Aug 27, 2026 · 21 min · 7 segments
On this episode, Hanna Grene, Microsoft’s Global Go to Market and Innovation Leader for Energy and Resources, joins EEI Chief Legal Officer Rachael Marsh. They discuss Microsoft’s Community-First AI…
Rachel MarshGuest
Brian ReelHost
Samantha Phillips-GraziosiHostAnd because we're dealing with a level of complexity, both in what we're building.
I mean, the absolute behemoth scale of the capital infrastructure plans that are happening across the industry right now.
to build infrastructure, to improve our infrastructure, to get new generation online.
The benefits that I see there are, we've done a lot of work in AI for permitting and helping take what can be a very manual and slow process to build environmental permitting documentation, and even to do the front-end engineering design work.
One of our customers in that, Allo Atomics, saved $80 million using AI for permitting instead of taking a traditional approach.
And as we mentioned, the engineering and design work is not only about safety and accuracy, but repeatability and de-risking projects.
And then when I look into the grid itself, This system that we're building and we're building in more complexity as we go, AI superpower is helping us manage that complexity without compromising on reliability.
And so when we think about things like predictive maintenance, when we think about things like storm restoration and repair, it's about reliability.
There's a ton of phenomenal work that's been done and helping our folks in the field have real-time accurate information about the systems that they're working on that improve the safety and the productivity of our workforce.
Do you need to do two truck rolls to have the right piece of equipment at a site? Or can we provide some of the backend AI insights so that the equipment order was placed at the right time to get you the right equipment to go to the site with the right information? And so it's money, it's time, it's safety, it's reliability, and it's keeping the lights on for our communities.

And because we're dealing with a level of complexity, both in what we're building.
I mean, the absolute behemoth scale of the capital infrastructure plans that are happening across the industry right now.
to build infrastructure, to improve our infrastructure, to get new generation online.
The benefits that I see there are, we've done a lot of work in AI for permitting and helping take what can be a very manual and slow process to build environmental permitting documentation, and even to do the front-end engineering design work.
One of our customers in that, Allo Atomics, saved $80 million using AI for permitting instead of taking a traditional approach.
And as we mentioned, the engineering and design work is not only about safety and accuracy, but repeatability and de-risking projects.
And then when I look into the grid itself, This system that we're building and we're building in more complexity as we go, AI superpower is helping us manage that complexity without compromising on reliability.
And so when we think about things like predictive maintenance, when we think about things like storm restoration and repair, it's about reliability.
There's a ton of phenomenal work that's been done and helping our folks in the field have real-time accurate information about the systems that they're working on that improve the safety and the productivity of our workforce.
Do you need to do two truck rolls to have the right piece of equipment at a site? Or can we provide some of the backend AI insights so that the equipment order was placed at the right time to get you the right equipment to go to the site with the right information? And so it's money, it's time, it's safety, it's reliability, and it's keeping the lights on for our communities.

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