Automate & Dominate: How Smart Roofers Are Winning the AI Revolution

Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_00 (00:00):
The companies that are training their employees
right now on how to use these AItools to their specific roles
are the ones that are going towin.
And that's like the point of anARP revolution in the first
place.
And you're thinking about whereyou can get AI lift in your
organization.
I think understanding what AIreally can do is a great
starting point.

(00:20):
What would you do if you didn'thave to do that thing that's
slowing you down?
What's that thing that you'vebeen itching to get to and that
you want to get done?
But every day you just feel likeI don't have time to get it done
in my job.
Inviting employees into thatconversation and into the
narrative of like what thefuture of the organization is
going to look like is a reallyimportant step to helping them
feel comfortable and confident.

SPEAKER_05 (00:41):
Welcome to the Roofing Success Podcast.
I'm Jim Aline and I'm here tobring you insights from top
leaders in the roofing industryto help you grow and scale your
roofing business.
Rosalind Burgess, how are you?

SPEAKER_00 (00:55):
Hi, Jim.
I'm doing great.
How are you?

SPEAKER_05 (00:57):
Back again to talk about AI this time.

SPEAKER_00 (01:02):
Whoa, little twist, some new letters from HR.

SPEAKER_05 (01:07):
From HR to AI.

SPEAKER_00 (01:09):
Here we are.

SPEAKER_05 (01:10):
The AI roofing revolution.

SPEAKER_00 (01:12):
Yes.

SPEAKER_05 (01:13):
Tell it, tell, tell the audience about your new
project or the new the new thenew project business.

SPEAKER_00 (01:20):
Yeah, I mean it really started as a passion
project, you know.
Um so yes.
Uh well, as you know, and foranybody who knows me or doesn't
know me, I guess, uh I reallyhave been spending my career in
the roofing industry focusing onhelping people with uh or
companies with their people andprocesses.
And so I'm always kind oflooking at our organizational

(01:41):
design, our org charts, ourroles, our responsibilities, how
do we make the engine that is aroofing company run effectively,
right?
Um and so in 2025, the start ofthe year, you and I sat down and
had some fun conversations aboutAI and just how much it was
really changing, how far it hadcome.
Um, and that was a huge momentfor me of just kind of like, oh

(02:05):
my goodness, if I don't payattention to how this technology
is reshaping our world, uh ourmy clients are gonna be left
behind.
And it just has majorimplications, I think, uh, in
regards to our org structuresand like how we will work in the
future.
Uh and so for me, as somebodywho has a passion for and

(02:26):
studies and understands like howthings work together, how
organizations work together, howpeople work, how our employees
uh get their work done, it justfelt like such a great uh fit to
dig into.
And then it just became so fun.
Um, you know, like we love we'rewe're nerding out at my house.

(02:46):
I mean, we're using it to createchicken lookalike websites and,
you know, everything from likehelping Anna, my daughter who
swims, uh, design her workoutsand fixing our new car.
I mean, just anything.
I feel like anything.
And so it's it's been honestlyjust a passion that really
turned into how do I take thisthing that I'm really enjoying

(03:09):
and help my clients and ourindustry learn how to use AI in
their businesses.

SPEAKER_05 (03:15):
Yeah, and that that's a there's there's a big
gap, not just in the roofingindustry, but across all across
all industries right now.
The AI wave is coming reallyfast and really slow at the same
time.
Right.
It's like, okay, we see thistidal wave coming, we know it's
coming, we have to prepare forit because it if you don't, I

(03:39):
really feel like you you'regonna get left behind quickly.
And there's some risks in in thein the roofing industry where
maybe some of the private equitycompanies have a a little bit
better uh focus on implementingAI than the small guy or the
bigger companies, we don't eventhey don't even have to be PE

(04:00):
backed, right?
The the larger companies mayhave more resources to bring in
to understand and how toimplement AI in their businesses
versus the smaller companies.
And um people's buying habitsare gonna change, work habits
are gonna change, and and and ifyou're not, if you don't have
this implemented in yourbusiness, it it's gonna be

(04:22):
crazy.
This this episode will probablyair after the Roofing and Solar
Reform Alliance uh um annualevent at the beginning of
October.
But at that event, we're talkingabout future proofing your
roofing company.
And there's a there's an analogythat I like to that I like from

(04:42):
the like from entrepreneurship,and that is the wolf is always
chasing you.
And right now that wolf is AI.
Yeah, and and so we we have tostay ahead of it, we have to
stay above, uh, you know, uhimplement, learn how to begin
using it and implementing in ourbusiness.
So for people who uh have maybedabbled in it, for what what are

(05:05):
the steps?
Like if you had to walk throughlike the steps that someone
would take in their business tolike first, I guess the first
thing they would probably needto do is understand AI.
And then how do they how do theystart to integrate and use it
and and then optimize theirbusiness using AI?

SPEAKER_00 (05:24):
Yeah, yeah.
I think you nailed it on thehead with first just starting to
understand some of the uses forapplied AI.
Um, so how do you apply AI intoyour business?
Um, I think as a leader, uh, youknow, really we should be
thinking beyond just kind ofsome tactical quick fixes,

(05:44):
right?
Sometimes we're thinking aboutlike what are AI solutions that
we could adopt or like let'shurry up and bring somebody in
and you know, we're gonna reworkthis whole thing and let's get
all of our employees out, right?
That's kind of like uh how do Ihurry up and and do this?
Um, and I think it actuallystarts with first understanding
like what are the best uses forAI?
Like, what is AI really good atin uh the world and in your

(06:07):
business?
Where is it going to have thebiggest impact?
So that as you're kind ofthinking about that overall org
structure uh and you're thinkingabout where you can get AI lift
in your organization, I thinkunderstanding what AI really can
do is a great starting pointbecause I think um, you know, as
people who are are starting todabble in it, and I mean, maybe

(06:29):
it's just that we're in thisindustry now and we're talking
about it all the time.
But I I think even outside ofjust uh, you know, my circle, I
constantly hear whether it'slike at a baseball game or you
know, out at dinner or somesomething, uh, there are people
talking about AI right now,right?
So I think it's it's piquedpeople's interest, it's piquing

(06:52):
people's attention for sureright now.
Um, but I think a lot of peopleare still using AI tools like
Chat GPT um or Gemini or Grok orwhatever your preferred LLM is.
They're really just using itmore as like a search engine
function.
Um, that often is kind of how Isee people get started with it,
which is great.
Like we have to start somewhere.

(07:13):
And then I see people kind ofmove into the bucket of like
content creation.
So it's like, okay, I want todive in and make this email
better for me, or like, oh, myemployee really frustrated with
me, or that client that I justworked with uh sent me a nasty
email and now I need to respond.
How can I do thatprofessionally?
And so I see that kind of belike the next uh step that

(07:36):
people start to take in theirorganizations is like, okay, how
can we say things better, whichis great because it's a large
language model, it's good atlanguage, so it's a good use
case.
Um, and then I see kind of asthe doors uh open more and our
minds start to expand a littlebit more, I think I tend to see
people move into more of thatdeep research, strategic

(07:56):
thinking, utilizing AI to bealmost like a creative partner.
Um, but even then, still, likewe're still leaving a lot on the
table because there's so muchmore we could be doing in our
organizations.
And so we like to kind of helporganizations and leaders go
beyond and start to think aboutAI for data analysis, AI for
training their teams, AI fordocumenting their SOPs.

(08:20):
And uh, there's just so manyfantastic ways that we can be
strategically using AI in ourbusinesses that we can get
beyond just like, okay, let'slet's try a cool prompt and see
what happens.
Yeah.

SPEAKER_05 (08:32):
Yeah, definitely.
How are you, you know, I mean,you come from the HR side of
things.
How are you seeing like the whatis the the the the impact with
with within organizations withthe people in the implementation
of AI?
Are you what are some thingsthat that that an owner should
understand around that?

SPEAKER_00 (08:51):
Yeah.
Well, Workday did a global studyuh and it showed that employers
tend to think that they're doinga better job implementing than
employees do.
Um so I think the stat is like65% of employers would say that
they're implementing AI and thatit's going well.
And then of that group, like 45%of their employees would say,

(09:12):
like, yeah, it's going great.
Um, so there is some dissonanceoften, which is so normal, just
again, uh, in our organizationswhere we as leaders tend to
think things are going a littlebit better than our employees
experience it.
So that's something to bemindful of is that um there is
truly an AI trust gap.
So there's a gap with how wellyour employees think you're

(09:34):
doing it, but then also howtrusting they are of using those
AI tools, um, trusting them toperform accurately, trusting in
the result, and for sure,trusting that their job is going
to be secure.
Um, so I think there is someresistance uh depending on the
organization, but I also seethat organizations that are
really coming at it from more ofa strategic mindset and they're

(09:57):
seeing this as a tool that'sgoing to enhance their
businesses and they're thinkingabout how that fits in with
their employee experience.
I see them really taking a morethoughtful approach of let's
train our employees, let's equipthem, let's empower them, let's
help them uh really start toaccess and utilize these tools.

(10:18):
Um, and then because of that,because it's like in their hands
and they get to be a part ofbringing AI into their
organizations, I tend to findthose organizations be the
employees are much morereceptive and they're happy and
often excited uh to get to useAI in their roles.

SPEAKER_05 (10:35):
Yeah, definitely.
What I've heard you talk aboutit before, we've done another
session on this for the RSRA,but like you don't you brought
up like the security of data andlike in understanding AI, what
are some of the secure the thethe things that a company owner
should understand about thesecurity of these LLMs and the

(10:56):
AI systems?
Before we carry on with theepisode, let's give a shout out
to one of our sponsors.
Roofers, let's get real.
You're great at building roofs,but are you great at building a
steady stream of leads?
That's where Job NimbusMarketing comes in.
They know the roofing industryinside and out, and they'll help

(11:17):
you dominate Google, Facebook,reputation management, and
everything in between.
If you want more quality leads,more book jobs, and more growth,
visit the link in thedescription or the sponsors page
on the Roofing Success Podcastwebsite.
Things that a company ownershould understand about the
security of these LLMs and theAI systems.

SPEAKER_00 (11:38):
Yeah, for sure.
I mean, one of the things Ithink about is you really have
to be mindful and aware of anyAI tools that you're using and
consider what their kind of goalor aim might be.
Um, so something to consider ifyou're somebody who's just kind
of exploring or dabbling withany of the free AI tools, a lot
of those free options are kindof requiring you to allow uh

(12:05):
them to train their AI models onyour information, on your
inputs.
Um, and so if you're not uhchecking those settings and
checking into the security of uhthose tools that you're using,
you could be potentiallyexposing your organization, your
data to some risk because theycan take that information and

(12:27):
turn around and use it to traintheir models.
You know, all of a sudden oneday they're, you know, you're
putting in information aboutyour customers, and now that
customer detail is showing upfor someone else, some other
roofing company down the streetthat's looking at uh that kind
of same context, same problem.
And so it's really important toprotect any personal
identifiable information.

(12:48):
Um I would also consider again,like uh what is the aim of the
model?
So if you think about open AI,right, they really have built
their model from the standpointof they want all of this
interaction.
And that's they've they've beenan AI company first, right?
Setting up that LLM.
Whereas if you think about acompany like Microsoft that has

(13:11):
Copilot or uh Google that hasGemini, those were started as
enterprise software companiesfirst, right?
And so they're often thinkingabout our enterprise security
and kind of making that firststock.
Um, now that said, you can stillget that security level and you

(13:31):
can choose to not have your datashared through tools like Chat
GPT, but you want to make surethat you go through and you
change your data settings sothat it's not sharing and
learning.
And I believe that's really onlyavailable if it's in a paid
plan.
Um Claude even just made thischange where Claude used to be
one where it was secure, yourdata was just kept for you.

(13:51):
Um, and now they recentlyannounced that if you're not on
one of their paid models,they're going to use your
interactions to train theirmodels.

SPEAKER_05 (14:00):
Yeah, there's a there's a there's a saying it
came from social media, but ifyou're not paying for it, you're
the product.

SPEAKER_00 (14:06):
Yeah, I love that.
Yes, yeah, yeah.

SPEAKER_05 (14:10):
It's like you you're the product, you think you're
going on Facebook for this, butit's really because they're
gonna they're selling you adspace, right?
They're selling ad space.

SPEAKER_00 (14:18):
Especially risky, Jim, if we're not educating our
team members on this and they'reout there just trying things and
they don't know that, andthey're not thinking about uh
not just your company data, butalso your customers' data.
And as partners and leaders, wehave a responsibility to protect
that information.
Um, and so I think having goodsecurity protocols and policies

(14:42):
in place, having an AI policy isa really important step in
getting started and yourorganization's AI journey.

SPEAKER_05 (14:49):
Yeah, definitely.
Now let's talk a little bitabout some of the use cases and
then adding it into, you know,into the day-to-day of the
company.
What are some of the what aresome of the best use cases
you've seen so far?

SPEAKER_00 (15:04):
Yeah, well, I mean, we break it down by role, right?
Like what it what is yourorganization uh should have job
descriptions, probably, right?
Or some type of different kindof org structure that you're
looking at.
Um, and so we like to go roll byrole, but I'm often thinking
about those.
We we kind of coach around fourcore buckets.
Um, like I said, that's gonna bekind of your personal

(15:26):
efficiency.
So, how can AI help you just inyour day-to-day checklists, uh
you know, looking ahead at yourcalendar, summarizing your
emails, things like that, where,you know, I just show up to work
and I've got some things to doand I have to run through that
manual checklist.
AI is so good at helping youkind of go from where do I start

(15:48):
today to boom, here's yourchecklist, here's your priority
list, here's your summary, hereare your meetings this week,
etc.
So I would say personalorganization is one that we or
personal efficiency is a bucketthat we talk a lot about.
Um, content creation, obviouslyin that marketing uh vein, which
I'm excited we're gonna do is bedoing a little some uh some work

(16:09):
together and some marketingtraining there.
So that'll be cool.
Um but the marketing vein,content creation, and I always
kind of lump in uhcommunication.
Like how do I talk to myemployees?
How do I talk to my customers?
How do I say this better, moreeffectively, more efficiently,
more uh, you know, sometimes alittle harsher, right?

(16:30):
If you're minimum like me and weneed to put a little uh a little
more heat on that accountsreceivable uh message, you might
use AI for that, right?
Um, so I think of that uhcommunication piece in that
content creation bucket, butthat's another uh bucket that's
really strong.
And so again, if I were to walkthat through then in my
organization, I might look at ARand say, okay, um, yeah, I wanna

(16:55):
not only do I want to make thisemail more stern, I might
actually use uh my LLM to helpme draft the entire sequence of
my AR process.
I might use it to getsuggestions on like, should I
reach out again after two days,or is it better to reach out at
the five day mark?
And so I can be using it to helpproblem solve some of my

(17:18):
challenges that within my role,but I can also be using it to
help actually draft like what'sthe sequence uh that we're gonna
be doing some of that outreach.
So that would be like thecontent creation bucket.
Um, another bucket, like I said,is that deep research.
Um sometimes I kind of lump thatin with strategic planning and
strategic thinking or uhideation and creation.
I kind of tend to lump them alltogether because I think good

(17:40):
strategic plans and goodcreation comes from research
first.
Uh so maybe that's the nerd andme.
Uh you start there if you wantto have really good ideas, but
um, they are separate.
So I I guess you don't you don'tneed to have them separated or
together in that lump.
But uh deep research is such ahuge opportunity that we have to
be utilizing AI technology.

(18:02):
So like I have clients wherewe're using uh the deep research
feature to do market analysisand to do competitive analysis
and to assess like, is ourmarket saturated or is it just
um you know, is it somethingthat we're experiencing from
other factors?
So almost kind of doing like aSWOT analysis uh with the the AI

(18:25):
tools, I think is really can bereally powerful.
Um and then another bucket thatI just really love too, uh, is
probably one of my favorites isdata analysis.
Um I'm a big believer as much asI can get into the touchy feely
and all the soft experience andculture pieces, which I think
are so important.
I also really believe indata-driven decisions.

(18:46):
And so utilizing AI for dataanalysis, like a personal
business analyst in your pocket,uh, is such a great way to
utilize AI.
Um, another bucket that I don't,I would say we don't really talk
about it in our foundationscourse as much is coding.
Um AI is so good at coding.
Uh, and I think as people get alittle further in their AI

(19:07):
journey and they get beyond someof these kind of general
business uh buckets, that's kindof the next the level up is
using ad code too.

SPEAKER_05 (19:18):
Yeah, there I like how you frame that in the
bucket.
So the first one is contentcreation.
That was it was one of ourrealizations early on.
It was wow, really you heard it,and I've said this before, like
I I remember the news was allabout how truck drivers were
gonna be out of work.

SPEAKER_01 (19:36):
Yeah, right?

SPEAKER_05 (19:37):
Like that was the big news.
It was like truck drivers aregonna be out of work with this,
the way that things are going.
And that was kind of the theadvent of AI in in terms of
driving and things like that.
But like from a technologyperspective, LLMs are the only
thing they do is predict thenext word.
So anything that needs to bewritten, man, that's gone,

(20:01):
right?
Like, so you know, writing anemail, writing a you know,
writing a job description,writing anything like that, it's
going to it's going to I knowyou're enjoying the episode, but
let's give a shout out toanother one of our sponsors.
I talk to contractors every daythat feels stuck.
Not because they're not workinghard, but because they're

(20:24):
missing the structure to growwithout chaos.
Or their culture's falling apartbecause their team's unclear,
unaligned, or just burned out.
And when change hits, they'rereacting instead of leading
because time and prioritiesaren't under their control.
Day 41 Thrive helps to fix thatwith proven strategies for

(20:46):
growth, culture, and leadershipthat actually work.
Ready to thrive beyond thestorm.
Visit the link in thedescription or visit the Roofing
Success Podcast website on thesponsors page to start your
journey today.
Anything like that, it's goingto it's going to to perform well

(21:09):
at because that's what it'sthat's what it's what it is set
to do is kind of create content.
That is that is a newfunctionality.

SPEAKER_00 (21:22):
So of course, like their their native language is
speaking.
Yeah.

SPEAKER_05 (21:28):
That's right.
Yeah.
So that makes a lot of sense.
And so what are so what are somelike what are some things in in
your first cohort of companiesthat have gone through and and
done all the courses and thingslike that?
What was what was one of thoseideas that you're like, oh, that
was a good one?
Or like when you guysdiscovered, man, that that was

(21:49):
such a great place to implementthis.

SPEAKER_00 (21:52):
Yeah, yeah.
Well, I mean, it's it's hard topinpoint just one, but I feel
like there's so many that wehave use cases for each week.
Um, but one that I love is likeuh uh thinking about our
production schedulers, right?
And what do they often have todo?
Uh, they often have to check theweather and then reschedule
everyone.
And so one of the strategiesmight be utilizing uh, you know,

(22:16):
an agent or kind of a workflowthat allows you to do a weather
analysis, look at what's coming,figure out which crews are
impacted by that, and then sendout the communication.
And you can even go a stepfurther of then looking ahead
and seeing, like, okay, well,based on uh the weather now, you
know, what what does that meanfor a reschedule and going

(22:38):
through that process and kind ofpredicting like, okay, well,
these are going to be our nextbest days to get that crew back
out.
Um, and then thinking about kindof that next step of okay, and
then how do we communicate toour customers to let them know?
So I think it's really like kindof in the the workflow area to
me is where you get the mostpower where you're thinking
about how do I string theseinstances together in order to

(23:04):
get the outcome that I'm lookingfor.

SPEAKER_05 (23:07):
That makes a lot of that like that's crazy because
uh when I think about it, I'mlike, oh, that's kind of I mean,
it's a simple task, right?
But it's it's it's somethingthat's replicated over and over
again.
It's like, okay, get in, go tothe weather, see what's
impacted.
Okay, uh yeah, looks likethere's a storm coming through
the north side, the northernsuburbs of the twin cities.

(23:28):
Okay, we're gonna have to, allright, we have some jobs up up
there, we'll have to reschedule.
Like you that's time onsomeone's plate.
What if that time was here arethe jobs that are impacted, go
reschedule them, right?
Or here are the times that we'rehere are the jobs that are that
may be impacted by the weatherthat's coming through today, and

(23:50):
we have already reached out withan email and a text message to
reschedule with possible datesto reschedule for the customer.
Like now all of that's offthere, off of that uh scheduler
or production manager's plateand it and and they they come
in, okay, cool.
All right, everything got movedthere, everything got moved
there.
That's an awesome one.
I like that.

SPEAKER_00 (24:10):
What another favorite.
Oh, go ahead.

SPEAKER_05 (24:12):
Yeah, what's another one?
No, what's another favorite?

SPEAKER_00 (24:14):
Yeah, like let's see some of the different
departments, right?
So uh sales, right?
One that I love is thinkingabout training our sales
professionals, right?
And how could we uh take ourproduct knowledge, our product
information, and be using thatto set up training that is
specific to that sales rep andhelps them grow as they go

(24:36):
along.
It'll change and adjust uh tothose sales reps needs and kind
of be responsive.
Um, so basically, like havingyour own personal AI coach uh
that comes alongside you andhelps you learn the product for
your new reps or your salesprocess.
Um, so uh using your uh LLMs forkind of as a repository of your

(24:56):
information is a great approachas well on the sales side.
I mean, I guess that kind ofdips into my HR world a little
bit with some of the trainingpieces, but uh training is just
such a huge area that you canget a lot of lift from AI on to.

SPEAKER_05 (25:09):
Um and that's it's crazy uh again because it's
predicting the next words, likeyou could roll like I've built
things where you can role playwith with with the with with an
agent, right?
Like you could do sales practicewith an agent.
Like there's so many so manycool things.

(25:32):
What what about like everyonestruggles in hiring and
recruiting?
What what have what have youseen from that aspect of it,
from the people aspect of likeuh you know, using AI, uh I know
you said job description, so I II assume that's part of the part
of it, but has anyoneimplemented some things in AI
around like the recruiting sideof things that you've that

(25:54):
you've seen that have beeneffective?

SPEAKER_00 (25:56):
Yeah, for sure.
I think targeted search is ahuge one and then
personalization.
And so again, that the conceptof personalization can be used
across the board, but I thinkgoing and utilizing
personalization in order to doyour outreach to uh candidates
that you're trying to actuallyrecruit.
Um, I'm a big believer, I I'msure we've talked about this on
a past podcast, right?

(26:16):
But when I am looking to hire, Iwant to actually go out and
scout, right?
And so when you're thinkingabout that scouting process,
utilizing AI in order toautomate the scouting process in
order to personalize thoseemails and outreach, just like
we would for clients.
Uh, you know, we can use the AIto personalize our client
outreach.
We can be utilizing AI topersonalize our uh applicant

(26:39):
outreach as well and try to drawin applicants to our pool.

SPEAKER_05 (26:43):
Yeah, that's awesome.
And that there's going to be somany more applications as things
go.
What are what are some of thetools like that you've seen
people using?
You know, I mean, Chat GPT is ofcourse kind of the like the
biggest LLM.
What other tools are you seeingpeople using that are that are

(27:05):
helpful in getting theseworkflows set up, getting this
all of these things in in placefor their businesses?

SPEAKER_00 (27:13):
Yeah, yeah, for sure.
Well, I mean, I I think actuallythe more you get to know some of
the different AI tools, it's alot like uh building a building,
right?
Or it's a lot like having thetools in our own garages or our
own sheds, right?
That you want to have a varietyof tools and you want to know
what they're good at and what tokind of lift them up for and

(27:34):
when to apply them.
So even though I would say likeI probably gravitate for toward
ChatGPT most of the time, but weuse the Google Suite products uh
in our organizations in bothrefinery and air.
And because of that, we reallytake advantage of the Gemini
suite a lot because it's sogreat to have it integrated

(27:57):
right within uh without havingto do that.
Like I can do that, I canintegrate in Chat GPT, but to
already have it set up in uhGemini, like that's one of my
favorite things to teach ourclients how to do is like, look,
you can just do at Gmail and nowyou're you know, you're
referencing and sending rightfrom your Gmail.
Like they've done a really greatjob of integrating their

(28:18):
products Google has into theGemini suite.
And so I think even just kind ofthinking about that one, like
that's if you use Google or youuse Microsoft, um, then use
Copilot and think about that asalmost being like your Swiss
Army knife, right?
Like, I'm just gonna go, I'vegot a lot of tools here.
Um, are they they're they're nota full machete, right?
It's just that little saw that'son the Swiss Army knife.

(28:40):
And so understanding thecapabilities, um, but sometimes
it's great to have that likemulti-tool that's just right
there and you're ready to grabit.
Um, I probably gravitate towardChat GPT more when I really want
to do that deep thinking, deepresearch when we're doing
coding.
Um, our team is coding, we'reutilizing N8N for workflows.
That's a huge one.

(29:00):
I know a lot of people reallylove Zapier.
That's great for theintegrations as well.
Um, there's just so many, but uhfor me, I use gamma a ton too.
I can actually even share mycode for anybody who wants it to
get a little discount afterthis.
But uh Gamma is one that I usefor presentations all the time.

(29:21):
It's just so slick.
Uh, it's one of my favorites.
And you know, if you're a leaderor an owner and you're going to
present to your teams, I can'ttell you, Jim, how many just
like ugly PowerPointpresentations I have seen over
my years as a coach, so manyugly PowerPoint presentations.
And it just takes so much time,right?

(29:41):
Like it seems like we spend moretime formatting our slides and
trying to get them to look acertain way that like by the
time we actually get to presentthe content, we haven't gotten
to give it enough thought.
And so to be utilize, utilizegamma um or even canvas AI.
Uh features are really great tooto be able to create those

(30:03):
PowerPoints or thosepresentations.
Gosh, now you can actually putyour brain power into the
content and the quality of whatyou're talking about.
So that's one that I love forowners and leaders too.

SPEAKER_05 (30:15):
Um Canva has a great visual AI, like it is a great
image image builder for AI.
It's crazy.
If you want to redo your youryour little roofing roof logo,
you can just go into Canva andwrite a prompt and it'll it'll
create a new logo for you.

SPEAKER_00 (30:34):
For sure.
And I mean, while we're talkingabout image generation, um, I'll
share this.
This is kind of a fun uh we'rereally big on helping people
find personal use cases becauseI think when you use AI in your
personal life, it just opens upyour mind so much more to how
you might use it in yourprofessional life.
Um, but we were working on theshed and uh I had a little kind

(30:57):
of test project uh utilizingChat GPT versus uh what
industry, uh industry fans callnano banana, which is Gemini's
uh image 2.0 flash model.
Um, it kind of hit the sceneunder this guise of nanobanana,
made a ton of news.

(31:17):
Um, and I'll share the twodifferent generations for you
because it is just phenomenal.
So, what we did was we kind of Ihad some chairs that I was
looking at buying for the shot.
I was like, oh, how's this gonnalook in the space?
And so I took a picture of thewall that I wanted to put them
on, and then I took a picture ofthe chairs that I was looking at
and a rug that I was looking at,and I asked ChatGPT and Gemini

(31:42):
Image 2.0 flash to generate forme like what would this look
like?
And it was wild to see.
And to be fair to Chat GPT, Iwasn't on the pro version, I was
just using their, you know, mythinking model.
Um but uh yeah, like one veryclearly looked like AI, and one,
it was like, I took a picture,Jim.

(32:03):
I took a picture after the factonce I did buy the chairs, so
they look great.
Uh I bought the chairs, I took apicture after the fact, and it's
like literally hard to tellwhich is the real picture and
which is the picture that wasgenerated by Neano Banana.
It was really cool.

SPEAKER_05 (32:18):
It's crazy.
Yeah, right.

SPEAKER_00 (32:20):
Like so that I mean that's a favorite one for me.
I think if you're doing uh imageediting, I would direct you to
that tool for sure.
I think it's fantastic.
Um, I know you're a big fan ofRiverside, which has some great
AI tools when it comes toRiverside has great AI.

SPEAKER_05 (32:36):
Yeah, with content creation, we record all the
podcasts in Riverside.
Riverside will pull all theclips for us, it'll edit the
podcast if we want.
We still have a video editorthat does a lot of it, but it's
it's fantastic.
It's crazy how how well it does.
Before we carry on with theepisode, let's give a shout out
to one of our sponsors.
If you and your team aren'ttrained on AI yet, you're

(32:58):
already falling behind.
Competitors using AI aregenerating more leads, closing
jobs faster, and running leaner.
The AI Roofing Revolution givesyour team the training to
implement AI so you stay ahead,not scramble to catch up.
Don't wait until you're losing.
Get trained now at the link inthe description or the sponsors

(33:20):
page of the Roofing SuccessPodcast website.
When it comes to the Riversidehas great AI.
Yeah, with content creation, werecord all the podcasts in
Riverside.
Riverside will pull all theclips for us, it'll edit the
podcast if we want.
We still have a video editorthat does a lot of it, but it's
it's fantastic.
It's crazy how how well it does.

(33:42):
Um, so that's another next onein video is is gonna be Google
Flow.

SPEAKER_00 (33:47):
Yes.

SPEAKER_05 (33:48):
I don't know if you've seen like this is crazy.
Yeah, yeah.

SPEAKER_00 (33:53):
Google Flow and VO.
I would really like if if you'rejust trying, if you're somebody
who loves the space and you wantto play around, um, going into
Google Labs is where I wouldtell you, go hang out, just go
try all their tools.

SPEAKER_05 (34:06):
I mean, it's really from a see what the future is
gonna look like.

SPEAKER_00 (34:10):
I feel like from a from a multimodal standpoint, I
mean, Google's really theirGemini suite is really uh pretty
next level.
Yeah.
What I mean by multimodal forfor those of us who are just
getting started, um, is thingslike where you've got text,
you've got content creation,like video, you've got image
generation, you've got audio andsound generation.

(34:32):
Uh, that's kind of that conceptof multimodal.

SPEAKER_05 (34:35):
All right, let's talk about the what's behind the
scenes, and that's the data,right?
Like data-driven decisions, gooddata-driven decisions,
understanding how to make datadriven decisions.
I mean, using AI.
I've had I've used AI to analyzefinancial statements of

(34:57):
companies that that we werelooking at from an acquisition
standpoint.
I've looked at like I've used itfor so many things, like all
kinds of like there are so many.
I've I I I uploaded my my creditcard statement into like a a
version of like of last month'scredit card bill, and I was
like, how do I how do I read howdo I make this less?

SPEAKER_01 (35:19):
How do I make less perfect problems?

SPEAKER_05 (35:21):
How do I save some money here?
Yeah, um, but stuff like that,like but you know, I I started
in in in in uh in server-sideprogramming and comp in web in
web development, yeah, and thiswas a long time ago, but it
still rings true, and that isgarbage in, garbage out.

(35:44):
So what you feed, what you feedthe machine determines the
output of the machine.
So if you're if you're notfeeding it good information,
you're not going to be able toget good information on the
other side.
But boy, if you have good datato feed it, you are probably
going to come across some reallycool things about your business.

(36:07):
So how can how can an how can acompany first, I think, if you
haven't done like how do youprepare your data, maybe?
And how do you then then whatare some use cases around like
using AI for data?

SPEAKER_00 (36:22):
Yeah.
So I would think about uh whatare you trying, what like what's
your end goal?
What are you trying to uh getto?
What answers would you likeregarding your business?
And then I would actually plugit into your LLM and work it
backward.
So I mean, that's kind of my protrick, right?
Anytime you're like, I don'tknow where to go or I don't know
where to start, ask your LLM.

(36:43):
It's the smartest entity youwill ever interact with, right?
So um I love taking thatapproach of saying, like, okay,
well, uh, I want to get maybe Iwant to be able to be better at
forecasting.
So I could ask Chat GPT orGemini, what kind of data
sources would be helpful inorder for me to have good
forecasting results?
And so that could direct me tolike, okay, these are the areas,

(37:05):
this is the type of informationthat I should be collecting and
gathering and making sure thatit's clean.
And then you can again be askinguh your LLM to like help me
create the spreadsheet to housethat or help me create the
repository.
How should I store thatinformation?
What's the best approach?
Um, another thing to consider isthat a lot of us have a lot of
data.
It's just kind of all like uh,you know, housed in one major

(37:29):
storage in our, you know,whether that be Acculinx or Job
Nimbus or whatever, like in ourCRM, it all kind of lives and
exists there.
And a lot of times we want to beable to see that information in
a different format or adifferent output, right?
Um, but because LLMs are so goodat digesting large amounts of
information, again, you can betaking, you could take a report

(37:51):
that uh Aculinx or Job Nimbus orwhatever CRM you use
auto-generates, you could takethat information, feed it back
into your LLM and say, like,show this to me in a different
way.
Uh, and it will recreate andreformat that information.
Or again, if you've had thatconversation, you're like, I
want it to uh I want it to lookthis certain way because I asked

(38:14):
my LLM what kind of data sourcesI should have, how my data
should be set up.
Now that I have that template, Ican be kind of feeding that
information back in and say, Iwant it to come out and look
like this template that you justtold me I need.
And then the level up for that,right, is having things like
gems or agents or custom GPTsthat are set up so that each

(38:34):
time you can be just kind ofproviding that report and it
will spit it out in the formatthat you need or that outcome
that you need again and again.
Um, so that's where I would go.
The other thing that I would sayis just starting by thinking
about the spreadsheets thatyou're already looking at.
What's the data and informationthat you already have, that
you're already reviewing?

(38:54):
Um, you know, generally I hopethat you're looking at things
like your um net sales per leadissued, you're looking at your
GP, you're looking at your SGNA,right?
So some of those just basicbusiness numbers that you should
be looking at, um, those ringtrue.
And again, if you're like, Ijust haven't, you know, I'm
really good at sales or I'mreally good at roofing, and I

(39:15):
don't really, I'm not that greatat business, uh, what number
should I be looking at?
You can ask your LLM.
Hey, uh, I've done some reallygreat demos where um we live
shared and live screened with uhwith an LLM and we asked it,
like, hey, here's thespreadsheet that's up.
Look at the spreadsheet and tellme what questions I should be

(39:36):
asking as a business owner tohelp drive my results.
And I like it's it's just so funto see what the LLMs will come
up with.
And I I feel like as you know,again, somebody who's been a
business coach and consultantfor a long time, um I'm always
very pleased with the outcomesthat it will share back.
It's like, yep, those thosecheck out.
That sounds right.

(39:56):
Yeah.
Um, and then often it's like, ohyeah, that's so smart.
We should definitely do that.
So yeah, really good quality assomebody who's checking, right?
Yeah.

SPEAKER_05 (40:06):
And it and it's it'll compound on itself as you
start to learn how to utilizethis and you start to start to
play with it and start toanalyze your data.
You know, I would think that youcould take, you know, all of
your payroll data and say, look,this is where we're at.
You know, here's our PL, here'sour payroll data, you know, how

(40:26):
could we improve our efficiencyhere or or our um accounts
receivable or you know, all ofthese things.
Like, how can we improve onthis?
How can, and then go back tothat beginning, the content
piece, and right?
So develop some content aroundhow, you know.
I know you're enjoying theepisode, but let's give a shout
out to another one of oursponsors.

(40:47):
As a roofing marketing agencyowner and coach, I've seen it
all.
Great marketing wasted becauseno one follows up fast enough.
That's why I built Power UpAgents, not just a receptionist.
RAI handles the entire customerjourney from answering the first
call to booking the job to postjob surveys and reviews.

(41:09):
24-7.
Inbound, outbound, evenmultilingual.
If you want leads followed upinstantly and customers nurtured
automatically, visit the link inthe description or visit the
sponsors page on the RoofingSuccess Podcast website.
Your full AI team is ready.

(41:34):
All of these things, like howcan we improve on this?
How can and then go back to thatbeginning, the content piece and
right?
So develop some content aroundhow you know.

SPEAKER_00 (41:45):
Um and I love too, Jim, to as we're kind of talking
about that, uh, you know, inputsand outputs, I love to utilize
AI to look for discrepancies, tolook for anomalies, to look for
errors.
So one that, you know, clientsrun into a lot is like, oh, our
pricing isn't accurate, right?
The pricing changed and maybe itgot updated in our system, maybe

(42:06):
it didn't, you know, maybe wemissed that flyer, whatever.
Um, and so just being able toeven do some data analysis or
analysis around is thisaccurate?
Is this quote accurate?
Is this bid accurate?
This estimate accurate, and doesit match what we have in our
system or are there anomalieshere?
Um contract updates, changeorders, things like that are so

(42:28):
great to run through your AItools to be able to check and
see like, are things like arewhat we producing consistent
with what we would expect andwhat the LM would expect?
Um, so it's great for qualitycontrol too.

SPEAKER_05 (42:42):
Yeah.

SPEAKER_00 (42:43):
Yeah.

SPEAKER_05 (42:44):
Um, what what other use cases from a data analysis
perspective do you think wouldwould be impactful or kind of
more maybe more advanced ones?
I don't know, just like what aresome other use cases you've seen
being implemented?

SPEAKER_00 (42:57):
Yeah, forecasting.
I mean, if you think about itlike AI right now, there are
people who specialize in usingAI to like predict the stock
market, right?
And so if you think about that,you have the exact same tool
that you can be using to makepredictions for your business.
And so I just want to like lobthat little softball out there

(43:17):
for you that uh you shouldabsolutely be running market
analysis and uh be forecastingfor your business.
You can provide it history,right?
Hey, here's how we've performedin the past.
This is what it's looked like.
Make some projections for me ofwhat we can anticipate for in in
2026.
Again, I think it's just such agame changer.
I think about how we run ourbusinesses for so long, and now

(43:40):
all of a sudden it just itrewrites the script, right?
So as you're coming into the orin September, I know a lot of
you by the time this airs,right?
Maybe it'll be the end of theyear, Jim.
And so a lot of us kind of inthe fall, toward the end of the
year, we start thinking aboutplanning for our next year.
And if you're not using AI tohelp you in your strategic
planning process, you aremissing out.

(44:03):
You are missing out.

SPEAKER_05 (44:05):
Yeah.
Go back and and and ask it to doa market analysis, a competitive
analysis, and and and andprovide ideas on how you can add
additional market share or takeadditional market share into
your business.
And maybe it comes up with someideas, like that those those
those uh the the game planningsessions, right?

(44:27):
Like just having conversationswith it um are fantastic.
What about getting into likecomplex industry knowledge and
concepts?
Like how you know how how howcan it be used or how how do you
see it being used for thosetypes of situations?

SPEAKER_00 (44:46):
Yeah, again, one of my favorite areas because I
think so often as organizations,we're just not that great at
communicating uh to the in theway that people want to hear it
or the people need to hear it,right?
We often think about like, well,I this is my focus.
And so I'm gonna provide thisinformation to you from my lens

(45:07):
instead of taking the time toslow down and think about like,
how would Jim want to hear this?
How would my employees want tohear this?
How would my customers want tohear this?
How would my brand new employeewant to hear this?
Who is no industry experience,right?
And so being able to takeinformation, again, a huge
amount of digestion andinformation.
One of my um other favoritetools that we coach on and love

(45:27):
to equip people with is NotebookLM.
Um, and so utilizing notebook LMis such a great way to take a
lot of just rich like contextand information, almost like
think about it, like yourtextbooks of your industry.
What would the textbook of yourcompany be?
Maybe it's your playbooks, maybeit's your SOPs, maybe it's your
product information, maybe it'syour install, maybe it's your

(45:49):
safety policies and information,right?
Whatever your quote textbookwould be, um, kind of providing
all of that information and thenbeing able to ask your LLM.
Um, one, you can, you know,utilizing Notebook LM, you can
now be chatting and engagingwith that information and asking
questions.
And it's directed to just thatone source.
Um, you can also do this with uhChat GBT via projects.

(46:12):
So that's just kind of anotherfeature in that uh in that
resource.
Um but now like you're kind ofhyper focusing.
So instead of, I always kind ofjoke, like, remember, you're
engaging with the smartestentity in the path in the world.
So if I go into the library andI'm like, I want to learn
something, the librarian's like,okay, cool, like what?
What do you want to learn?

(46:33):
Right.
And so that context all of asudden becomes really important
and helping steer uh thesmartest entity into like where
it's going to guide and directme next.
And so by utilizing tools and AIuh features that allow you to
kind of hyperfocus the attentionand the targeted information, it
allows you to have a tighter,more concise response.

(46:56):
Again, we don't always wantthat, but when we do, uh knowing
how to use those AI tools to getthat is really important, um,
especially for you know newemployees or your customers.
So kind of doing that digestion,being able to chat back and
forth with it, uh, creatingsummaries and uh study plans and
things like that can be a greatway.
And then even just asking it tosimplify.

SPEAKER_02 (47:18):
So if I'm taking uh information, I know you're
enjoying the episode, but let'sgive a shout out to another one
of our sponsors.
Stop going at it alone becausegrowing a roofing company today
is not what it was like eventhree years ago.
Not with the economy, not withprivate equity, not with AI
taking over the world.
And let's not forget insurancerewriting the rules.

(47:39):
Join the community of rooferswho don't really like roofers.
We share our winning secrets tohelp each other dominate in
today's fast-changing andunpredictable times.
Click the link in thedescription to apply to join.

SPEAKER_00 (47:53):
And then even just asking it to simplify.
So if I'm taking uh information,here's an example of one that we
did was we took uh an installmanual and we said, write some
uh training for around thisinstall manual.
And then we broke it up and wesaid, write the training for our
production team.

(48:14):
And then we said, no, write thetraining for our sales team
because the information that mysales team needs and how they're
gonna receive that productknowledge is very different than
how my production team is goingto receive and look at and want
to, you know, absorb thatinformation.
And so now not only like rightbefore you didn't even have a
training tool at all on thatproduct information.

(48:35):
Now you do.
And now not only do you havethat training, you have it hyper
focused toward the role.
Um, and so I think that's justlike a great way to take complex
industry knowledge, refocus ituh toward, you know, your
different team members and makeit accessible and meaningful to
them, right?
Um, same thing.
Okay, how how can I talk to mycustomers?
How should I talk to mycustomers about this?

(48:56):
How should I talk to myemployees about this?
How should I talk to my adminsabout this?
What should they know?
Um, I just love it for that uhthat customization piece of it.

SPEAKER_05 (49:05):
Yeah, the uh that makes me think of a podcast that
I was or a YouTube, it was aYouTube video that I was
watching recently with TomBilieu.
Um and and uh I can't rememberthe the guest's name, but but it
was uh all around AI and howfast AI is moving.
And and the guest had to talk tohim.

(49:25):
So Tom Biliew's the the founderof Quest Nutrition.
And he said, think about how howlong it took you to start up
Quest Nutrition.
You had to like determine whatyou were gonna make, what
nutritional information youwanted that to have, like what
you had to sit and and and yearsand years of planning and
determining what what suppliercould you could get this from

(49:49):
and and what what manufacturerthat you could have uh you know
process it and it and there'sthe and then who's gonna
logistically send it and and andthe person made a point, the
guest made a point, like itmaybe not right now, but as soon
as the agents start interactinga little bit more, like which

(50:11):
which will be coming very soon,and they already start they're
already starting to N8N isalready like the base of that
where you can get thingsinteracting and talking to each
other and and creating thesethese really cool flows,
workflows.
But what if uh like what if thattimeline of Quest Nutrition's
launch went from two years totwo months?

(50:32):
Yeah, yeah, and was and and wasjust as or more effective.
So I'll I talk to roofingcontractors all the time.
They're like, man, I want to doas I want to build up an SOP
library, but I don't have time.
I want to train salespeople, butI don't have time.
I want to uh build an org chartaccountability chart.

(50:54):
I don't know how to jobdescriptions for everything,
like all of those things thatyou don't have time for, this
creates that, right?
It shortens that window of timein such an amazing way that
here's the thing that's gonnahappen if you are not the person
taking advantage of it.

SPEAKER_01 (51:15):
Yeah.

SPEAKER_05 (51:15):
Think of it from a like uh, you know, we we're
talking to roofing businessowners so that are listening
here, a lot of roofing businessowners.
And so now what if uh you know,uh if you think about the the
team that you're attracting,right?
Like you some of the the themost efficient companies, a lot
of times they'll attract the thebetter, better talent, better

(51:38):
team members, because wow, thisis so it's so easy to sell for
this company.
Yeah, they're processed, theyhave all the processes that like
everything is perfect, like itit's and and so now you can you
can become that quickly, likevery, very quickly.

SPEAKER_00 (51:56):
It's such a competitive advantage, Jim.

SPEAKER_05 (51:58):
And I mean that's exactly now, but it won't be,
yeah, but it won't be.
Here's what like it will not besoon.
So for everyone listening,future proof your business,
right?
Like by the time this airs, itmight be something different,
right?
Like there may be some coollittle tools, right?

SPEAKER_00 (52:15):
You know what?
I mean, that's an importantpart, Jim.
And I think that's why, like inour training and our education,
we focus so much on the usecases because the tools are
going to change, right?
And they are going to evolve andget better, which is fantastic.
Like, we want that for ourbusinesses, but we need to be
able to have like the line ofsight to say, oh, this is where

(52:35):
I apply this in my organization.
And like we go a step furtherand we're training the employees
to be able to say, This is how Iapply this in my personal
individual role.
And that empowerment is such agame changer because often we
see kind of this, you know, AIhero at the organization that
it's one person and they'resuper excited about it, whether

(52:57):
that's the owner or just anindividual employee, but they
kind of lock in on thatknowledge, right?
They're your they're yourbottleneck, honestly, because
they're the keeper of theinformation and they're just one
person.
And maybe they can go around andthey can help start to build
some NAM workflows for you andyou know, they can do some uh
get some really cool integrationgoing for you.

(53:18):
And that's fantastic.
Like I think it's a both and butyou get the most power when your
employees are equipped withunderstanding how they can be
applying AI to their personalroles, and that's where like we
just uh that I don't have time.
The the companies that aretraining their employees right
now on how to use these AI toolsto their specific roles are the

(53:39):
ones that are gonna win.
And and that's like the fact westarted AI Rafine Revolution in
the first place is we wanted toteach the entire industry how to
automate and dominate.
Like that was that was it, youknow?
And so um it's and it's so fun,Jim.
It's so fun, it's so fun to seeowners and employees on the same

(53:59):
call using these tools and beingable to like have this
collaborative, creative momentwhere it's like, oh, I'm doing
this, and they get to share andthey get to, you know, provide
their insight on what they'redoing.
And then that sparks to somebodyelse, like, oh, I I'm gonna do
that too here, or like, oh,maybe I could tweak that a
little bit for my job.

(54:20):
Um, and so just even creatingthis environment where people
are trying and testing andexperimenting with these tools
together, um, it it just itlends to more organizational
proficiency with the AI tools.

SPEAKER_05 (54:36):
Yeah.
There's is it it's like I thinkuh it might have been on the the
session we did for the RSRA, butit's that multiplication.

SPEAKER_01 (54:46):
Yeah.
That's it.
Yeah.

SPEAKER_05 (54:49):
Let's do talk about that for people.
Like talk about themultiplication effect that this
can have in their business.

SPEAKER_00 (54:57):
100%.
I and I talk about this, whetherit's leadership or culture,
anything that you are trying tomove the needle on in your
organization.
We have one person that's theowner of that, and they're the
leader on that, and that's theonly leader.
Uh, they all they can do is add,right?
They can add to the numbers,they can do one more person and
one more person and one moreperson.

(55:18):
But if I train and equip my teamto also be leaders, right?
And now I have leaders ofleaders, and those people are
empowered and enabled to be ableto go out and help train other
people, we now move into thestage of multiplication.
And multiplication means thatwe're getting adoption
significantly faster than thosewho are doing addition.

SPEAKER_05 (55:42):
And it and if you're and and that was true, that was
true pre-AI.

SPEAKER_00 (55:47):
For sure.

SPEAKER_05 (55:48):
Yeah, right.
That was true pre-AI.
But now if you take how it canamplify your time, yeah, like
and now multiply that, it's anexponential multiplication,
right?
Like this is exponentialquickly.
This gets exponential very, veryquickly.

(56:08):
Let's talk a little bit likewhat are what else does a
roofing company owner need toknow?
Or someone that's maybe ageneral manager, or or like how
do you take, you know, I I Ifeel like people are gonna push
back.
They're you know, I I've talkedto my my friend, you know, a lot

(56:29):
of people in the roofingindustry, both um um my friend
Andrew Carney with with KirknessRoofing, we've had these
conversations.
Um and he's worried he'sworried.
Like he's worried about thepeople, yeah.
Right.
And he's worried about you knowwhat happens to this, what
happens to to the peopleinvolved.

(56:50):
And so what can an organizationdo not just to empower their
people, but like how do we howdo we how do we navigate this?
How do we navigate this thisthis the tidal wave that's
coming?

SPEAKER_00 (57:04):
Yeah, yeah.
Well, you know, in one of ourpast conversations, we talked
about strategic uh planning foryour teams, strategic talent
management and looking ahead uhin your organization.
And I think you as an owner havea responsibility to be thinking
about how your org chart isgoing to look different and what
that's going to mean for yourteams, and then casting that

(57:25):
vision for them.
Like you have to write them intothe narrative and help them see
why these tools are going to bebeneficial for them and what
it's going to mean when they'redoing different tasks, right?
Um, one of the things I like tosay or ask is like, what would
you do if you didn't have to dothat thing that's slowing you
down?
Like, what's that thing thatyou've been itching to get to

(57:46):
and that you want to get done?
But every day you just feel likeI don't have time to get it done
in my job.
Inviting employees into thatconversation and into the
narrative of like what thefuture of the organization is
going to look like is a reallyimportant step to helping them
feel comfortable and confident.
If you're out there talkingabout how, like, oh, I can't
wait until this replaceseverybody on my team, like, uh,

(58:07):
what do you think that's gonnado for your employees?
You know, I started my careergym in manufacturing and I was
lean certified, lean six sigmacertified.
And the whole concept of inefficiency and improving your
process is that you don't leanpeople out of a job or they
won't adopt it, they'll beresistant, right?
Why would I why would I do thisthing that you're giving to me

(58:27):
if it just is gonna mean that Idon't have a job anymore?
Right.
Um, so it's a similar conceptwith AI tools is like you're
bringing efficient efficiencyinto your organization.
So they need to see what they'regetting back.
What could you offer?
What could you be providing?
And you know, maybe this is justlike the eternal optimist in me
in this like utopian societythat we could live in.

(58:49):
But maybe instead of justthinking about the profit and
the, you know, what you're goingto get in your organization,
maybe you start thinking aboutwhat you're going to give back
to your employees.
What kind of culture are yougoing to have where it's like,
oh, you know what?
We actually did like we can moveto a four-day work week because
of all the efficiency that wegave.
Or like, hey, we have moreflexibility now in our in our

(59:12):
practices to be able to offeryou more time to go and see your
kids' sports or do whatever isimportant to you, fishing or
hiking, whatever it is, right?
So starting to think about likeyou as an organization are going
to have gains from this ifyou're implementing it.
But if you really want to getthe most out of it, you need to
be thinking about how you'resharing those gains with your

(59:33):
employees so that they can beattracted to this idea.
And again, like write them intothe narrative, write them into
the future of this so they seewhat's in it for them.

SPEAKER_05 (59:43):
Yeah, that's awesome.
Roz, this has been awesome.
Check out the AI RoofingRevolution,
airoofingrevolution.com.
This has been another episode ofthe Roofing Success Podcast.

SPEAKER_04 (59:55):
Thank you for tuning into the Roofing Success
Podcast.
For more valuable content, visitRoofing Podcast.
Roofing SuccessPodcast.com.
While there, check out oursponsors for exclusive offers,
shop for merchandise, and signup for our newsletter for
industry updates and tips.
Also, join the Roofing SuccessFacebook group to connect with
other professionals and stayupdated on the latest trends.

(01:00:18):
If you enjoyed this episode,please subscribe, like, share,
and leave a comment.
Your support helps us continueto bring you top industry
insights.
The website link is in thedescription.
Thanks for listening.

All Episodes

Episode Transcript

Popular Podcasts

Stuff You Should Know

Las Culturistas with Matt Rogers and Bowen Yang

Dateline NBC

.css-15opob5{left:0;position:absolute;top:0.8rem;} All Episodes

.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}Automate & Dominate: How Smart Roofers Are Winning the AI Revolution

Episode Transcript

Popular Podcasts

.css-r6mb8g{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:1;overflow:hidden;}Stuff You Should Know

Las Culturistas with Matt Rogers and Bowen Yang

Dateline NBC

All Episodes

Automate & Dominate: How Smart Roofers Are Winning the AI Revolution

Stuff You Should Know