Welcome back to the AI Daily Brief.

Today we have part three of our agent readiness series featuring new FARGASBAR,

and we are digging into use cases.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

All right, quick announcements before we dive in.

First of all, thank you to today's sponsors, Blitzy, KPMG, Rovo, and Robots, and Pencils. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. For information about sponsoring the show, we are rapidly running out of inventory for Q1 now, so if you are interested and want to hear more about what's available, send us a note at sponsors at AIdailybrief.aI. Lastly, a reminder, as always, about our AI-R-OI benchmarking study. Thanks to all of you who have contributed now hundreds of use cases. If you would be willing to take one or two minutes to do the same. It is at ROIurvey.aI.aI.

In the first episode, we talked about the cultural dimensions of agent readiness with

Nufar introducing her change framework.

In part two, we talked about data and technical readiness, where we have found at Super

Intelligent that data issues are by far the biggest blocker for agent adoption across

all the different challenges that enterprises face.

Today we are talking about what makes for a good use case and where to invest your resources

in time. With this, you're going to get a little bit of an interworking in the way that we do

use case recommendations, and it should provide, once again, a nice, actionable framework

for how you can think about which use cases might benefit your organization

most.

All right.

Newfar, welcome back.

Part three of three.

This is technically we're calling this use cases, but I think this is like to make it practical,

like go do interesting things kind of section of the conversation.

I'll let you kick it off and frame it for us.

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