WEBVTT

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Hey everybody, welcome back to another episode

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of Vision Pros Live. My name is Fletcher Owens

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and I'm your host and coach today on the show.

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We're talking with another man who's got a vision.

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We're going to dive into that vision. But first,

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welcome to the show, Mike LaVista. How are you

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doing? Fletcher, great to meet you. Thanks for

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getting on with me this morning. Good to meet

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you. Yeah, right on, man. You are with Caxi,

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which is a software and AI consultancy. Before

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we get into that. I always like to start off

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with the program with something that's going

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well. I'm going to ask you, what's a win in your

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life, professionally or personally? The reason

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I do this is there's a lot of uncertainty in

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the world. There's a lot of suffering going on.

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And I like to practice directing our focus to

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something that feels good once in a while. Lay

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it on us. What do you got? No, that's great.

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You got to start up so you can deliver other

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stuff later. So I think what's going well for

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us is, and maybe other people experience this,

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especially like in the consulting agency world,

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people weren't making decisions there for about

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eight months, a year. Just everything we had

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was getting pushed back and pushed back. And

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I don't know what it is. I'm not a global economist

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or anything like that. So I feel like in the

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last... four to six weeks we've had more people

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say yes to moving forward than like the prior

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six months and so it feels like some momentum

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is picking up and i mean obviously we'll get

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into it but you know being in in ai and uh and

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software means that there's at least a lot of

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activity and conversation about it and there's

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maybe nervousness about what it'll be and how

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to move forward but it seems like people are

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finally decided listen it's time to jump in we

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got to do something Yeah, I agree with that.

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I definitely feel I hear both sides of the conversation

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and everything in between, but I think that's

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accurate. There's a sense of some momentum creating

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and more embracing, right? Yeah. Good, good,

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good. So tell us a little bit about what Caxi

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does, because when we talk about software, we

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talk about AI, boy, that might mean something

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completely different to every person you talk

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to. I've got kind of a crazy little mission,

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which I discovered by accident when I was looking

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at what we've been able to accomplish as a company

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with some of our clients. And what I realized

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is that we've been around creating 700 millionaires.

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So seven space hundred millionaires. And I got

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this crazy idea, you know, let's go for 25. So

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I got a mission to find, what is it, 18 more

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where we're taking a company that's growing and

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just like pour some kerosene on the fire and

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just really like let's go do something amazing.

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And there's a book and an idea out there that,

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you know, 10X is better, is easier than 2X. And

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the idea behind it kind of summarizes, you know,

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if you want a 2X your business, I think. Really,

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you just you work harder. Maybe later you add

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an extra shift, whatever. But if you're going

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to 10x, you got to do something totally different,

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totally new. And that's really where our company

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comes in, where our specialty is, is that we're

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really good at coming into a company and figuring

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like, where are you? Where are you missing the

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mark on just how you're how you're operating,

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you know, using software, not using software?

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And what would happen if you were to inject,

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you know, an AI sort of thinking creative mindset

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into that business? What would happen? Start

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with low hanging fruit that amounts to that 2X

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idea, which is like, you know, we can do this

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little part of the business better and faster.

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You know, maybe we can get invoices out faster.

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We can get quotes out faster. We can do pricing

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better, et cetera. But it's not until you really

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like. Think of like a new way of operating. So

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sometimes that's, you know, it's a digital product.

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You make a company that isn't a digital company,

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a software company, and all of a sudden when

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they're looking at an exit, instead of looking

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at six or eight times EBITDA, they're looking

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at 20 or 22 times EBITDA. It's a different equation.

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So that's kind of where we really like to plug

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in. We want to help you go faster. We're looking

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for people that are already winning and they

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want to win more. Got it. Yeah, thanks. That's

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very clear. And to your point, yeah, that. that

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first um getting you know doubling tripling yeah

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that takes a lot of effort and it all takes effort

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i'm not saying that but i think what we've seen

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demonstrated is what you've just spoken to with

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many of these uh big companies apple nvidia um

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you know all these where they were wildly successful

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but to reach a trillion dollar uh the trillion

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dollar mark seemed so far out there and then

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when they did it that second trillion and third

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trillion and like i think nvidia has hit four

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trillion or close to i mean that's like unheard

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of and i mean i don't i can't even comprehend

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what that means but but that does um give credit

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to exactly what you just talked about yeah it

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is funny because i feel like i remember just

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getting on nvidia for a second i remember when

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they hit whatever that that trillion dollar mark

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was and i remember thinking to myself like there

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aren't too many companies like that so surely

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how much higher could it possibly go and luckily

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i held because i think it's doubled since then

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uh like i think it was under 100 earlier this

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year that in that earlier crash and now it's

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at 185 or something like it's it's bananas what's

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going into that market and we're not I'm not

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a stock analyst guy but like is it overvalued

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is not for me to say but like what it says is

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the the vector that we're going in is that's

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the future and it's funny we've had a couple

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comments on some some of our videos lately where

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it's like people are nervous about AI and it's

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like you know what am I supposed to do about

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it and I think it's in a way it's too late to

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be nervous because if you don't do anything someone

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else is going to blow your doors off and if you

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I always like to think about if you were to start

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your business today how different would it be?

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It'd probably be AI native. It'd be like technology

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native. And just because you're 10 or 20 years

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old, isn't an excuse. Like you have to find a

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way to innovate or someone else is going to find

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a way to do it better. Yeah. I agree with that.

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Also the conversation about, well, gosh, should

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we, should we, should we embrace AI? Should we

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not? No, no, no. We're way past that. Yeah. And,

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and most all of us have. have been and are interacting

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with AI on some level. And we've been doing so

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for many, many, many years. We just didn't realize

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it. Right. That's a great way to look at it.

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Yeah. It's been around. And honestly, like in

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our space, it's almost like, you know, we started

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with AI and machine learning, you know, seven,

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eight years ago. And a lot of this stuff has

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been around. It just wasn't at scale. So it's

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not exactly new. And, you know, just split a

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hair like, you know, the... The LLMs out there

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like ChatGPT and Cloud and stuff like that, that's

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not all AI has to offer, but it's become so useful

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to everybody that that's where we're focusing.

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But you're right. It's too late to stop the train,

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I think. Yeah. And so for those people who are

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listening to this conversation and might be thinking

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like, well, I don't know. I heard a quote the

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other day, and I think it's very applicable for

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this conversation. Instead of resisting and...

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hymning and hawing, I invite you to invite the

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friction, meaning embrace this idea and because

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it is here, so embrace it and see how can I harness

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this and where can I, how can I harness it and

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have it serve my life or serve my business, right?

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And is that kind of some of the work that you

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all do with businesses? You know, it's funny.

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So you hit on a code word for us, which is friction.

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And in a way what we look for in a business is

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where is the friction happening and find a way

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to blast through it. Because, you know, if you

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think about like where where friction is in like

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your everyday life, it's where you have gains.

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Like if you know, if you're lifting weights like

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the heavier weights or you get the gains, if

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you're practicing an instrument, it's when it's

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uncomfortable. You don't know what you're doing.

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That's where you get the gains. So you really

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have to embrace that or you're basically you've

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given up and you've said, I'm just going to do

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the same thing over and over again and hope I

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get different results. Yeah. Yeah, exactly. Yeah.

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So invite that friction. Learn from it. Move

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through it. right and and then there's going

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to be the next level of friction um so if somebody's

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uh listening to you to us right now mike and

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they're like well yeah i mean i've got a company

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it's small i don't know could this benefit me

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i mean what size companies do you all work with

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and and who's and how does the company know when

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they're ready to begin to implement some sort

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of ai technology so i would say um i'll answer

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those in reverse um the Really anyone can jump

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in and likely probably has. So no matter what

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your scale is, I hope you've played around with,

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you know, a chat GPT or a Gemini or a cloud or

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something. And you've tried, you know, writing

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an email or responding to an RFP or all that

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kind of stuff. I think where we come in is this

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idea we've we've come up with about operationalizing

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AI. And so when you think about. Terrific. You

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have a chat bot you've created and you're working

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with by yourself, right? But as soon as you need

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to roll that out to a company of two or five

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hundred or a thousand people, all of a sudden,

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like the software. things that we've been good

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at you know for 20 plus years come into play

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like well how do i make it secure and how do

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we deal with storage and how do we make sure

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that you can log in and how do we make sure that

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when someone leaves the company they can't get

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back all that sort of software process stuff

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becomes like how you operationalize your idea

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that maybe you played with an ad and so for us

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that means we're probably working with companies

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50 million and up But, again, not to say you

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shouldn't work with it. I think you can have

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a lot of success at any scale, really. It's more

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about you might need help. For example, if you're

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not a company that does software, you will definitely

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need help building out a program that makes it

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into your entire company, or you will almost

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certainly get hacked or it will break, like all

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the bad consequences that happen when software

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is at scale. Got it. Okay. pricing and accessibility

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price -wise, because I have no idea about this.

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I told you I was going to ask a lot of elementary

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questions. For the average, let's say, company

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of 20 to 50 people, small business, is there

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an accessible AI software? package that can help

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them that i mean i don't even know what pricing

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is for these types of things i mean i i use chat

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gpt right and i just use the free version because

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it's sufficient for me i don't even have a clue

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as to what the pricing is for these types of

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things um can you kind of clue me in on some

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of that yeah sure so i think um i like to look

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at it from maybe the other side of the telescope

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which is to say what's the size of the problem

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you're trying to fix so um if you were to walk

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into you know, a car dealer and be like, how

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much are the cars? They're definitely, what are

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we, what are you trying to get into? Or is this,

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you know, are you a Cadillac guy? You're a Chevy

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guy. I used, uh, you know, a Chevy, whatever.

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Um, so I like to think about, um, like for example,

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the, the ROI on chat GPT is close to infinity,

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right? Cause if you're. If you're not spending

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a dime on it, then it is infinity. And if you're

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spending the 20 bucks, you got a little extra

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firepower that you're like, this is actually

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kind of nice to have it, you know, a little more

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trying to use like the buzzwords, but like more

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tokens, more context, it'll give you better results.

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So when we work on a problem, what we're looking

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for, and I think this is what you want in any

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service provider, any kind of consulting provider

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is what you want is you want to identify a problem

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that it costs you a lot to not fix. If I were

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to come into your business and you've got a,

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we'll do that $50 million business idea. If you

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go into a $50 million business, actually, there's

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a true story. And what we find is you are losing

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a million dollars a quarter by estimating with

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the wrong data. And so this particular company

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was – they have a spreadsheet with all your past

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quotes. And we've probably all done this. When

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you make a new quote for someone, you probably

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bring up the last time you had the spreadsheet,

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open it up, save as, and here's the new quote.

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Well, this company was doing that over and over

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again using data from the last time they did

00:12:16.379 --> 00:12:18.340
it, which was six months ago, a year ago, 18

00:12:18.340 --> 00:12:20.629
months ago. And guess what? Products change,

00:12:20.750 --> 00:12:23.929
pricing change, tariffs affected some of their

00:12:23.929 --> 00:12:25.870
stuff. And so you send out a quote and all of

00:12:25.870 --> 00:12:27.769
a sudden now instead of you're shooting for a

00:12:27.769 --> 00:12:29.590
22 % margin, all of a sudden you're underwater

00:12:29.590 --> 00:12:33.509
from day one. That's a big problem. So if we

00:12:33.509 --> 00:12:35.889
come into a company that's losing a million dollars

00:12:35.889 --> 00:12:42.850
a quarter, in a way, $999 ,999 and under is a

00:12:42.850 --> 00:12:46.850
win. And so – because once it's fixed, you get

00:12:46.850 --> 00:12:48.830
that million and a quarter forever. Like once

00:12:48.830 --> 00:12:51.009
it's gone, right? And so really it's all about

00:12:51.009 --> 00:12:53.450
can you find a problem worth fixing and then

00:12:53.450 --> 00:12:54.970
you adjust because sometimes it's the other way.

00:12:54.990 --> 00:12:57.049
Sometimes people bring us in and they're like

00:12:57.049 --> 00:12:59.570
– and this is usually because it's a minor inconvenience.

00:12:59.629 --> 00:13:01.190
This is usually when we get pushed back on price.

00:13:01.909 --> 00:13:03.690
They'll say, hey, you know what? Charlie every

00:13:03.690 --> 00:13:06.190
day, he's got to go through this system. There's

00:13:06.190 --> 00:13:08.009
usually like four or five things he has to correct

00:13:08.009 --> 00:13:09.570
and it's like he's got to spend like an hour

00:13:09.570 --> 00:13:12.090
fixing these things, right? And we're like, okay,

00:13:12.129 --> 00:13:13.860
that will be – You know, I'm making up a number.

00:13:13.960 --> 00:13:16.039
That'll be $10 ,000 to fix. What? That's crazy.

00:13:16.120 --> 00:13:19.299
$10 ,000. And you're right. That is way too much

00:13:19.299 --> 00:13:21.379
to fix Charlie's one -hour -a -day problem. You

00:13:21.379 --> 00:13:23.679
know what, Charlie? Keep doing it manually forever

00:13:23.679 --> 00:13:26.340
because it costs you nothing. It's fine, right?

00:13:27.100 --> 00:13:29.519
Whereas we come in and we go, hey, look, you

00:13:29.519 --> 00:13:32.340
know, you're... um you know it takes you uh three

00:13:32.340 --> 00:13:34.519
weeks to get invoices out because this data connection

00:13:34.519 --> 00:13:36.360
isn't right and we can fix that for ten thousand

00:13:36.360 --> 00:13:39.840
dollars do it today right so it's really for

00:13:39.840 --> 00:13:42.460
me it's not so much about the the cost of it

00:13:42.460 --> 00:13:45.100
is like find a thing where you get i mean we

00:13:45.100 --> 00:13:47.659
shoot for a 5x return in the year that you invest

00:13:47.659 --> 00:13:50.159
so if you're going to spend 10 with us you should

00:13:50.159 --> 00:13:54.019
make 50 that year otherwise don't do it just

00:13:54.019 --> 00:13:55.600
keep doing the same old way that's that's my

00:13:55.600 --> 00:13:59.210
rule Yeah, thanks for putting into words that

00:13:59.210 --> 00:14:01.490
I can understand like that. Yeah, we shoot for

00:14:01.490 --> 00:14:05.370
a five times return. So that makes, because what

00:14:05.370 --> 00:14:07.549
we're really talking about then is value pricing,

00:14:07.769 --> 00:14:11.090
right? As opposed to like an hourly price. We're

00:14:11.090 --> 00:14:13.789
like, no, no, we're creating this much value

00:14:13.789 --> 00:14:18.730
for you for the long run. And what you're saying

00:14:18.730 --> 00:14:22.210
is we want you to get that return within 12 months.

00:14:23.610 --> 00:14:27.649
That's appealing, right? Sometimes pricing is

00:14:27.649 --> 00:14:29.850
hard for me and I'm going to assume for other

00:14:29.850 --> 00:14:33.009
people to understand, so thanks for articulating

00:14:33.009 --> 00:14:35.309
it like that. Yeah, I appreciate it. Really,

00:14:35.529 --> 00:14:37.529
we want everyone, because we're in a service

00:14:37.529 --> 00:14:40.289
business, and I tell people here that as much

00:14:40.289 --> 00:14:42.730
as we're a technology company, we're closer to

00:14:42.730 --> 00:14:44.769
a neighborhood bakery than we are to Microsoft.

00:14:45.070 --> 00:14:47.409
You come in, you work with our people, you like

00:14:47.409 --> 00:14:49.870
our people, you recommend us, you come back again.

00:14:50.169 --> 00:14:52.889
We are a service business, and so what we want

00:14:52.889 --> 00:14:54.889
is for people to have a great customer experience,

00:14:55.009 --> 00:14:56.429
and part of the customer experience is, does

00:14:56.429 --> 00:14:59.149
that feel like a great value, or does it feel

00:14:59.149 --> 00:15:01.309
like, eh, kind of nickel -to -dimed us, or like,

00:15:01.350 --> 00:15:03.470
I lost money on that. So we definitely want you

00:15:03.470 --> 00:15:05.559
to like it. coming into the bakery. Mike, this

00:15:05.559 --> 00:15:07.799
has been enlightening for me and I hope for our

00:15:07.799 --> 00:15:10.519
listeners as well. For anybody who wants to reach

00:15:10.519 --> 00:15:14.299
out, start a conversation, get a quote, what's

00:15:14.299 --> 00:15:16.820
the best way to reach you? Just our website,

00:15:17.000 --> 00:15:22.840
C -A -X -Y dot com. Caxi dot com. Right on. This

00:15:22.840 --> 00:15:25.720
is Mike Levista with Caxi. Thanks for being on

00:15:25.720 --> 00:15:28.940
our show today, Mike. And you all know now what

00:15:28.940 --> 00:15:30.860
it's time to do. It's time to get out there.

00:15:31.340 --> 00:15:33.460
Be a source of kindness. Be a source of contribution.

00:15:33.919 --> 00:15:36.820
You do have something to offer this world, and

00:15:36.820 --> 00:15:38.700
I believe in you. Thank you for being here today.

00:15:38.879 --> 00:15:40.659
I'm really happy that you tuned in to Vision

00:15:40.659 --> 00:15:43.279
Pros Live. I'm looking forward to seeing your

00:15:43.279 --> 00:15:46.059
reactions as these episodes continue to move

00:15:46.059 --> 00:15:48.000
forward. This is going to get more and more fun.

00:15:48.039 --> 00:15:49.899
We'll have more and more engagement as well.

00:15:49.919 --> 00:15:51.840
We'll invite people to participate in the show.

00:15:52.000 --> 00:15:54.019
And thank you for giving us your time and attention.

00:15:54.299 --> 00:15:56.940
Have an excellent time building out your vision

00:15:56.940 --> 00:15:58.320
and becoming a vision pro yourself.
