All right, we are live.

Today, everybody, it's a very special day.

We're talking with Jaron Jones.

We want to talk about AI business adoption best practices.

What you think is the current landscape in the marketplace

because there's some things that are going wrong and I think there's a lot of places to make

a lot of bad decisions. I'd like to hear from you what you think the current AI landscape

looks like, what the reality is, and where we're making a lot of mistakes,

or what we're doing, or where we're making good decisions. Yeah, I think two really important

things I'd like to touch on before we kind of get started on that, but good, good contacts.

One, MIT recently put out a study on companies adopting agentic AI. I think 95%

of companies, it's either not working or they've basically scrapped the project. There's a little

more context. So it suggests reading it, as with any paper. But obviously, a lot of businesses

are struggling with it. And the landscape, I don't know. I think a lot of businesses are struggling with it. And the landscape, I don't know.

I think a lot of businesses, they obviously have problems and they have things they

would like to automate, make less expensive, so on and so forth.

And maybe those things have kind of been sitting on a shelf for a long time.

And maybe you have like 10 or 12

really important enterprise workflows in your company. And maybe they all exist at certain levels of

automation and abstraction. Right now with AI, somebody's basically coming into every company,

multiple, multiple people, salespeople, people from other orgs, so on and so forth, and saying, hey,

these 10 or 12 problems, AI can totally solve those problems. And maybe for one or two of them,

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