and support long-term affordability.”

“SCE is also using LiDAR and satellite imagery to support precise proactive vegetation management to help prevent ignitions.”

“Exciting stuff. And also all of this is supportive of the 5% to 7% EPS growth rate.”

“the rapid ascendance of AI”