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This is we, the Sales
Engineers podcast show 3 27.

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Welcome to We the SES podcast, the
show for sales engineers by sales

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engineers with your host Ramsey maba.

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What's up, fascinat Nation?

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Welcome back to another episode.

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Today we're talking AI because it is the
thing to talk about these days, and it

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seems to be taking a lot of people, a lot
of, uh, arguments, a lot of discussion.

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Is it gonna replace, is it gonna augment?

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Is it gonna help?

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But my guest today is, his name is
Philip Swan, and it seems that he's

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interested in AI and how to use AI within
companies, not just for sales engineering,

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but in general to help companies.

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Advance and push forward
in what it is that they do.

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And we kind of discuss his history about
how he got into entrepreneurship because

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he's a co-founder and chief, uh, and,
uh, go-to market product director or

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product owner, head product man, and how
he's, uh, building AI solutions for his

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customers and how he thinks about it.

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So, without further ado,
let's jump into the show.

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Hello, Philip.

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How are you doing?

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I'm great.

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How are you?

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I am doing well.

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I want you to introduce yourself,
but you just said you're so

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into pre-sales right now.

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I wanna know what that means.

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So.

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Let's introduce yourself
and then what that means.

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Sure.

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So, um, my name is Philip Wan.

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I am chief Product Officer and
go to market for a company called

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the AI Solution Group, and we
help companies reimagine their

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business with responsible ai.

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And so it's about architecting solutions.

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You, you, for these
large enterprises We've.

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Focus on, um, um, there are companies
who are really struggling how to

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bring AI into their organization.

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Okay, so my, my focus has always
been on sales and in pre-sales.

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I started off life as an engineer.

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And so architecting solutions
for customers is something that

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I've done my entire career.

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And it's about delivering
those out successful outcomes

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to, uh, to the customers.

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Okay.

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How like.

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You've been in sales for a long time now.

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Long, how long have you been doing it?

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Oh my gosh.

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I don't wanna, I don't wanna date you.

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Well, my first sales job,
I was eight years old.

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How's that for Ja?

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Um, and, uh, I firmly believe that
everybody in the company is a salesperson.

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So you're always selling.

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Um, and whether it's
internal or external, and.

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The, you know, I've always had
the customer, uh, in the center

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of every equation that I work on.

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So it's always about the customer.

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It's not that you let the customer
bully you and tell you what to

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do or do anything like that.

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It's about delivering great
outcomes to your customer.

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And I started off at eight.

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It started off with a paper route at fir.

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I did my first distribution strategy at
nine, where I hired four of my friends.

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To expand my paper routes out.

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I sold up those five paper routes
that when I was 14 to buy baby

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clothes to do at a flea market.

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And as I sold for, to earn money, I at
14 years old, and by the age of 16, I

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was going to Hong Kong to buy container
loads of baby clothes for my flea market.

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I was up to 20 stalls
in 14 different markets.

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And then when I was 20 and I graduated
from university, I sold, I sold

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those off and I had enough money
to buy my first, at the age of 21.

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Uh, from.

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Selling that.

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So why did you even go to university?

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You're already a successful
business person beforehand.

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My

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passion has always been in technology.

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My passion has always been
about being an engineer right.

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And building stuff, right.

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I I love to, yeah.

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Fundamentally I love
breaking stuff, right?

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So it is just like, in order
to construct something new, you

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gotta break something first.

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So I love.

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I love breaking problems and so, and
then solving those problems and building

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those up, that's fundamentally who I'm,
so, think of me kind of like a hacker in,

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in any days just liking to break shit.

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Excuse my French.

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Uh, I think that was Scottish.

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Uh, that's right.

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It was Scottish.

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Right.

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I, I did see your, your, your
LinkedIn, you went to the

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University of Glasgow, so Yes.

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I I'm assuming you're Scottish.

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I am Scottish.

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The accent is a little, is a
little weird these days, but Yes.

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Yeah.

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Well, I couldn't place it, that's why I
started doing some research right now.

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Uh, okay.

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So you studied engineering and
you've been, I tell people that

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the best skill that people,
anybody should learn is sales.

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Because they're like, they're gonna
use it throughout their lives.

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And you kinda correct.

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Touched on that.

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That's exactly right.

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And it's hard for me to admit it
because I went into engineering 'cause

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I didn't want to talk to people.

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And now

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I'm, I'm, you know, it's funny.

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It's funny 'cause I'm the same way
and I still don't like talking to

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people, but I do it because when I
get into it, I actually enjoy it.

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So it's, uh, yeah, I'm delivering value.

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That's funny.

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I feel like I'm talking to myself.

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All right.

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Cool.

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That's try.

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There you go.

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Uh, this is gonna be easy though.

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You mentioned you're,
you're deep into presales.

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Yes.

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What does that mean?

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The problem that we're solving right
now is that there's a lot of hype and

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a lot of doom talk around artificial
intelligence and companies are just

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struggling of all sizes, you know,
whether you're small or large.

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And the real, the real
thing for um, for AI is.

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How can you introduce it
responsibly into your organization?

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Right.

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And what that means is that it's
good, it's safe and it's ethical.

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So you really have to dig into
the customer to understand what

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future they're solving for.

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So I literally ask the question
of every customer I talk to,

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what future are you solving for?

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And they stop for a second 'cause
they haven't thought about it.

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'cause they're all typically thinking
of, I've gotta do this next and this next

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and this next, as opposed to going to.

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This is what Nirvana looks like for me.

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Now let's work back and Rever, and
I call it reverse engineering it.

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Back to all the steps that need to
do to get you to your dream, your

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vision, your objective, your goal.

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And so in pre-sales is about listening
to customers using these two things

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stuck at this side of your head.

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You know the ones that you've got
that those beautiful headphones o

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over your ears right now, Ramsay?

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Yeah.

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Yeah.

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Is you gotta listen.

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You gotta talk, you, you gotta
ask provocative questions,

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open-ended questions.

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And I'm a big subscriber to, um,
Hathaway's Spin Selling, which

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is where you really focus in on
understanding the problem and

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uh, and really the pain points.

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And I don't even talk
in pain points anymore.

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'cause everybody solves a pain point.

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I talk in terms of what's the
migraine that you're trying to solve?

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Because if you're not solving
a migraine, it's just noise.

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And so what does that mean?

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Well, a migraine can mean anything.

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Everybody who's listening to, who's
listening to this has probably

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suffered a really bad headache or a
migraine at some point in their life.

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We all have, right?

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It lasts for days and is brutal.

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You will do anything to get a cure for it.

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Almost anything you will try weird
concoctions that your grandma told you

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to use or, or, or some new fancy drug
that your doctor's telling you to use.

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Well, it's the same thing here, right?

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The migraine level problem is
different for every company.

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It could be a revenue gap, it
could be a, a safety issue.

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It could be an efficient, an
operational efficiency issue.

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Any number of use cases that can
have in there, but really identifying

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what the problem is you're trying
to solve, and then bringing.

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A small pod of experts to, you know, to
really understand the customer problem.

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And I'm talking two, three, maximum four
people to really dig deep in with the

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customer, to draw them out of all the
pain banks, because they'll not that

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they're lying to you, they'll never tell
you the truth straight off because it

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comes back to building trust, right?

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Yeah.

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So hearing you asking the right
questions, listening to their answers.

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Re repeating back to them, going back to
the, you know, the basics of truly getting

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to the bare metal or fundamental truth
of what the problem is you're solving.

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Yeah.

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I mean, they might not even know the
real problem, which is why they're not

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telling.

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That's exactly right.

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And nine times outta 10 they don't.

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Yeah.

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I finally spoke to somebody yesterday
for the first time in months, who

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actually understood what the problem
was that they were trying to solve,

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and they're all smart people.

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It's not like it because they think.

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They're confusing symptoms with
problems is the part of the issue.

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Yeah.

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Well, uh, everyone is tied to
their own, like their own view.

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Right?

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When, when I worked in the support,
my focus was a specific product

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and everything was around that, but
then I worked in network design.

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Now we had more products.

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Doesn't mean that I didn't know my
problem when it came to that, I just had.

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The symptom that affected me.

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And I thought that was the problem,
but is that was not the problem.

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It was just the symptom.

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So,

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uh, another thing that we fi that
we see is, is that there's a huge

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disconnect across the board between the
CIO's office and the business, right?

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So the CIO is not doing what the
business actually needs 'em to do.

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So there's that missing link.

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Even though they claim to
have it connected, we see it.

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Almost a hundred percent of the
time, this complete disconnect

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between the CIO and the business.

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Uh, just to clarify some terms,
when you say the business, are

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we talking about like the CEO?

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Are we talking about the
sales team or everything?

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Sales, uh, marketing, uh, the
tools that people need to come

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out of the CIO's office Right.

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Are not getting done because the CIO's
office doesn't think in terms of business.

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They, they think of other things.

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So if I were to rephrase it in
my own words, like the CI doesn't

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think about the business outcomes.

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These just about correct.

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The information that

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he or she needs to work on.

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Correct.

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Or in, in a way, and solving it in a
way that's customer friendly and it's

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an internal customer for them, right?

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So right where it's, it's something
they can actually use, right?

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They may solve a problem, but they may
introduce infinite, you know, complexity

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to the solution when it should have
just been the click of a button.

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Right, and just let it run.

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Well, if, if it's not complicated,
it's not a real solution, you know,

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that's how we engineers think.

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Well, you're talking about
pet peeve mine product, man.

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Are we talking about like, because
when I asked you the question, uh,

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like you're getting into pre-sales, are
these companies that you're, that are

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trying to implement pre-sales or are we
talking about enterprise, for example,

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that are trying to solve a problem?

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They're trying to solve a problem.

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It's the latter is definitely,
is definitely on the latter.

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So this is a typical presales
engineering type solution.

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Solutioning, presales discussion.

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Yeah.

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So you're, you're being
the presales in that

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situation?

244
00:11:15,270 --> 00:11:15,750
I'm okay.

245
00:11:16,230 --> 00:11:16,740
Uh,

246
00:11:17,280 --> 00:11:19,470
I'm the se So you're, you're the.

247
00:11:20,325 --> 00:11:23,835
Well, you're the SE and it seems like
you're the sales and you seems like

248
00:11:23,895 --> 00:11:25,695
to be having a lot of hats there.

249
00:11:26,085 --> 00:11:26,475
Um, yep.

250
00:11:26,625 --> 00:11:29,355
But you're, you're trying to
solve a problem for a customer.

251
00:11:29,595 --> 00:11:29,745
Correct.

252
00:11:29,745 --> 00:11:31,125
Using a ai

253
00:11:31,425 --> 00:11:33,045
using responsible ai.

254
00:11:33,105 --> 00:11:33,375
Yes.

255
00:11:34,155 --> 00:11:38,025
So, uh, this might be a stupid question,
but hopefully you'll humor me with that.

256
00:11:38,355 --> 00:11:41,935
Do we need, does every company
need AI to solve a problem?

257
00:11:41,935 --> 00:11:42,255
So,

258
00:11:42,675 --> 00:11:43,155
um.

259
00:11:44,415 --> 00:11:47,055
The short answer is yes,
and I'll tell you why.

260
00:11:47,715 --> 00:11:47,985
Okay?

261
00:11:49,485 --> 00:11:51,915
AI is not a new solution, okay?

262
00:11:52,064 --> 00:11:55,215
AI has been around
conceptually since 1936.

263
00:11:56,205 --> 00:12:01,455
Um, the term artificial
intelligence was first used in 1954.

264
00:12:02,055 --> 00:12:07,215
Um, there was a simple test created
by, um, Alan Turing, who was of

265
00:12:07,245 --> 00:12:11,940
imitation fame of he correct the Enigma
Code in, in the World War ii that.

266
00:12:12,444 --> 00:12:16,074
Effectively helps, um, the
allies win World War ii.

267
00:12:16,615 --> 00:12:19,974
He wrote a paper in 1950
that was effectively the fat

268
00:12:20,125 --> 00:12:21,535
father of modern computing.

269
00:12:21,535 --> 00:12:25,615
He came in, he invented the concept
of a microprocessor, and he had this

270
00:12:25,615 --> 00:12:29,365
thing called a Turing test, which is
where there's a human in the middle.

271
00:12:30,329 --> 00:12:33,810
Can the human determine whether they're
speaking to a machine or another

272
00:12:33,810 --> 00:12:37,170
human, and if they can't tell the
difference, the machine is intelligent.

273
00:12:37,319 --> 00:12:39,120
That's the simplicity of the test.

274
00:12:39,540 --> 00:12:44,640
The term artificial intelligence was
first introduced in 1954 at a Dartmouth

275
00:12:44,640 --> 00:12:46,949
conference, and you know, it was.

276
00:12:47,535 --> 00:12:50,805
In 1960, we had symbolic
artificial intelligence.

277
00:12:50,805 --> 00:12:56,535
In 1990s, we had machine learning if
anybody's ever driven an early BMW had

278
00:12:56,895 --> 00:13:01,575
one of the earliest cases of machine
learning put into auto, into automobiles.

279
00:13:01,635 --> 00:13:03,690
Um, um, and then we hit.

280
00:13:04,490 --> 00:13:09,560
You know, 2010 where we get into the
modern era of, uh, ai and then we got

281
00:13:09,560 --> 00:13:13,040
generative AI in 2019, which is when
we all started to using it, right?

282
00:13:13,040 --> 00:13:17,090
So GPTs and various other tools out there.

283
00:13:17,090 --> 00:13:22,280
Anthropic, open ai, uh, Google's Gemini,
the list, you know, the list goes on and.

284
00:13:23,565 --> 00:13:30,255
Now where we're at is that, um, we are
about to get to a GI, which is artificial

285
00:13:30,255 --> 00:13:34,815
general intelligence is where the
computer is acting and behaving as good

286
00:13:34,815 --> 00:13:38,235
as if not better, than a human being
on their own without any management.

287
00:13:38,235 --> 00:13:41,265
So, short answer to your
question, everybody needs it.

288
00:13:41,295 --> 00:13:41,625
Why?

289
00:13:42,080 --> 00:13:45,680
People are not gonna get replaced
by artificial intelligence.

290
00:13:45,680 --> 00:13:47,240
That's, that's number one.

291
00:13:47,930 --> 00:13:52,280
What you are gonna get replaced with
is somebody who's using is augmenting

292
00:13:52,280 --> 00:13:54,230
themselves with artificial intelligence.

293
00:13:54,710 --> 00:13:57,650
And so companies, why does
this flow up to the companies?

294
00:13:57,650 --> 00:13:58,040
Because.

295
00:13:58,260 --> 00:14:04,530
Their competition will be using AI to
figure out their next moves, and there

296
00:14:04,530 --> 00:14:07,110
will be within five years or less.

297
00:14:07,110 --> 00:14:13,020
The first one person company that is
entirely run by artificial intelligence.

298
00:14:13,200 --> 00:14:16,020
That will be a billion dollars
or more in, in annual revenue.

299
00:14:17,010 --> 00:14:18,240
Think about that for a second.

300
00:14:18,330 --> 00:14:21,510
That will be a thing
within two to five years.

301
00:14:23,735 --> 00:14:24,025
Okay.

302
00:14:25,005 --> 00:14:27,495
What does this mean for
companies like Microsoft, for

303
00:14:27,495 --> 00:14:30,375
Google, for Dell, for Amazon?

304
00:14:30,465 --> 00:14:31,575
The list goes on.

305
00:14:31,725 --> 00:14:37,155
You're going, they're going to be
disrupted like crazy with these companies

306
00:14:37,905 --> 00:14:41,295
because you can now use artificial
intelligence to do all your pre-sales.

307
00:14:41,535 --> 00:14:43,455
Find a, find a migraine level problem.

308
00:14:43,455 --> 00:14:48,225
Build the code for that product, run
the code, test the code, put the code

309
00:14:48,225 --> 00:14:50,985
into production, and collect the cash.

310
00:14:52,170 --> 00:14:54,420
So we're not, uh, talking
about someone going into chat,

311
00:14:54,420 --> 00:14:55,770
GPT and asking it a question.

312
00:14:55,830 --> 00:14:58,950
We're talking about
something much more advanced.

313
00:14:59,280 --> 00:14:59,700
Oh yeah.

314
00:14:59,760 --> 00:15:00,630
This is a GI.

315
00:15:01,735 --> 00:15:02,025
Okay.

316
00:15:03,540 --> 00:15:03,870
Yeah.

317
00:15:04,440 --> 00:15:04,590
Yeah.

318
00:15:04,590 --> 00:15:08,250
So it's gonna completely change
the landscape for, uh, for people.

319
00:15:08,250 --> 00:15:10,320
So why is this important for companies?

320
00:15:10,350 --> 00:15:15,060
'cause if they don't get ahead of
the curve now, they're going to be

321
00:15:15,090 --> 00:15:20,130
forever behind their competition and
their stock prices will diminish.

322
00:15:20,130 --> 00:15:23,640
Their company values will diminish,
their brand value will diminish.

323
00:15:23,940 --> 00:15:26,910
And more importantly, their customers
will no longer be loyal to them.

324
00:15:26,910 --> 00:15:29,250
They'll be going to another brand
that is meeting their needs.

325
00:15:30,660 --> 00:15:33,450
Sometimes it's hard to
get customers to change.

326
00:15:33,450 --> 00:15:36,930
Like they have a fleet of
cars for their salespeople.

327
00:15:36,960 --> 00:15:37,050
Mm-hmm.

328
00:15:37,290 --> 00:15:41,070
You ask them to change from a Ford to
Chevy and they have a hard time with it.

329
00:15:41,400 --> 00:15:47,550
But now, like how do you get people
to see the value of changing their

330
00:15:47,550 --> 00:15:48,840
current way of, it's a lot of

331
00:15:48,840 --> 00:15:49,590
education.

332
00:15:49,830 --> 00:15:51,420
It's a lot of education.

333
00:15:51,990 --> 00:15:56,010
Um, and, and it's showing them
a pathway to which to do it.

334
00:15:56,010 --> 00:15:57,990
So how we, how we do it is like.

335
00:15:58,859 --> 00:16:03,150
We show them how to build, how
to build value with ai, right?

336
00:16:03,150 --> 00:16:06,120
So we actually teach our
customers to do that.

337
00:16:06,420 --> 00:16:10,170
We then teach them to effectively
build a factory for ai.

338
00:16:10,199 --> 00:16:11,760
'cause everything's going agents.

339
00:16:12,150 --> 00:16:13,560
And we teach them how to do that.

340
00:16:13,560 --> 00:16:15,569
We show 'em how to do that and then we.

341
00:16:15,915 --> 00:16:18,945
We teach them how to build
an AI center of excellence.

342
00:16:19,035 --> 00:16:22,575
All in the meantime, we are building our
own products that are also supporting

343
00:16:22,575 --> 00:16:24,405
this and their, and their clients.

344
00:16:24,795 --> 00:16:29,715
So it's, um, it, it's, it's
about showing the story.

345
00:16:29,745 --> 00:16:31,755
It's about storytelling,
is what it comes down to.

346
00:16:31,755 --> 00:16:33,645
So traditional sales.

347
00:16:34,635 --> 00:16:35,444
Tactics.

348
00:16:35,505 --> 00:16:37,334
Um, I still apply.

349
00:16:37,545 --> 00:16:40,785
Traditional sales engineering
tactics still apply.

350
00:16:41,115 --> 00:16:43,035
It's just the mundane tasks.

351
00:16:43,125 --> 00:16:46,844
The, the mundane tasks are
being automated like crazy.

352
00:16:47,925 --> 00:16:50,685
So, for example, I have agents for myself.

353
00:16:50,685 --> 00:16:52,125
Now what do my agents do?

354
00:16:52,785 --> 00:16:57,854
It's all the crap that I don't like
doing email, actually getting the,

355
00:16:58,155 --> 00:16:59,204
not the writing of the content.

356
00:16:59,204 --> 00:17:01,005
'cause I do all my own writing, right?

357
00:17:01,035 --> 00:17:02,295
'cause for multiple reasons.

358
00:17:02,295 --> 00:17:03,285
One, I enjoy doing it.

359
00:17:03,344 --> 00:17:05,565
Two, I'm educating
myself as I'm writing it.

360
00:17:05,835 --> 00:17:07,665
And third, I have copyright on it.

361
00:17:07,694 --> 00:17:10,514
Using ai, you don't have
copyright on your content.

362
00:17:10,994 --> 00:17:11,415
So.

363
00:17:11,964 --> 00:17:16,075
What I use AI to is, is taking all that
content and getting it all scheduled so I

364
00:17:16,075 --> 00:17:20,514
don't have to go through the formatting,
putting the images in, you know,

365
00:17:21,145 --> 00:17:22,345
creating, you know, doing the videos.

366
00:17:22,345 --> 00:17:25,645
I have those workflows all automated
now in the form of an agent.

367
00:17:25,734 --> 00:17:30,175
So it is literally, it just, it's
running all the time and it just

368
00:17:30,175 --> 00:17:34,105
happens and all I have to do is
feed it content and it just happens.

369
00:17:34,705 --> 00:17:37,570
Um, and then it allows me to do what I'm.

370
00:17:38,295 --> 00:17:41,145
Exceptional at which is selling, right?

371
00:17:41,145 --> 00:17:44,685
So it's getting in front of customers,
listening to their problems, and

372
00:17:44,685 --> 00:17:48,525
then doing this thing that I'm deeply
passionate about, which is building

373
00:17:48,525 --> 00:17:53,295
product and you know, product that is
actually useful and product that is

374
00:17:53,295 --> 00:17:54,975
actually going to deliver outcomes.

375
00:17:57,090 --> 00:17:57,330
All right.

376
00:17:57,330 --> 00:17:58,950
Well, my daughter decided to drop by.

377
00:17:59,460 --> 00:17:59,850
Oh, hi.

378
00:17:59,850 --> 00:18:01,470
Hi, I'm recording.

379
00:18:01,590 --> 00:18:01,860
Avi.

380
00:18:02,669 --> 00:18:03,960
She loves you, but sorry.

381
00:18:03,960 --> 00:18:07,169
Uh, she's, she's not the one who got me
sick, so I'm okay with her right now.

382
00:18:07,514 --> 00:18:07,735
Uh

383
00:18:11,155 --> 00:18:11,895
uh Okay.

384
00:18:12,510 --> 00:18:17,430
Uh, so like you're using it on
your business life on your own.

385
00:18:17,790 --> 00:18:18,149
Yep.

386
00:18:19,215 --> 00:18:22,725
As a business and you're helping
businesses do it, I, I see like

387
00:18:22,725 --> 00:18:27,590
salespeople, Andes are like the CEO and
the CTO of their territory and region.

388
00:18:28,965 --> 00:18:32,595
How should they be using a AI as well?

389
00:18:32,595 --> 00:18:33,195
Absolutely.

390
00:18:33,195 --> 00:18:34,305
Everybody should be using it.

391
00:18:34,305 --> 00:18:38,085
So you mentioned those terms, and
I use very similar terms, right?

392
00:18:38,115 --> 00:18:40,575
You're the CEO of your
own franchise, right?

393
00:18:40,575 --> 00:18:41,475
Within the company.

394
00:18:41,625 --> 00:18:42,585
I use that term a lot.

395
00:18:42,705 --> 00:18:46,335
It's up to you to get resources and
teaching them how to be that CEO.

396
00:18:47,005 --> 00:18:50,395
What I don't agree with right
now is territories anymore.

397
00:18:50,395 --> 00:18:54,145
I'm a big believer in actually marrying
the right salesperson to the right

398
00:18:54,145 --> 00:18:57,955
clients so that you, 'cause people
buy from people they like, that is,

399
00:18:58,435 --> 00:19:00,115
that is not going to change Ramsey.

400
00:19:00,115 --> 00:19:00,385
Right.

401
00:19:00,445 --> 00:19:01,345
So it's about,

402
00:19:01,615 --> 00:19:01,795
yeah,

403
00:19:01,825 --> 00:19:04,435
finding the, the right person on
your team to talk to the right

404
00:19:04,435 --> 00:19:08,335
client no matter where they are,
um, irrespective of location.

405
00:19:08,395 --> 00:19:09,475
I, I, I agree with that.

406
00:19:10,250 --> 00:19:11,480
Um, alright.

407
00:19:11,600 --> 00:19:14,240
How, how would they, if they
wanna start thinking, 'cause

408
00:19:14,750 --> 00:19:15,500
obviously, so how would they

409
00:19:15,500 --> 00:19:16,040
would do that?

410
00:19:16,490 --> 00:19:18,500
They would start off
by researching, right?

411
00:19:18,500 --> 00:19:24,379
So, um, there's a very simple prompt to
do, and, and in the beginning it's simple

412
00:19:24,379 --> 00:19:26,090
words to you do in front of every prompt.

413
00:19:26,405 --> 00:19:31,145
Don't hallucinate hallucination is
a very real thing in, um, artificial

414
00:19:31,145 --> 00:19:35,254
intelligence, and what that means
is that it's representing data

415
00:19:35,254 --> 00:19:38,885
as truth and it's being perceived
as truth when in fact it's not.

416
00:19:38,885 --> 00:19:40,235
So you need to verify it.

417
00:19:40,415 --> 00:19:44,344
So the, the, the reason to put
the words don't hallucinate or do

418
00:19:44,344 --> 00:19:48,334
not hallucinate in front of every
prompt is that it actually narrows.

419
00:19:48,505 --> 00:19:51,115
The, um, the model quite significantly.

420
00:19:51,115 --> 00:19:53,965
So it dramatically reduces the
amount of hallucination and the

421
00:19:53,965 --> 00:19:58,585
output, and you write the prompt
in the way that you would describe

422
00:19:58,675 --> 00:20:00,745
to your 6-year-old daughter, right?

423
00:20:00,745 --> 00:20:03,385
Or your 14-year-old son or whatever.

424
00:20:03,805 --> 00:20:07,975
Very simple language, you
know, but not just the simple

425
00:20:07,975 --> 00:20:10,285
life, but very specific terms.

426
00:20:10,285 --> 00:20:11,875
So you imagine you've got yourself this.

427
00:20:12,629 --> 00:20:18,270
Ultra bright, um, uh, you know,
toddler that will do absolutely

428
00:20:18,270 --> 00:20:21,210
everything that you say you do,
precisely how you're gonna do it.

429
00:20:21,210 --> 00:20:22,020
And then more.

430
00:20:22,440 --> 00:20:25,530
This is artificial
intelligence, uh, today.

431
00:20:25,800 --> 00:20:28,950
Um, that won't be in a month
or two months, um Okay.

432
00:20:29,190 --> 00:20:29,910
Or three months.

433
00:20:29,910 --> 00:20:32,010
It's, it's, it's crazy at the pace.

434
00:20:32,400 --> 00:20:34,260
But where they would
use it is on research.

435
00:20:34,440 --> 00:20:34,800
Right.

436
00:20:35,490 --> 00:20:40,740
Find, you know, I know that my solution
that I'm selling and I'm representing.

437
00:20:41,595 --> 00:20:42,375
Generate you.

438
00:20:42,675 --> 00:20:45,045
Generally, it's this value
for this class of customers.

439
00:20:45,315 --> 00:20:49,455
Find me 50 companies that this, that
have the same problem as this company.

440
00:20:49,575 --> 00:20:53,805
You'll find, you find me the
target, your personas, right?

441
00:20:53,805 --> 00:20:59,865
So find me the CIO or the CTO or the VP
of marketing or the director of marketing,

442
00:20:59,865 --> 00:21:01,220
whatever products you're trying to sell.

443
00:21:01,590 --> 00:21:06,179
Find the right title and identify those
people for me who may have this problem.

444
00:21:06,240 --> 00:21:11,159
And it will do write me the, write
me the script to, you know, my,

445
00:21:11,280 --> 00:21:15,750
um, for sales enablement that will
get me somebody to respond to me.

446
00:21:15,750 --> 00:21:16,770
And the sequences.

447
00:21:16,860 --> 00:21:21,030
It will do all of that for you and
it will manage it your time for you.

448
00:21:21,030 --> 00:21:24,389
Because the thing that salespeople
and es are particularly bad at,

449
00:21:24,389 --> 00:21:28,379
and I know this firsthand, is we're
typically bad at managing our time.

450
00:21:29,010 --> 00:21:31,230
And it's, this helps you.

451
00:21:31,230 --> 00:21:33,030
Tell me more about that.

452
00:21:33,030 --> 00:21:35,400
Tell me more about being
better at managing our time.

453
00:21:36,420 --> 00:21:40,500
So when you look at a traditional
sales person, right, when,

454
00:21:40,590 --> 00:21:42,180
when, if you ask a sales person.

455
00:21:43,740 --> 00:21:46,950
How much time they actually
spend spend selling.

456
00:21:46,950 --> 00:21:51,840
If they're really honest with themselves,
it's between 35 and 40% of the time.

457
00:21:52,050 --> 00:21:52,440
Right.

458
00:21:52,650 --> 00:21:53,280
Why is that?

459
00:21:53,280 --> 00:21:55,680
Because they've got all the
other crap they've gotta do the

460
00:21:55,680 --> 00:21:57,600
admin tasks and everything else.

461
00:21:57,840 --> 00:21:58,410
You hired them to.

462
00:21:58,825 --> 00:22:01,105
Be sellers for God's sake.

463
00:22:01,105 --> 00:22:03,295
People get them out.

464
00:22:03,295 --> 00:22:03,835
Selling.

465
00:22:03,835 --> 00:22:07,825
Don't, don't have the CFO saying,
gimme this report here, do this in

466
00:22:07,825 --> 00:22:10,555
CRM there, do all of that's important.

467
00:22:10,555 --> 00:22:10,615
Yeah.

468
00:22:10,615 --> 00:22:12,655
Don't get me wrong, believe me.

469
00:22:12,685 --> 00:22:16,705
I'm not saying it's not important,
but yeah, eliminate the friction.

470
00:22:16,705 --> 00:22:21,385
So the salesperson is not having to spend
their weekends doing expense reports.

471
00:22:22,660 --> 00:22:25,810
For CRM, but they've forgotten
about because the meeting happened

472
00:22:25,810 --> 00:22:29,110
on Monday, but because they've been
back to back to back to back through

473
00:22:29,110 --> 00:22:32,200
Friday, they're trying to remember
what happened in the Monday, the

474
00:22:32,200 --> 00:22:34,330
Monday morning meeting at 9 45.

475
00:22:34,330 --> 00:22:34,660
Right?

476
00:22:35,290 --> 00:22:41,530
And so being able to have all of that
captured for you and then summarized for

477
00:22:41,530 --> 00:22:48,190
you, and then turned into actions that
either go into your calendar or into CRM

478
00:22:48,190 --> 00:22:50,110
that are then prompting you from CRM.

479
00:22:50,425 --> 00:22:51,715
However you want to work.

480
00:22:51,925 --> 00:22:56,455
It enables you to work the way that you
like to work while still providing the

481
00:22:56,455 --> 00:23:01,195
company the information they need and the
cleanliness of the data that they need

482
00:23:01,375 --> 00:23:03,264
to go and run and operate the business.

483
00:23:03,865 --> 00:23:07,885
So like is there a software available
right now that does that for a salesperson

484
00:23:08,455 --> 00:23:11,034
or do they have to, each has to build
their own or is that what you do?

485
00:23:11,040 --> 00:23:11,399
I'm getting close.

486
00:23:11,575 --> 00:23:12,445
I'm getting close.

487
00:23:12,925 --> 00:23:13,764
That's what you, this answer is

488
00:23:13,764 --> 00:23:14,995
no, but I'm getting close to it.

489
00:23:15,175 --> 00:23:15,595
Okay.

490
00:23:16,044 --> 00:23:17,274
So there will be something.

491
00:23:17,425 --> 00:23:18,445
Yes, there will be something.

492
00:23:19,305 --> 00:23:22,155
I, I would love to see
it when, when it's ready.

493
00:23:22,155 --> 00:23:22,665
Uh, you know what,

494
00:23:22,665 --> 00:23:25,215
I'll come back, I'll come back to
you in a, in a few months because

495
00:23:25,215 --> 00:23:28,575
we've got a few products to build
out first, but we're probably two

496
00:23:28,575 --> 00:23:29,925
months away from having something.

497
00:23:29,925 --> 00:23:30,945
I can show you Ramsey.

498
00:23:31,005 --> 00:23:32,475
That would be quite interesting.

499
00:23:33,285 --> 00:23:33,675
Alright, good.

500
00:23:33,675 --> 00:23:34,545
And I'm using myself

501
00:23:34,545 --> 00:23:35,655
as the use case here.

502
00:23:35,985 --> 00:23:36,135
Yeah.

503
00:23:36,135 --> 00:23:39,735
And then I'm, you're using and then
I'm, and then I'm using for my wife's

504
00:23:39,735 --> 00:23:43,335
business 'cause my wife has a language
services, per language services

505
00:23:43,335 --> 00:23:45,255
company provides interpreters to.

506
00:23:45,679 --> 00:23:50,060
To companies, hospitals, governments, et
cetera, government agencies, et cetera.

507
00:23:50,659 --> 00:23:56,330
And, you know, I'm gonna take what
I'm doing here for her company

508
00:23:56,330 --> 00:23:57,560
and see if I can replicate it.

509
00:23:57,560 --> 00:24:01,189
'cause if I can replicate it, and my plan
is I will replicate it, I can now scale

510
00:24:01,189 --> 00:24:05,570
that into other, into other organizations.

511
00:24:05,570 --> 00:24:07,760
And I'd love to have you test that.

512
00:24:08,300 --> 00:24:11,270
Oh, I, I'd be happy to because
you're basically giving me hope

513
00:24:11,659 --> 00:24:13,399
and, uh, I, I really need it.

514
00:24:13,860 --> 00:24:14,909
That's right.

515
00:24:14,995 --> 00:24:20,100
'cause I don't, no, I haven't met a
seller who likes to update CRMs, right?

516
00:24:20,100 --> 00:24:20,159
No.

517
00:24:20,280 --> 00:24:21,389
Or manage their calendar.

518
00:24:21,870 --> 00:24:22,050
No.

519
00:24:22,050 --> 00:24:24,149
Or, or set reminders for themselves.

520
00:24:24,419 --> 00:24:27,000
Actually, I was talking to someone
today and they were asking me

521
00:24:27,000 --> 00:24:29,389
like, do you use a software that
automatically reminds you of like.

522
00:24:29,835 --> 00:24:30,645
I wish there was one.

523
00:24:30,675 --> 00:24:32,775
I have to do everything manually.

524
00:24:32,835 --> 00:24:35,535
Like I send out an email, I put it in
my calendar that I have to follow up

525
00:24:35,535 --> 00:24:37,695
with them in five days or whatever.

526
00:24:37,695 --> 00:24:39,165
I'll do all of it for you.

527
00:24:39,615 --> 00:24:40,245
That's all right.

528
00:24:40,710 --> 00:24:41,625
All all right.

529
00:24:41,685 --> 00:24:43,155
I, you're getting me excited.

530
00:24:43,155 --> 00:24:45,495
I'm straightening you
up, so this is all right.

531
00:24:45,885 --> 00:24:46,845
This is gonna be interesting.

532
00:24:47,235 --> 00:24:48,915
Uh, I look forward to that day.

533
00:24:49,425 --> 00:24:49,755
Uh,

534
00:24:51,285 --> 00:24:52,785
it'll be sooner than you think.

535
00:24:53,550 --> 00:24:53,970
Yeah.

536
00:24:54,000 --> 00:24:55,890
Well, I'll be reaching out.

537
00:24:56,370 --> 00:24:56,970
So,

538
00:24:59,865 --> 00:25:02,040
um, um, where was I,
I got too excited now.

539
00:25:02,040 --> 00:25:03,360
I, I don't know where I was going.

540
00:25:03,810 --> 00:25:08,940
Uh, well we were, yeah, so, but going
back to the, the SE role, right.

541
00:25:08,945 --> 00:25:09,405
And Yeah.

542
00:25:09,825 --> 00:25:15,240
You, and real, and really focusing in,
and so imagine now that the, the SE

543
00:25:15,240 --> 00:25:18,000
is now just focused exclusively and.

544
00:25:18,790 --> 00:25:22,885
Using the part of the brain that make,
gives 'em the superpower to be the SC

545
00:25:22,885 --> 00:25:25,659
of the arm, which is literally getting
to a whiteboard and drawing out a

546
00:25:25,659 --> 00:25:29,230
solution for the customers saying,
this is what I heard, is this Right?

547
00:25:29,230 --> 00:25:33,940
And then And then, yeah, and building out,
and then literally documenting everything.

548
00:25:34,030 --> 00:25:36,925
And so the customer goes
like, wow, I want that.

549
00:25:36,925 --> 00:25:37,030
Yeah.

550
00:25:37,780 --> 00:25:40,960
Well, here's the thing that I
see about sales engineering and

551
00:25:40,960 --> 00:25:42,760
where AI might disrupt that.

552
00:25:43,060 --> 00:25:45,159
A lot of them treat
themselves as a data sheet.

553
00:25:45,645 --> 00:25:47,175
I'm here to answer questions.

554
00:25:47,175 --> 00:25:52,034
I'm not here to solve problems, which is
kind of weird to say, but like especially

555
00:25:52,034 --> 00:25:55,185
old school, ess, they were hired more
as support engineers and their job is

556
00:25:55,185 --> 00:25:59,115
to jump on a call whenever the customer
has a problem before they escalate to,

557
00:25:59,175 --> 00:25:59,445
yeah,

558
00:25:59,655 --> 00:26:04,845
to support or a, how many like
OSPF routes if you're networking.

559
00:26:05,550 --> 00:26:06,690
Do you need to be able to do that?

560
00:26:06,690 --> 00:26:10,290
How many users can your server
support these kinds of questions?

561
00:26:10,530 --> 00:26:15,330
And there will be utter, those people will
be utterly replaced with AI and if not

562
00:26:15,330 --> 00:26:22,350
already, um, but that'll also enable a
lot of the great SE to go out and do what

563
00:26:22,350 --> 00:26:25,980
you're saying in terms of whiteboarding
and solving problems for their customers.

564
00:26:27,030 --> 00:26:27,390
Correct.

565
00:26:29,580 --> 00:26:31,260
Yep, that's exactly right.

566
00:26:31,265 --> 00:26:34,350
And and hopefully it brings value to 'em.

567
00:26:34,350 --> 00:26:37,440
They have more free time to spend time
with their friends and their family.

568
00:26:37,560 --> 00:26:37,830
Right.

569
00:26:37,830 --> 00:26:39,510
And that's one of the things
that this will give you.

570
00:26:39,510 --> 00:26:43,020
'cause you're like, okay, I've gotta do
e, I've gotta spend two hours on email.

571
00:26:43,080 --> 00:26:44,550
No, your email's already done for you.

572
00:26:45,210 --> 00:26:45,360
Right.

573
00:26:45,360 --> 00:26:47,550
Well the biggest thing is RFPs, right?

574
00:26:48,240 --> 00:26:51,480
That's same thing with RFPs, because
I've automated the process for my

575
00:26:51,480 --> 00:26:53,790
wife's company to respond to RFPs.

576
00:26:54,510 --> 00:27:00,270
It literally doesn't, I do a lot of
the writing, but it gets, it gets done.

577
00:27:00,300 --> 00:27:03,270
'cause I've got a private
instance of an LLM that just

578
00:27:03,270 --> 00:27:05,939
does this and it just churns tho.

579
00:27:06,000 --> 00:27:07,350
It just churns those out.

580
00:27:09,660 --> 00:27:10,920
It's not cheating, by the way.

581
00:27:11,400 --> 00:27:12,000
It's not cheating.

582
00:27:12,005 --> 00:27:12,135
No.

583
00:27:12,135 --> 00:27:13,455
Well, no, it's automated.

584
00:27:14,205 --> 00:27:14,855
It's automated.

585
00:27:15,270 --> 00:27:15,450
Yep.

586
00:27:15,510 --> 00:27:15,750
Yeah.

587
00:27:16,050 --> 00:27:17,070
Automating is not cheating.

588
00:27:17,400 --> 00:27:19,530
Uh, and also if you're not cheating,
you're not trying hard enough.

589
00:27:22,800 --> 00:27:28,050
Uh, um, part of me, you know,
honestly, uh, part of me has been

590
00:27:28,050 --> 00:27:29,550
like, am I cheating doing this?

591
00:27:29,550 --> 00:27:31,050
I mean, this is actually part of like.

592
00:27:31,919 --> 00:27:33,780
I'm going, no, because guess what?

593
00:27:34,020 --> 00:27:36,899
If I'm not doing it, somebody
else is going to be doing it.

594
00:27:37,260 --> 00:27:40,949
Well, it's not, it's not just that,
like I, I feel cheating is when you're

595
00:27:40,949 --> 00:27:42,870
doing something that harms somebody.

596
00:27:42,959 --> 00:27:43,379
Yeah.

597
00:27:43,620 --> 00:27:43,800
Yes.

598
00:27:43,800 --> 00:27:47,969
Like you're doing something
like, you know, if you're in

599
00:27:47,969 --> 00:27:50,245
a bodybuilding and you're all
taking steroids, is it cheating?

600
00:27:50,805 --> 00:27:55,005
No, but if you're in a natural
bodybuilding competition and someone's

601
00:27:55,005 --> 00:27:57,285
taking steroids, then may, uh, maybe.

602
00:27:57,285 --> 00:27:57,615
Yes.

603
00:27:58,035 --> 00:28:00,765
Uh, and in this case, we're
doing this that just helps

604
00:28:00,765 --> 00:28:02,985
us help the customer better.

605
00:28:03,825 --> 00:28:04,035
Right.

606
00:28:04,335 --> 00:28:06,915
So if you're doing that,
how is that cheating?

607
00:28:07,035 --> 00:28:08,265
It's, it's not, it's just

608
00:28:08,265 --> 00:28:09,975
the, it is just the internal feeling.

609
00:28:10,125 --> 00:28:11,415
I'm going like this.

610
00:28:11,415 --> 00:28:12,795
Normally it's the old thing.

611
00:28:12,795 --> 00:28:14,595
Well, this would normally
take me a week to do.

612
00:28:14,595 --> 00:28:16,185
I just did it in five minutes.

613
00:28:16,545 --> 00:28:16,875
Right.

614
00:28:16,935 --> 00:28:17,235
Yeah.

615
00:28:17,595 --> 00:28:19,485
In that like, is this good enough?

616
00:28:20,670 --> 00:28:23,610
There, there are things that I
do is like, and then I say like,

617
00:28:24,030 --> 00:28:25,740
does it pass the grandma test?

618
00:28:26,100 --> 00:28:28,260
Like if I look at, can I
look at my grandma in, in the

619
00:28:28,260 --> 00:28:29,580
eyes and be happy about it?

620
00:28:29,970 --> 00:28:30,210
Yeah.

621
00:28:30,270 --> 00:28:30,510
Yeah.

622
00:28:30,600 --> 00:28:36,060
I, I'll be happy about doing that, even
if it's too, too, uh, too good to be true.

623
00:28:36,540 --> 00:28:39,270
And I feel like a lot of people
have that same issue with, uh.

624
00:28:39,795 --> 00:28:40,455
Finances.

625
00:28:40,455 --> 00:28:40,665
Right?

626
00:28:40,665 --> 00:28:44,565
When I first switched from engineering
into sales, my wife was so worried

627
00:28:44,565 --> 00:28:48,615
about me that I got a significant pay
raise that she thought it was cheating.

628
00:28:49,155 --> 00:28:50,505
She quickly got over that.

629
00:28:50,805 --> 00:28:51,645
Uh, I'm sure she did.

630
00:28:52,245 --> 00:28:52,545
Yeah.

631
00:28:53,235 --> 00:28:56,565
But, but yeah, I feel like
we, we sabotage ourselves.

632
00:28:56,685 --> 00:28:58,845
Uh, there a little bit, uh.

633
00:29:00,090 --> 00:29:00,510
Yeah, we do.

634
00:29:00,520 --> 00:29:01,890
And, and you're absolutely right.

635
00:29:01,890 --> 00:29:05,100
This is, this is actually
about personal bias, right?

636
00:29:05,295 --> 00:29:07,410
And, and our own cognitive bias, right?

637
00:29:07,470 --> 00:29:12,780
And it's, you know, this, the
limiting factor in, in all

638
00:29:12,780 --> 00:29:14,760
of this is ourselves, right?

639
00:29:14,879 --> 00:29:19,800
And, um, and back to your grandma test,
I couldn't agree more with you because

640
00:29:20,520 --> 00:29:23,220
I've gotta wake up in the morning,
every morning knowing that I'm doing

641
00:29:23,220 --> 00:29:25,290
everything ethically and responsibly.

642
00:29:27,765 --> 00:29:32,265
Speaking of doing everything, I
mean, you're, uh, looking at your

643
00:29:32,265 --> 00:29:37,365
LinkedIn, you're the Chief Product
Manager and go to market officer.

644
00:29:37,665 --> 00:29:37,815
Yeah.

645
00:29:37,815 --> 00:29:40,005
Officer and go to market.

646
00:29:40,665 --> 00:29:41,055
Yep.

647
00:29:41,235 --> 00:29:46,605
Uh, and you're doing se stuff, I'm
assuming you're also doing sales stuff.

648
00:29:46,995 --> 00:29:47,685
Absolutely.

649
00:29:49,065 --> 00:29:49,245
Yep.

650
00:29:49,245 --> 00:29:52,335
How do you manage, like you
mentioned you use ai, it could help

651
00:29:52,335 --> 00:29:53,745
you manage your time, but also.

652
00:29:54,075 --> 00:29:55,185
You're doing so many different things.

653
00:29:55,185 --> 00:29:58,320
How do you actually prioritize
what's so important?

654
00:29:58,320 --> 00:29:58,690
So I, I,

655
00:29:58,690 --> 00:30:01,125
I do everything in p zeros through P four.

656
00:30:01,125 --> 00:30:04,545
So I've got my P zeros, P
ones, P twos, P threes, right.

657
00:30:04,935 --> 00:30:09,405
My p zeros right now are,
are, are product and revenue.

658
00:30:09,525 --> 00:30:09,855
Right.

659
00:30:09,855 --> 00:30:14,625
And they're intertwined and,
um, and, and selling our offers.

660
00:30:14,685 --> 00:30:17,415
So that's, um, that's
where my time is spent.

661
00:30:18,015 --> 00:30:18,555
And

662
00:30:18,740 --> 00:30:19,605
can, can we, can we

663
00:30:19,605 --> 00:30:19,905
pause

664
00:30:19,905 --> 00:30:20,145
there?

665
00:30:20,565 --> 00:30:20,895
Sure.

666
00:30:20,895 --> 00:30:20,955
Um.

667
00:30:23,850 --> 00:30:28,050
Like P zero, you have building product
and selling and revenues selling.

668
00:30:28,080 --> 00:30:28,350
Yep.

669
00:30:28,680 --> 00:30:31,110
I mean, they work together, but
they also are against each other.

670
00:30:31,110 --> 00:30:32,760
If you're spending time
selling, you're not spending

671
00:30:32,760 --> 00:30:35,550
time producting and vice versa.

672
00:30:36,180 --> 00:30:39,990
So I'm spending at least,
I'm, I'm dedicating at least.

673
00:30:40,679 --> 00:30:43,620
Two, if not four hours a day on product.

674
00:30:43,620 --> 00:30:43,649
Okay.

675
00:30:44,310 --> 00:30:46,139
And the rest of my time is on selling.

676
00:30:47,070 --> 00:30:50,969
So for example, when I get off,
I mean I've spent all morning on

677
00:30:50,969 --> 00:30:54,389
the phone with customers and this
afternoon, once I'm done with you,

678
00:30:54,389 --> 00:30:56,070
I'm working all afternoon on product.

679
00:30:56,219 --> 00:30:57,000
That's how I do it.

680
00:30:57,000 --> 00:30:59,250
I just dedicate the time and break it out.

681
00:30:59,250 --> 00:31:03,510
So I organized, you know, my time around
the cust, your government customer

682
00:31:03,510 --> 00:31:04,590
meetings and when they can meet.

683
00:31:04,649 --> 00:31:07,860
And then I, I then I block out
the time to work on product.

684
00:31:07,860 --> 00:31:08,699
That's how I'm doing it.

685
00:31:09,405 --> 00:31:11,565
Is this considered selling right now?

686
00:31:12,524 --> 00:31:14,504
The, right now what we're doing here?

687
00:31:14,925 --> 00:31:15,135
Yeah.

688
00:31:15,135 --> 00:31:16,665
Everything's considered selling, right?

689
00:31:16,665 --> 00:31:19,815
I'm, I'm, I'm, I'm selling myself.

690
00:31:19,815 --> 00:31:22,965
I'm selling what my company does, and
I'm selling what we do for our customers.

691
00:31:22,965 --> 00:31:24,010
Of course, I'm selling right now.

692
00:31:24,044 --> 00:31:25,305
I'm always selling, man.

693
00:31:25,815 --> 00:31:26,055
Yeah.

694
00:31:26,055 --> 00:31:28,935
I I'm just trying to see if
it, where it fits, but yeah,

695
00:31:28,935 --> 00:31:29,925
obviously, and it's the same way

696
00:31:29,925 --> 00:31:30,705
in product, right?

697
00:31:30,705 --> 00:31:33,435
Because I start off with
the customer problem, right?

698
00:31:33,435 --> 00:31:34,725
And it's more than just a problem.

699
00:31:34,725 --> 00:31:35,565
It's a migraine.

700
00:31:35,565 --> 00:31:38,205
What is the migraine
we're solving from and.

701
00:31:38,595 --> 00:31:41,175
I'm a process engineer when
it comes down to it, right?

702
00:31:41,175 --> 00:31:46,245
So I literally sit in process maps and
creating process maps about how you map,

703
00:31:46,530 --> 00:31:50,955
how, how you map out the entire customer
experience in using the product, right?

704
00:31:51,195 --> 00:31:55,395
And then drive into from that
into, you know, the requirements

705
00:31:55,395 --> 00:31:56,865
and building out the PRDs.

706
00:31:57,225 --> 00:32:00,015
And honestly, we're, um.

707
00:32:00,825 --> 00:32:04,665
So I've got a great director of
product management who sits under

708
00:32:04,665 --> 00:32:08,985
me, and he, he runs with the PRDs,
um, all day, every day, right?

709
00:32:08,985 --> 00:32:13,305
So he take, so we follow the Amazon way
and actually writing everything down.

710
00:32:13,305 --> 00:32:15,795
So we do six pagers and
write everything down.

711
00:32:15,795 --> 00:32:17,175
We have business narratives.

712
00:32:17,745 --> 00:32:18,945
Um, we're really prescrip.

713
00:32:18,945 --> 00:32:21,435
Everybody gets a chance to
get their feedback and input.

714
00:32:21,435 --> 00:32:23,415
So we're very, very
organized about how we.

715
00:32:23,845 --> 00:32:25,195
Actually go about building products.

716
00:32:25,195 --> 00:32:28,314
So these aren't, this isn't
Philip Swan's whim of the day.

717
00:32:28,554 --> 00:32:33,385
Uh, this is about solving,
um, um, real customer pro, you

718
00:32:33,385 --> 00:32:34,764
know, real customer migraines.

719
00:32:35,455 --> 00:32:37,750
So for those who don't
know, what are PRDs?

720
00:32:39,030 --> 00:32:41,940
PR P ds are product requirement documents.

721
00:32:42,000 --> 00:32:46,950
And so it's taking what understanding
of the customer migraine and

722
00:32:47,250 --> 00:32:50,490
putting it in the form that you can
actually build a product around it.

723
00:32:50,490 --> 00:32:53,910
So this is the document that goes into
engineering that they will actually

724
00:32:53,910 --> 00:32:55,860
go and build your product for.

725
00:32:56,460 --> 00:33:00,090
So in support, we used to have access
to the PRDs and they helped us a lot

726
00:33:00,120 --> 00:33:02,880
'cause uh, yeah, we always got tickets
about what's supported, what's not.

727
00:33:03,615 --> 00:33:05,445
That way I didn't have to go
to engineering to see what's

728
00:33:05,500 --> 00:33:06,350
supported, that what's not.

729
00:33:06,350 --> 00:33:06,370
That's right.

730
00:33:06,945 --> 00:33:11,565
Uh, so do you have any sales or
ses working with you as well?

731
00:33:12,435 --> 00:33:13,155
Yes, we do.

732
00:33:13,275 --> 00:33:16,515
So we're actually bringing
them on board, uh, as we speak.

733
00:33:16,725 --> 00:33:20,715
So, uh, it's no longer just me
right now, it's founder led.

734
00:33:20,775 --> 00:33:21,105
Right.

735
00:33:21,165 --> 00:33:23,565
And we're rapidly moving
away from founder led.

736
00:33:23,565 --> 00:33:28,095
We know I will always be selling,
my partners will always be selling.

737
00:33:28,095 --> 00:33:30,465
We are, uh, I'm starting up our.

738
00:33:31,004 --> 00:33:34,065
Or the initial sales
team actually in October.

739
00:33:34,845 --> 00:33:35,145
Okay.

740
00:33:36,014 --> 00:33:38,294
How did you make the decision
to bring on a sales team?

741
00:33:38,325 --> 00:33:39,465
Because now you're giving up control.

742
00:33:39,750 --> 00:33:39,970
It.

743
00:33:39,975 --> 00:33:40,274
It is.

744
00:33:40,365 --> 00:33:42,645
It was back to your point
of managing my time.

745
00:33:42,645 --> 00:33:45,705
At what point do I get suffocated
and I can't do both jobs?

746
00:33:46,905 --> 00:33:48,315
And I'm at that point, right?

747
00:33:48,315 --> 00:33:52,155
So, um, I need, I need somebody
to upload, and our plan is

748
00:33:52,155 --> 00:33:53,504
to scale very, very quickly.

749
00:33:53,504 --> 00:34:00,135
So I, we need help, but again, we can
leverage AI seeing as we are an AI company

750
00:34:00,135 --> 00:34:05,175
to help us get through the scaling without
having to hire a whole bunch of people.

751
00:34:05,205 --> 00:34:05,715
So,

752
00:34:06,014 --> 00:34:06,254
right.

753
00:34:06,345 --> 00:34:10,275
We do not plan to be more
than a hundred people in our

754
00:34:10,275 --> 00:34:12,614
company and probably a lot less.

755
00:34:13,589 --> 00:34:17,580
So the people we're hiring, the quality
has to be there, number one, right?

756
00:34:17,580 --> 00:34:21,870
So it's not just about somebody who logs
a mirror, it's actually gotta be super

757
00:34:21,870 --> 00:34:27,029
expert at what they do and, um, and
are deeply passionate in the space that

758
00:34:27,029 --> 00:34:32,069
we're working in so that, um, um, you
know, they can deliver, they can deliver

759
00:34:32,069 --> 00:34:33,750
value to our customers from day one.

760
00:34:34,710 --> 00:34:37,350
And any ses or pre-sales as part of that.

761
00:34:37,379 --> 00:34:37,770
Well, yeah,

762
00:34:37,770 --> 00:34:39,120
so I'm hiring both.

763
00:34:39,565 --> 00:34:45,205
Uh, my initial as a pre-sales guy
and a sales guy, and they're both

764
00:34:45,685 --> 00:34:49,404
men unfortunately right now, that
are lead candidates for the roles.

765
00:34:49,404 --> 00:34:53,995
But trying desperately to find
women, uh, to fill that role is hard.

766
00:34:54,355 --> 00:34:58,985
Um, and you know, it's gotta be
people who are prepared to work hard.

767
00:34:59,685 --> 00:35:04,125
Um, because we are all working hard,
we're working seven days, literally

768
00:35:04,125 --> 00:35:07,694
seven days a week right now, uh,
because things are moving so quickly.

769
00:35:07,785 --> 00:35:10,785
Um, and, you know, um.

770
00:35:11,640 --> 00:35:13,020
The number of hours are crazy.

771
00:35:13,020 --> 00:35:15,930
So this is not a job for
the faint of heart, right?

772
00:35:15,930 --> 00:35:15,990
Yeah.

773
00:35:15,990 --> 00:35:18,720
This is some, this is, this is a job
you've gotta be passionate about.

774
00:35:18,720 --> 00:35:19,350
It's not a job.

775
00:35:19,350 --> 00:35:20,460
It's gotta be a passion.

776
00:35:20,490 --> 00:35:25,440
And it's, you know, and you know, the
drive for this company is to, is success.

777
00:35:25,440 --> 00:35:30,240
So everybody will share in that
success and, um, and, and hopefully

778
00:35:30,240 --> 00:35:33,240
make, uh, some people a bunch
of money, uh, in the process.

779
00:35:34,110 --> 00:35:38,100
Many companies, they hire
like 10 salespeople before

780
00:35:38,100 --> 00:35:39,630
they hire their first se.

781
00:35:40,080 --> 00:35:41,375
Why did you decide to hire a pair?

782
00:35:42,615 --> 00:35:46,515
Because having a team, knowing myself,
and when I, so when I switched out from

783
00:35:46,515 --> 00:35:50,775
being an engineer into a sales engineer
being teamed with a sales person, I

784
00:35:50,775 --> 00:35:52,335
was actually teamed with four of them.

785
00:35:53,055 --> 00:35:53,115
Okay.

786
00:35:53,145 --> 00:35:58,125
Uh, was, um, was, you know, was
incredibly valuable for them.

787
00:35:58,755 --> 00:36:02,235
What wasn't so valuable for me
was, is that I was making these

788
00:36:02,535 --> 00:36:06,615
salespeople a whole bunch of
money and, um, and I wasn't.

789
00:36:07,305 --> 00:36:10,485
Which is why I insisted on
me becoming a salesperson.

790
00:36:10,485 --> 00:36:11,895
And in the first year, guess what?

791
00:36:11,895 --> 00:36:16,335
I became the global sales, you
know, you know, salesperson of

792
00:36:16,335 --> 00:36:17,835
the Year award in my first year.

793
00:36:18,255 --> 00:36:18,705
Why?

794
00:36:18,705 --> 00:36:20,865
Because I knew what the hell I
was selling, and I knew who the

795
00:36:20,865 --> 00:36:25,485
hell I was selling to, um, and,
and delivering those outcomes.

796
00:36:25,485 --> 00:36:29,415
So it was, it was a no brainer
for me, and I've just repeated

797
00:36:29,415 --> 00:36:31,035
that throughout my entire career.

798
00:36:31,275 --> 00:36:32,775
It's about understanding your customer.

799
00:36:32,805 --> 00:36:34,245
I call it grokking your customer.

800
00:36:36,320 --> 00:36:36,645
All right.

801
00:36:37,035 --> 00:36:39,345
Um, so how are you gonna enable that team?

802
00:36:39,615 --> 00:36:41,355
Like that's more work for you as well.

803
00:36:41,835 --> 00:36:45,585
Uh, so the, the good, you know, the
key, the key thing about enabling those

804
00:36:45,585 --> 00:36:49,425
teams is that we can use AI to create
all the, uh, and we already have it.

805
00:36:49,605 --> 00:36:52,695
Most of the content, because I've
already created, I created it for myself.

806
00:36:52,785 --> 00:36:56,745
Um, most, most of the content
and the collateral out there.

807
00:36:56,865 --> 00:37:02,235
Um, and, you know, enable, you know,
enabling them is just like here, you know?

808
00:37:02,745 --> 00:37:07,995
We are vertical agnostic, like says
like here, here are the types of

809
00:37:07,995 --> 00:37:09,825
companies that we think we should go for.

810
00:37:09,825 --> 00:37:13,845
And having them leverage our tools to
find them not only the companies, but

811
00:37:13,845 --> 00:37:17,654
the people within the companies that
we need to be talking to, to have the

812
00:37:17,654 --> 00:37:19,455
initial discovery discussions with.

813
00:37:20,325 --> 00:37:21,134
That's so funny.

814
00:37:21,195 --> 00:37:23,565
Like you would basically
demo how you found them.

815
00:37:23,800 --> 00:37:24,220
Mm-hmm.

816
00:37:24,465 --> 00:37:26,420
To show them how they can
find their own customer.

817
00:37:27,390 --> 00:37:27,720
Yep.

818
00:37:30,030 --> 00:37:31,140
Your own dog food.

819
00:37:31,800 --> 00:37:32,370
Yep.

820
00:37:32,970 --> 00:37:33,210
Yeah.

821
00:37:33,210 --> 00:37:38,490
I've worked with companies where
they sell equipment to help testing,

822
00:37:39,060 --> 00:37:42,090
but they don't use that equipment
themselves or that software themselves.

823
00:37:42,090 --> 00:37:43,650
I'm like, how do you that don't use the

824
00:37:43,650 --> 00:37:44,880
product yourself.

825
00:37:44,940 --> 00:37:46,050
How can you sell it?

826
00:37:46,935 --> 00:37:48,794
Their objection was, it's too expensive.

827
00:37:48,855 --> 00:37:53,504
I'm like, if it's too expensive for
you, who is it not expensive for?

828
00:37:54,315 --> 00:37:56,265
So that, that, that pissed me off.

829
00:37:56,955 --> 00:37:57,915
Yeah, I bet.

830
00:37:58,575 --> 00:38:02,444
So Philip, we're, we're
coming to the end of our time.

831
00:38:02,565 --> 00:38:05,444
Is there a question you were hoping
I was gonna ask you but I did not.

832
00:38:07,214 --> 00:38:07,634
Well.

833
00:38:09,825 --> 00:38:13,005
I think it, I think it really
drives back into what's the future

834
00:38:13,005 --> 00:38:14,655
for sales and sales engineering.

835
00:38:14,655 --> 00:38:15,015
Right.

836
00:38:15,195 --> 00:38:18,855
You know, in, in the advent
of this, and I, it doesn't go

837
00:38:18,855 --> 00:38:20,445
away, it's the short answer.

838
00:38:20,985 --> 00:38:21,165
Yeah.

839
00:38:21,165 --> 00:38:25,635
What becomes, what I think
the, the, the real question is,

840
00:38:25,635 --> 00:38:28,845
is that how do you, are you.

841
00:38:29,775 --> 00:38:31,035
It's self-questioning yourself.

842
00:38:31,155 --> 00:38:33,345
Am I deeply passionate about being an se?

843
00:38:33,345 --> 00:38:35,835
Am I deeply passionate
about being a salesperson?

844
00:38:35,835 --> 00:38:38,205
What future do I want
to create for myself?

845
00:38:38,445 --> 00:38:44,085
So, and how can AI help me
responsibly be the better me, right.

846
00:38:44,295 --> 00:38:45,765
And be a more efficient me.

847
00:38:46,965 --> 00:38:50,595
You know, if you do that, your
job is not gonna get eliminated.

848
00:38:50,685 --> 00:38:52,875
You're not gonna get replaced by a robot.

849
00:38:54,075 --> 00:38:54,315
Yeah.

850
00:38:54,585 --> 00:38:56,775
Well, what I like about
it as well is that.

851
00:38:58,095 --> 00:39:01,935
There are things about when you ask
like, are you gonna be passionate

852
00:39:01,935 --> 00:39:04,245
about sales, engineering, or, or sales?

853
00:39:04,545 --> 00:39:08,085
So I always shifted outta sales,
engineering into sales, and I feel

854
00:39:08,085 --> 00:39:12,255
like the things that I hate about
sales could easily be solved with ai.

855
00:39:12,615 --> 00:39:14,234
We just don't have that solution yet.

856
00:39:14,714 --> 00:39:15,075
That's right.

857
00:39:15,075 --> 00:39:16,335
I guess so.

858
00:39:16,875 --> 00:39:18,285
Maybe as a sales person,

859
00:39:18,285 --> 00:39:19,995
we want, we love talking to people, right?

860
00:39:19,995 --> 00:39:23,685
Even if we're introverts and the engineers
like you and I are, we still love, I

861
00:39:23,685 --> 00:39:25,845
still love talking to customers every day.

862
00:39:26,625 --> 00:39:26,924
Yep.

863
00:39:27,165 --> 00:39:32,205
That's, well, they're, well, I guess they,
they're the reason I make a living, so.

864
00:39:32,595 --> 00:39:33,165
Exactly.

865
00:39:33,975 --> 00:39:37,605
Alright, uh, Phillip, thank
you so much for your time.

866
00:39:37,845 --> 00:39:40,214
Uh, and I look forward to hearing
more about your solutions.

867
00:39:40,214 --> 00:39:40,605
Awesome Ram.

868
00:39:40,875 --> 00:39:42,194
Appreciate it for sales engineering.

869
00:39:42,585 --> 00:39:45,795
Uh, stick around for a second
after we, we stop the recording.

870
00:39:45,795 --> 00:39:46,125
Go do.

871
00:39:46,125 --> 00:39:48,254
But, uh, appreciate, appreciate it.

872
00:39:48,734 --> 00:39:49,185
And that's it.

873
00:39:49,245 --> 00:39:49,785
We're done.

874
00:39:50,565 --> 00:39:53,654
Curious, where do you see AI taking us?

875
00:39:54,180 --> 00:39:57,360
As, uh, a people, as sales
and professionals, se

876
00:39:57,360 --> 00:40:00,030
professionals, is it helping?

877
00:40:00,450 --> 00:40:02,190
Is it making things worse?

878
00:40:02,460 --> 00:40:05,280
There's research how creativity
drops when you use ai.

879
00:40:05,280 --> 00:40:06,840
There's research about how great it is.

880
00:40:07,200 --> 00:40:12,210
So where do you stand on the AI
chasm if there is such a thing?

881
00:40:12,270 --> 00:40:13,860
Let me know in the comments below.

882
00:40:14,280 --> 00:40:15,900
And with that, I'm signing off.

