· Behind the Code
AI Adoption, Supply Chain & Social Selling | Heather Sye
Summary
Heather Sye joins Amit to discuss the organizational work behind useful AI adoption and effective go-to-market execution. She explains why readiness for change, feedback between teams, vendor expectations, and adoption measurement matter alongside the technology. The conversation covers messy supply chain data, keeping oversight close to consequential decisions, and using LinkedIn strategically to move from broad attention toward business conversations.
Key takeaways
- Transformation needs organizational willingness; persistent resistance can prevent a technically promising engagement from succeeding.
- Agree on vendor outcomes explicitly and assign internal responsibility for getting people to adopt the tool.
- Data readiness is a real constraint in supply chains where governance is weak and systems do not connect.
- Keep human oversight closer to automations whose errors could cause financial or reputational harm.
- Give attention-generating LinkedIn posts a place in a broader strategy instead of treating every engagement as pipeline.
Chapters
Choose a chapter to jump to that moment in the conversation.
- 0:00Introducing Heather and her go-to-market work
- 5:02Organizational readiness for transformation
- 10:02Listening to feedback across teams
- 13:07Vendor expectations and adoption ownership
- 17:10Why supply chain data readiness matters
- 19:45Matching human oversight to consequences
- 34:46Attention, social selling, and pipeline
Transcript
Transcript reviewed for accuracy. View the original conversation on YouTube ↗
Behind the code.
Behind the co. [music and singing]
Behind the co. [music and singing] That's where the future grows.
That's where the future grows. Welcome to behind the code. My name is
Welcome to behind the code. My name is Zit and with me today I have founder and
Zit and with me today I have founder and go to market leader Heather Sai. Welcome
go to market leader Heather Sai. Welcome to the show Heather.
to the show Heather. Thanks EMTT. Great to be here.
Thanks EMTT. Great to be here. Really appreciate you joining. Uh if you
Really appreciate you joining. Uh if you don't mind just giving a little intro
don't mind just giving a little intro about yourself that'd be great.
about yourself that'd be great. For sure. Um I'm Heather. Um I'm
For sure. Um I'm Heather. Um I'm Canadian. grew up, born and raised out
Canadian. grew up, born and raised out just outside of Vancouver, Canada. And I
just outside of Vancouver, Canada. And I help uh founders of early safe startups
help uh founders of early safe startups go to market, build social selling
go to market, build social selling processes, really understand how to
processes, really understand how to bring their technology or their product
bring their technology or their product to the rest of the world.
to the rest of the world. Amazing. That is a a highly soughtafter
Amazing. That is a a highly soughtafter skill at this time.
skill at this time. I hope so.
I hope so. Yeah. Yeah. Um, so we're going to get
Yeah. Yeah. Um, so we're going to get into that a little bit uh later in in
into that a little bit uh later in in our conversation, but if we could start
our conversation, but if we could start out just on the operational side of
out just on the operational side of supply chain and AI where you've spent
supply chain and AI where you've spent the last bit of your your time working
the last bit of your your time working on that area. I'm curious like what
on that area. I'm curious like what pulled you into that space.
pulled you into that space. Yeah. Um, so I have been working in in
Yeah. Um, so I have been working in in technology and in a leadership capacity
technology and in a leadership capacity now for uh about 15 years. um not
now for uh about 15 years. um not specifically in supply chain but just
specifically in supply chain but just around artificial intelligence. Um so it
around artificial intelligence. Um so it just kind of progressed from artificial
just kind of progressed from artificial intelligence in banking and insurance um
intelligence in banking and insurance um over time it it kind of over overlapped
over time it it kind of over overlapped with supply chain and um just kind of
with supply chain and um just kind of fell into it so to speak.
fell into it so to speak. Got it. And that's a um pretty pretty
Got it. And that's a um pretty pretty long period of time working in
long period of time working in technology that's uh changed quite a bit
technology that's uh changed quite a bit over the last 10 year cycle or 15 year
over the last 10 year cycle or 15 year cycle especially in the last 3 years. Um
cycle especially in the last 3 years. Um what do you think is something and this
what do you think is something and this might be relevant to a lot of people
might be relevant to a lot of people listening in. What do you think people
listening in. What do you think people misunderstand at the enterprise level of
misunderstand at the enterprise level of how technology actually gets adopted?
how technology actually gets adopted? That's uh yeah um the the world of
That's uh yeah um the the world of technology is constantly evolving and so
technology is constantly evolving and so I think that's the number one thing to
I think that's the number one thing to to understand that there there's a lot
to understand that there there's a lot of innovation constantly happening and
of innovation constantly happening and the speed of innovation right now is
the speed of innovation right now is unlike any other time. So um your your
unlike any other time. So um your your ERPs or the technology that you'd be
ERPs or the technology that you'd be accustomed to over the last 10 years and
accustomed to over the last 10 years and might be comfortable with it's not
might be comfortable with it's not necessarily standing up to uh the way
necessarily standing up to uh the way other systems are working these days.
other systems are working these days. Hm. So, so I I guess there's almost like
Hm. So, so I I guess there's almost like a a clash in legacy um systems
a a clash in legacy um systems [clears throat] or systems understanding
[clears throat] or systems understanding versus trying to adopt how how
versus trying to adopt how how technology is working today. Um this is
technology is working today. Um this is a follow-up question. What do you think
a follow-up question. What do you think is like a best practice people can use
is like a best practice people can use to overcome that hurdle uh inside a
to overcome that hurdle uh inside a inside a large enterprise?
inside a large enterprise? There's a few things. Um number one is
There's a few things. Um number one is uh you know kind of leaning into in some
uh you know kind of leaning into in some capacity being an AI native company. Now
capacity being an AI native company. Now that doesn't mean that you have to run
that doesn't mean that you have to run like a startup or it doesn't mean you
like a startup or it doesn't mean you have to run like a tech company but just
have to run like a tech company but just understanding um how artificial
understanding um how artificial intelligence works and looking at
intelligence works and looking at different ways to weave in technology
different ways to weave in technology throughout various forms of processes.
throughout various forms of processes. not just kind of bolting it on to um
not just kind of bolting it on to um what you're already doing be big
what you're already doing be big begrudgingly. Um and so what I what I
begrudgingly. Um and so what I what I mean by that is really taking a top-
mean by that is really taking a top- down approach to saying a technology is
down approach to saying a technology is is here and we're leaning into it. We're
is here and we're leaning into it. We're we're a company uh that likes to test
we're a company uh that likes to test things that likes to explore um and and
things that likes to explore um and and see what works. So I I guess there's
see what works. So I I guess there's like something to take and just drawing
like something to take and just drawing on your experience because you've been
on your experience because you've been at later stage companies and regulated
at later stage companies and regulated industries like banking and then with
industries like banking and then with startups um would you say like that's
startups um would you say like that's the piece you'd pick out as a common
the piece you'd pick out as a common thread like remaining with like a
thread like remaining with like a learner's mind and being open to
learner's mind and being open to experiment?
experiment? That's uh certainly certainly one piece.
That's uh certainly certainly one piece. Um I think it goes a long way having
Um I think it goes a long way having leaders kind of lead from the front and
leaders kind of lead from the front and and having that learner um that open
and having that learner um that open mindset to to new things.
mindset to to new things. Um but then it's also uh bring on other
Um but then it's also uh bring on other people maybe externally that uh are
people maybe externally that uh are subject matter experts that can support
subject matter experts that can support that growth and that transition into a a
that growth and that transition into a a more modern organization. M so like
more modern organization. M so like there's a value to I guess have someone
there's a value to I guess have someone with a narrow skill set that you can
with a narrow skill set that you can bring in at least temporarily to maybe
bring in at least temporarily to maybe accelerate your organization.
accelerate your organization. Absolutely. And I've seen different
Absolutely. And I've seen different roles uh and how that plays out like
roles uh and how that plays out like there's um new roles like for deployed
there's um new roles like for deployed engineers or operators and essentially
engineers or operators and essentially their role is to support and execute on
their role is to support and execute on various forms of technological
various forms of technological transformation and support the
transformation and support the organization from kind of like a
organization from kind of like a middleman standpoint. Um I I found those
middleman standpoint. Um I I found those type of um um positions and and kind of
type of um um positions and and kind of adopting those personas within your
adopting those personas within your organization to be very very helpful.
organization to be very very helpful. And do do you think like or have you
And do do you think like or have you experienced um there are different
experienced um there are different groups inside an organization that have
groups inside an organization that have uh like a very maybe polarized opinion
uh like a very maybe polarized opinion on bringing in an external operator and
on bringing in an external operator and and if so like how do you get over that?
and if so like how do you get over that? Sometimes you can't. So, I like to work
Sometimes you can't. So, I like to work with organizations that um I don't
with organizations that um I don't necessarily have to force up the hill.
necessarily have to force up the hill. Um you know, maybe they're not early
Um you know, maybe they're not early adopters yet, but they see the value and
adopters yet, but they see the value and they see the need to transform. If I'm
they see the need to transform. If I'm working with a company where at every um
working with a company where at every um every stage I'm getting a lot of push
every stage I'm getting a lot of push back and and um a lot of um resistance
back and and um a lot of um resistance to transformation, it's probably not
to transformation, it's probably not going to uh end up good for anybody. Uh,
going to uh end up good for anybody. Uh, so I would I would say if they're really
so I would I would say if they're really reluctant to um other opinions and forms
reluctant to um other opinions and forms of doing business, then they're they're
of doing business, then they're they're probably not going to be a great
probably not going to be a great candidate for transformation at the
candidate for transformation at the state.
state. Got it. I guess that would be the first
Got it. I guess that would be the first transformation would be to to overcome
transformation would be to to overcome that mindset.
that mindset. Yeah. Yeah. Yeah. No, that makes perfect
Yeah. Yeah. Yeah. No, that makes perfect sense. They they say a lot of um like AI
sense. They they say a lot of um like AI adoption is organizational level people
adoption is organizational level people transformation. So uh and having like
transformation. So uh and having like worked through that myself, it's true
worked through that myself, it's true like I think what you said is exactly
like I think what you said is exactly right. If you have a a fixed mindset and
right. If you have a a fixed mindset and a particular approach and you're
a particular approach and you're unwilling to change it, it's a very
unwilling to change it, it's a very difficult project to undertake with
difficult project to undertake with those kind of groups.
those kind of groups. Absolutely. Yeah.
Absolutely. Yeah. And so you've worked on um established
And so you've worked on um established products, products in motion, startups,
products, products in motion, startups, and with different groups. How do you
and with different groups. How do you change your approach uh when it comes to
change your approach uh when it comes to sales and positioning specifically when
sales and positioning specifically when a product is evolving? Um, I mean, if
a product is evolving? Um, I mean, if you're with a household brand, you know,
you're with a household brand, you know, if you're with like a a Salesforce or an
if you're with like a a Salesforce or an SAP, when you go into sales calls,
SAP, when you go into sales calls, everybody knows why we're here.
everybody knows why we're here. Everybody knows what the product is in
Everybody knows what the product is in some capacity. Uh, so you're already
some capacity. Uh, so you're already three steps ahead. When you're going in
three steps ahead. When you're going in completely green with an unknown
completely green with an unknown product, maybe um even a new category of
product, maybe um even a new category of product uh and an unknown brand, you
product uh and an unknown brand, you have to do a lot of work to gain trust
have to do a lot of work to gain trust and to gain understanding and and to
and to gain understanding and and to really like hold your prospect your
really like hold your prospect your prospect's hand through the entire
prospect's hand through the entire process in order to in in order to to
process in order to in in order to to get the sale at the end of the day. It's
get the sale at the end of the day. It's it's a bit more of a of a push. M and
it's a bit more of a of a push. M and that process of um holding hands not not
that process of um holding hands not not like figuratively holding hands is
like figuratively holding hands is you could do it really too.
you could do it really too. That's that's true. Yeah. Depending on
That's that's true. Yeah. Depending on the customer that that could be true. Um
the customer that that could be true. Um how does that unfold? Like is it uh like
how does that unfold? Like is it uh like white glove service through the
white glove service through the onboarding like what is it the thing
onboarding like what is it the thing that people can actually put into
that people can actually put into practice?
practice? Uh there's a few things you can do. Um,
Uh there's a few things you can do. Um, so yeah, I think in in general all
so yeah, I think in in general all startups and technology companies and
startups and technology companies and vendors in general should lean into a
vendors in general should lean into a white glove type of service even if
white glove type of service even if you're the big guy, right? Um, your
you're the big guy, right? Um, your business is never guaranteed. So, uh,
business is never guaranteed. So, uh, leaning into obviously great service,
leaning into obviously great service, um, understanding and, uh, maybe reading
um, understanding and, uh, maybe reading the customer and what with what's not
the customer and what with what's not being said. And what I mean by that is
being said. And what I mean by that is uh when we're going through like a proof
uh when we're going through like a proof of concept or any stage of the sales
of concept or any stage of the sales cycle uh the things that they bring up
cycle uh the things that they bring up even if they're not directly complaining
even if they're not directly complaining um they they could be indicators that
um they they could be indicators that like something is not sticking with your
like something is not sticking with your product. So it it can be something some
product. So it it can be something some sort of response that you feed back to
sort of response that you feed back to the product. Maybe maybe the UI is just
the product. Maybe maybe the UI is just not uh is just not hitting in the right
not uh is just not hitting in the right space or maybe a certain feature sounds
space or maybe a certain feature sounds really cool to us on the text side but
really cool to us on the text side but on the user side it's really not
on the user side it's really not applicable. So having that constant
applicable. So having that constant feedback cycle between sales which is
feedback cycle between sales which is the you know the first point of contact
the you know the first point of contact for the customer all the way to product
for the customer all the way to product and leadership I think is is a very
and leadership I think is is a very important mechanism to to to really
important mechanism to to to really accustomize uh your organization
accustomize uh your organization and have you observed like um teams
and have you observed like um teams across uh sales CS product I know it's a
across uh sales CS product I know it's a it's an increasing trend where um
it's an increasing trend where um feedback is being just real time
feedback is being just real time streamed into Slack and then maybe AI
streamed into Slack and then maybe AI agents are action some pieces of it. Um,
agents are action some pieces of it. Um, my curiosity there is like have you seen
my curiosity there is like have you seen where that still causes a disconnect
where that still causes a disconnect between customer and product experience
between customer and product experience even though that's like being automated
even though that's like being automated in some way?
in some way? C. Yeah, definitely. I mean there
C. Yeah, definitely. I mean there there's a few ways that could get lost.
there's a few ways that could get lost. Number one is if you have like too many
Number one is if you have like too many notifications and you have too many um
notifications and you have too many um emails or bumps or uh you know your CRM
emails or bumps or uh you know your CRM messaging uh constantly chattering um
messaging uh constantly chattering um you're going to ignore it all. I'm I'm
you're going to ignore it all. I'm I'm terrible for that. Like if I have way
terrible for that. Like if I have way too many notifications, everything's
too many notifications, everything's getting ignored. So, and and that's a
getting ignored. So, and and that's a risk um um for any type of organization.
risk um um for any type of organization. If you have too many signals, you might
If you have too many signals, you might as well have none because they're just
as well have none because they're just going to get ignored,
going to get ignored, right?
right? Um so, is that that that's one way, but
Um so, is that that that's one way, but then it's also, you know, goes back to
then it's also, you know, goes back to the mindset of the startup as well. Do
the mindset of the startup as well. Do you have a culture of um of of no ego
you have a culture of um of of no ego and of understanding? So if for example
and of understanding? So if for example a customer success or product is getting
a customer success or product is getting feedback from sales saying hey this is
feedback from sales saying hey this is not landing this is not resonating how
not landing this is not resonating how do they receive that kind of information
do they receive that kind of information are they really defensive do they blame
are they really defensive do they blame the customer do they blame sales um and
the customer do they blame sales um and what's the process for them kind of
what's the process for them kind of fixing or or taking that that feedback
fixing or or taking that that feedback and and implementing it. M. So there has
and and implementing it. M. So there has to be like some level of um inbound
to be like some level of um inbound notification triage for it to like the
notification triage for it to like the important things to get through and the
important things to get through and the other ones to get filtered out.
other ones to get filtered out. I I would say so for sure.
I I would say so for sure. Got it. Um just switching back to your
Got it. Um just switching back to your your work in the supply chain industry
your work in the supply chain industry for a moment. Um if I'm running uh like
for a moment. Um if I'm running uh like a logistics company or supply chain org
a logistics company or supply chain org today, uh where would you tell me not to
today, uh where would you tell me not to start with AI?
start with AI? Oh, there's so many so many places. Um I
Oh, there's so many so many places. Um I think if we're going in green like you
think if we're going in green like you know we've never we've never done any
know we've never we've never done any sort of transformation work before um
sort of transformation work before um often times we look at like those
often times we look at like those massive really exciting AI success
massive really exciting AI success stories like the Walmarts or the
stories like the Walmarts or the Starbuckses organizations that really
Starbuckses organizations that really have been working in the space and
have been working in the space and transformation for many many years and
transformation for many many years and we think that we have to go big. So we
we think that we have to go big. So we want to boil the ocean. we're going to
want to boil the ocean. we're going to throw down a couple million dollars to
throw down a couple million dollars to to um run a huge project. I would say
to um run a huge project. I would say dial it back and kind of look at some of
dial it back and kind of look at some of the, you know, the more boring use cases
the, you know, the more boring use cases that are high impact and start to again
that are high impact and start to again understand um AI governance in the
understand um AI governance in the organization. Understand where your data
organization. Understand where your data is at, understand um where where our our
is at, understand um where where our our people are at in terms of adoption and
people are at in terms of adoption and growth. And just building on that, like
growth. And just building on that, like um you've made the argument just uh in
um you've made the argument just uh in through your posts um that some
through your posts um that some companies have too many tools um instead
companies have too many tools um instead of too few. Like what do you think like
of too few. Like what do you think like what's going on there? Like what's where
what's going on there? Like what's where are they where are they getting it wrong
are they where are they getting it wrong in that case?
in that case? Um I mean if you take like sales teams
Um I mean if you take like sales teams for example there there's a million and
for example there there's a million and one different sales tools that will
one different sales tools that will promise you know 67% more productivity
promise you know 67% more productivity if you just spend an extra $100 a month
if you just spend an extra $100 a month per person. And you know, it it it makes
per person. And you know, it it it makes sense in the sale and and it's like,
sense in the sale and and it's like, okay, if we just give more resources to
okay, if we just give more resources to our teams, they're going to do better
our teams, they're going to do better and it's going to solve everything. Um,
and it's going to solve everything. Um, as opposed to kind of fix fixing maybe
as opposed to kind of fix fixing maybe maybe there's a problem underneath and
maybe there's a problem underneath and um maybe our teams aren't uh leaning
um maybe our teams aren't uh leaning into technology, there's an adoption
into technology, there's an adoption issue or um some of these tools don't
issue or um some of these tools don't perform the way that they've been
perform the way that they've been advertised. So, uh, I I see that a lot
advertised. So, uh, I I see that a lot with now particularly with AI, a lot of
with now particularly with AI, a lot of disjointed and and um competing systems
disjointed and and um competing systems that don't necessarily need to be there,
that don't necessarily need to be there, right? So, in that in that like um like
right? So, in that in that like um like I guess expanding that further a lot of
I guess expanding that further a lot of time these uh like tools are very
time these uh like tools are very impressive like in in the demo or if
impressive like in in the demo or if they're searching it out and reading
they're searching it out and reading through the positioning on a website.
through the positioning on a website. Um, where do you see like a difference
Um, where do you see like a difference or where have you seen a difference
or where have you seen a difference between something that is impressive
between something that is impressive like at an executive level versus
like at an executive level versus something that teams actually implement
something that teams actually implement and use over a six like six month cycle
and use over a six like six month cycle or one year cycle? I would say um the
or one year cycle? I would say um the difference is going to be and and like
difference is going to be and and like all things being equal with with
all things being equal with with different technologies and startups. Um
different technologies and startups. Um what would make a difference is if we go
what would make a difference is if we go into any sort of engagement with a a
into any sort of engagement with a a vendor um with a clear set of
vendor um with a clear set of expectations um and and this should be
expectations um and and this should be written out and should be agreed upon
written out and should be agreed upon and not just skimmed, right? So actually
and not just skimmed, right? So actually let's have a discussion what I want to
let's have a discussion what I want to achieve and who is um who who here is
achieve and who is um who who here is involved. Um and then you have in on the
involved. Um and then you have in on the internal side different types of metrics
internal side different types of metrics for adoption on your team. So that's not
for adoption on your team. So that's not going to be the technologies
going to be the technologies responsibility. That's not going to be
responsibility. That's not going to be um on your vendor shoulders if you
um on your vendor shoulders if you aren't getting your people to actually
aren't getting your people to actually use the tool that you are paying money
use the tool that you are paying money for. Right? I I can't force your um your
for. Right? I I can't force your um your your planners to log into their their
your planners to log into their their systems every day. That that's got to be
systems every day. That that's got to be a leadership exercise.
a leadership exercise. So who like how do you bridge the gap
So who like how do you bridge the gap then between like buyer system user
then between like buyer system user vendor? Um like you said like you can't
vendor? Um like you said like you can't force it but so is there a person that
force it but so is there a person that should own that gap or is it like a
should own that gap or is it like a system of principles or or guiding maybe
system of principles or or guiding maybe agreement between the team itself like
agreement between the team itself like what have you seen work?
what have you seen work? No simple metrics. So, so KPIs are are
No simple metrics. So, so KPIs are are usually a good motivator um for for your
usually a good motivator um for for your team. So, if you're, for example,
team. So, if you're, for example, wanting to get your team to use um like
wanting to get your team to use um like Excel spreadsheets less and use that
Excel spreadsheets less and use that million-doll tool that you purchased to
million-doll tool that you purchased to replace your spreadsheets, then there
replace your spreadsheets, then there should be somebody observing that it's
should be somebody observing that it's getting used,
getting used, right? And you know, there's this old
right? And you know, there's this old saying, um you you can expect what you
saying, um you you can expect what you don't inspect. So if you're not
don't inspect. So if you're not monitoring adoption, if you're not
monitoring adoption, if you're not putting like rewards towards um people
putting like rewards towards um people using it and understanding it, they
using it and understanding it, they probably won't because at the at the end
probably won't because at the at the end of the day, you know, it takes effort to
of the day, you know, it takes effort to understand new technology and to lean
understand new technology and to lean into it.
into it. And and have you seen like um in terms
And and have you seen like um in terms of building that measurement, have you
of building that measurement, have you seen success where um the company and
seen success where um the company and the vendor or the vendor is basically
the vendor or the vendor is basically recommending best practices on how to
recommending best practices on how to measure their own system? Like have you
measure their own system? Like have you seen that?
seen that? Absolutely. And and I would say if
Absolutely. And and I would say if you're if you're a vendor like the the
you're if you're a vendor like the the ideal situation is strong adoption
ideal situation is strong adoption because you know a sale is good but um
because you know a sale is good but um it means nothing if they turn in you
it means nothing if they turn in you know in a year uh and they're going to
know in a year uh and they're going to turn in a year if nobody's using that
turn in a year if nobody's using that tool. So, if you're in implementation
tool. So, if you're in implementation from the get-go, usually I start my
from the get-go, usually I start my conversations with like what's going to
conversations with like what's going to make your team want to use this and how
make your team want to use this and how do I get your team to open up and uh
do I get your team to open up and uh open up that piece of software every
open up that piece of software every single day and use it how it's supposed
single day and use it how it's supposed to be.
to be. So, so the vendor is as responsible for
So, so the vendor is as responsible for measurement as the as the company it is
measurement as the as the company it is itself.
itself. Um I mean it's a you know all of these
Um I mean it's a you know all of these engagements should really be
engagements should really be collaborations. Mhm.
collaborations. Mhm. Um, so, you know, nobody's pointing to
Um, so, you know, nobody's pointing to the other the other side of the
the other the other side of the relationship being like, "It's your
relationship being like, "It's your fault that this failed or, you know,
fault that this failed or, you know, it's nothing works or um, your team
it's nothing works or um, your team isn't doing what they said they would
isn't doing what they said they would do." It should be a collaboration where
do." It should be a collaboration where everybody comes together and lays out
everybody comes together and lays out what the expectations are and what we
what the expectations are and what we need to collaboratively achieve these
need to collaboratively achieve these goals. We all have the same goals at the
goals. We all have the same goals at the end of the day and that's to be
end of the day and that's to be successful. As a salesperson, my goal is
successful. As a salesperson, my goal is to sell. Um, and how I do that and how I
to sell. Um, and how I do that and how I maintain retaining customers is making
maintain retaining customers is making sure the onboarding and the retention is
sure the onboarding and the retention is is great. Um, so it's my best interest
is great. Um, so it's my best interest to make sure that the the my my prospect
to make sure that the the my my prospect is is armed with the best of um of what
is is armed with the best of um of what we can do.
we can do. Got it. And [snorts] so for a company
Got it. And [snorts] so for a company that's um core product or AI
that's um core product or AI implementation requires grabbing on to
implementation requires grabbing on to existing data sets if they hit that if
existing data sets if they hit that if they hit the um like the maybe it's a
they hit the um like the maybe it's a common objection at this point where
common objection at this point where they say like our our data is not ready
they say like our our data is not ready it's it's not ready it needs to be clean
it's it's not ready it needs to be clean like do you think that's a like is that
like do you think that's a like is that legitimate response or is this more of
legitimate response or is this more of not understanding how to get the data in
not understanding how to get the data in a right right place
a right right place 100% it's legitimate and especially in
100% it's legitimate and especially in the world of supply chain um data is is
the world of supply chain um data is is pretty chaotic. It's it's very messy um
pretty chaotic. It's it's very messy um both for you know um poor governance
both for you know um poor governance within data and for like multiple uh
within data and for like multiple uh systems that aren't connected don't
systems that aren't connected don't speak to one another and absolutely if
speak to one another and absolutely if if you you know have um an a have AI
if you you know have um an a have AI speaking to data that's incorrect you're
speaking to data that's incorrect you're not going to get the out um so it's
not going to get the out um so it's definitely legitimate there are there's
definitely legitimate there are there's lots of software out there that can
lots of software out there that can support um cleansing that data
support um cleansing that data automatically uh so you don't have to
automatically uh so you don't have to hire hire three interns to, you know,
hire hire three interns to, you know, fix misspellings within your your ERP
fix misspellings within your your ERP and and all of that really really
and and all of that really really painful stuff.
painful stuff. Um, but but yeah, particularly some of
Um, but but yeah, particularly some of the larger organizations, you aren't
the larger organizations, you aren't going to go anywhere near them until you
going to go anywhere near them until you do like a six-month data project,
do like a six-month data project, right? and and they um in your
right? and and they um in your experience uh at the executive level if
experience uh at the executive level if there's buyin to begin the data project
there's buyin to begin the data project like to actually clean the data and
like to actually clean the data and structure it in a way where it can be
structure it in a way where it can be used by um like like an AI
used by um like like an AI implementation uh is that also an area
implementation uh is that also an area for collaboration or is it like a wait
for collaboration or is it like a wait and come back kind of thing?
and come back kind of thing? It it depends on the the the
It it depends on the the the organization so on the on the vendor. So
organization so on the on the vendor. So some vendors they do they have
some vendors they do they have artificial intelligence that will
artificial intelligence that will cleanse and harmonize that data for you.
cleanse and harmonize that data for you. um which which I think is is fantastic.
um which which I think is is fantastic. They can go in and correct all those
They can go in and correct all those misspellings, create, you know, what's
misspellings, create, you know, what's called an ontology to to make more sense
called an ontology to to make more sense of the the connection between different
of the the connection between different uh pieces of data um and do that
uh pieces of data um and do that automatically for you. So you don't have
automatically for you. So you don't have to hire interns. Uh if they don't offer
to hire interns. Uh if they don't offer that, then unfortunately, you know, you
that, then unfortunately, you know, you have to find another vendor that that
have to find another vendor that that does do data harmonization or you have
does do data harmonization or you have to do it manually. Okay. I I mean, have
to do it manually. Okay. I I mean, have you seen in where we are today with
you seen in where we are today with technology um adoption, have you seen
technology um adoption, have you seen companies go the manual route? Is that
companies go the manual route? Is that still a It is. Okay. Okay. Interesting.
still a It is. Okay. Okay. Interesting. Yeah. And it's as painful as it sounds.
Yeah. And it's as painful as it sounds. [laughter]
[laughter] Yeah. Fair. Fair enough. Fair enough. Um
Yeah. Fair. Fair enough. Fair enough. Um and so working with supply chain
and so working with supply chain leaders, uh what have you seen, um has
leaders, uh what have you seen, um has to be true where when they establish
to be true where when they establish enough trust for an AI system to make
enough trust for an AI system to make decisions, um without human approval?
decisions, um without human approval? Um
Um particularly where we're at with with AI
particularly where we're at with with AI and and probably for the foreseeable
and and probably for the foreseeable future, uh I would say that we should
future, uh I would say that we should always keep a human in the loop. Uh so
always keep a human in the loop. Uh so you know in in terms of my AI strategy
you know in in terms of my AI strategy there's um a human at the center of all
there's um a human at the center of all these different agents and and and
these different agents and and and different automations. Um so in a way
different automations. Um so in a way there's there's always somebody
there's there's always somebody overseas. Um if you have something
overseas. Um if you have something that's very low consequence it's not
that's very low consequence it's not going to damage reputation. It's not
going to damage reputation. It's not going to um if if it there's an error
going to um if if it there's an error there's not going to be a huge financial
there's not going to be a huge financial penalty. you can automate those things
penalty. you can automate those things away and and I have many different types
away and and I have many different types of automations that go up that go
of automations that go up that go without my oversane but the more
without my oversane but the more consequence you have the closer it
consequence you have the closer it should be to
should be to right so so like when how much of I
right so so like when how much of I guess this is an interesting question
guess this is an interesting question where some companies or teams build in
where some companies or teams build in points of intervention where an AI agent
points of intervention where an AI agent should go back and ask a human to for a
should go back and ask a human to for a decision or how to proceed but sometimes
decision or how to proceed but sometimes in the interaction in the real world I'm
in the interaction in the real world I'm just thinking of a example like happy
just thinking of a example like happy robot uh built very sophisticated voice
robot uh built very sophisticated voice agents to act in freight and sometimes
agents to act in freight and sometimes the recipients which maybe is a trucking
the recipients which maybe is a trucking company or a truck driver gives the
company or a truck driver gives the answer and that there is no time to go
answer and that there is no time to go back to the human like it just executes
back to the human like it just executes an action. What what what can a team do
an action. What what what can a team do in that case or is that a natural
in that case or is that a natural outcome of deploying something and
outcome of deploying something and that's acting with other humans in in
that's acting with other humans in in the real world who might not know it's
the real world who might not know it's an AI they're speaking to?
an AI they're speaking to? Oh yeah. Yeah, good point. And you might
Oh yeah. Yeah, good point. And you might see this more and more. I think people
see this more and more. I think people are are starting to kind of in every
are are starting to kind of in every interaction question is this robot? Is
interaction question is this robot? Is this human?
this human? Um and so if you're thinking of like
Um and so if you're thinking of like some sort of chatbot or um customer
some sort of chatbot or um customer service type of artificial intelligence,
service type of artificial intelligence, yeah, you need that real time
yeah, you need that real time interaction. Um usually they have some
interaction. Um usually they have some sort of sequence or flow where it's
sort of sequence or flow where it's like, okay, I can't handle this
like, okay, I can't handle this question. You need to write wait for a
question. You need to write wait for a human and then it's get sent to you a
human and then it's get sent to you a human.
human. Right. So I guess there's like a an
Right. So I guess there's like a an amount of um I guess evolution as
amount of um I guess evolution as consumers and people that we're going
consumers and people that we're going through in real time um which is uh
through in real time um which is uh becoming increasingly harder I guess for
becoming increasingly harder I guess for teams to manage and the need for like
teams to manage and the need for like what you said how do you intelligently
what you said how do you intelligently put the human in the loop.
put the human in the loop. Yeah. Yeah. And and I think all of these
Yeah. Yeah. And and I think all of these kind of things are iterative
kind of things are iterative um which is another lesson with
um which is another lesson with implementation and and transformation.
implementation and and transformation. You don't just set something up and my
You don't just set something up and my world is solved. You know, everything is
world is solved. You know, everything is is good. We're transformed. We're an AI
is good. We're transformed. We're an AI native company. No, AI is works in in
native company. No, AI is works in in terms of um adjusting and and iterating
terms of um adjusting and and iterating on on different flows and understanding
on on different flows and understanding the organization, what works, what
the organization, what works, what doesn't. Um, so absolutely that kind of
doesn't. Um, so absolutely that kind of goes back to having somebody internally
goes back to having somebody internally that that does have a really good
that that does have a really good understanding of the product that does
understanding of the product that does have a really good understanding of your
have a really good understanding of your internal systems and and can make sure
internal systems and and can make sure that everything is consistently flowing
that everything is consistently flowing the way it should be.
the way it should be. I think that's a great point like having
I think that's a great point like having a internal um conductor or someone who
a internal um conductor or someone who can orchestrate this this change. Do you
can orchestrate this this change. Do you think it's always the case that um a
think it's always the case that um a company would have to redesign a
company would have to redesign a workflow or operation or have you seen
workflow or operation or have you seen it where like AI can layer into existing
it where like AI can layer into existing processes in a meaningful way?
processes in a meaningful way? It should. Yeah. Yeah. You should be
It should. Yeah. Yeah. You should be able to particularly um um with your
able to particularly um um with your vendor, you should have things set up
vendor, you should have things set up where they are operational, right? Um if
where they are operational, right? Um if I if I pay for a certain engagement, I
I if I pay for a certain engagement, I should anticipate that everything is
should anticipate that everything is running smoothly. Um but what we're
running smoothly. Um but what we're seeing right now with a lot of systems
seeing right now with a lot of systems they have um you know prompting and and
they have um you know prompting and and different chat functions and some people
different chat functions and some people are using chat JPTt or claw um and
are using chat JPTt or claw um and they're vibe coding things. Um in these
they're vibe coding things. Um in these sentences and these these scenarios
sentences and these these scenarios you're going to need some sort of system
you're going to need some sort of system that that double checks that vibecoded
that that double checks that vibecoded um automation
um automation or agent is actually functioning the way
or agent is actually functioning the way it should. I guess that that's that's
it should. I guess that that's that's one of the uh I guess strong cases for
one of the uh I guess strong cases for eval being in place before like Yeah.
eval being in place before like Yeah. Okay, makes sense.
Okay, makes sense. Um and what's a job inside supply chain
Um and what's a job inside supply chain logistics organizations that you think
logistics organizations that you think will look fundamentally different? Uh f
will look fundamentally different? Uh f I mean I'll use five years but maybe
I mean I'll use five years but maybe like a less time than that. Like what do
like a less time than that. Like what do you think that would be? H I like to
you think that would be? H I like to think um so there's a lot of like fear
think um so there's a lot of like fear mongering and and talk about those entry
mongering and and talk about those entry level jobs disappearing um and or or
level jobs disappearing um and or or they're there just being less of but I
they're there just being less of but I like to think that like the new hires
like to think that like the new hires and and people that are getting into
and and people that are getting into supply chain are really well equipped
supply chain are really well equipped with um with with the skills for AI and
with um with with the skills for AI and they're actually um a really evolved
they're actually um a really evolved sort of like junior planner or um some
sort of like junior planner or um some of those entry level roles, analyst
of those entry level roles, analyst roles, but they are actually using a lot
roles, but they are actually using a lot of AI just to become a lot more
of AI just to become a lot more functional, a lot more of a um of a
functional, a lot more of a um of a secret weapon in your organization. So
secret weapon in your organization. So instead of replacing these junior
instead of replacing these junior employees, we are uh using them to to
employees, we are uh using them to to the best of their ability. That's what I
the best of their ability. That's what I would like to see in five years. So the
would like to see in five years. So the the like the playing field is completely
the like the playing field is completely uh level between a jun like like a new
uh level between a jun like like a new entrant into the workforce using AI
entrant into the workforce using AI systems versus a more experienced person
systems versus a more experienced person already in the org.
already in the org. Um I mean there's there's probably going
Um I mean there's there's probably going to still be you know a little bit of
to still be you know a little bit of hierarchy and nuances in the roles. Um
hierarchy and nuances in the roles. Um but a lot of times some of the push back
but a lot of times some of the push back I get is uh those experienced folks
I get is uh those experienced folks they've been in in the in the role for
they've been in in the in the role for 20 30 years they've been working in
20 30 years they've been working in supply chain for for their entire career
supply chain for for their entire career they may be pushing back on on
they may be pushing back on on artificial intelligence. So how do you
artificial intelligence. So how do you then transform when you're t people are
then transform when you're t people are not adopting technology? Well, then that
not adopting technology? Well, then that can come from your from your junior
can come from your from your junior employees that have been brought up and
employees that have been brought up and are very much native to to using AI.
are very much native to to using AI. So, in in other words, like the
So, in in other words, like the investment in the new workforce helps
investment in the new workforce helps bridge the gap between like some
bridge the gap between like some hesitancy and rolling out AI native
hesitancy and rolling out AI native employees essentially.
employees essentially. Absolutely.
Absolutely. Got it. That's a it's an interesting um
Got it. That's a it's an interesting um I guess way to phrase it because uh
I guess way to phrase it because uh you've been in the technology space for
you've been in the technology space for enough time where the idea being AI
enough time where the idea being AI native seems strange because it's like
native seems strange because it's like 10 15 years ago it was not common place
10 15 years ago it was not common place by any means but today almost everyone
by any means but today almost everyone at least claims to be AI native because
at least claims to be AI native because it's like seems like table stakes to
it's like seems like table stakes to exist in the workforce. So um I find
exist in the workforce. So um I find that a really interesting positioning. I
that a really interesting positioning. I don't know how orgs are exactly going to
don't know how orgs are exactly going to figure that out. Well, I think like
figure that out. Well, I think like right now um we hear a lot about people
right now um we hear a lot about people saying they're AI native or there's a
saying they're AI native or there's a lot of because it's a huge topic right
lot of because it's a huge topic right now. It's the the number one topic of
now. It's the the number one topic of every conference, every podcast is AI.
every conference, every podcast is AI. Um but the actuality of the number of
Um but the actuality of the number of people using AI in their daily work is
people using AI in their daily work is very very few.
very very few. Right. Right. Because the work has not
Right. Right. Because the work has not fundamentally changed yet in in in so
fundamentally changed yet in in in so many cases.
many cases. Yeah. Yeah. and and for whatever
Yeah. Yeah. and and for whatever personal reason they they aren't leaning
personal reason they they aren't leaning into it and and that that's fine. Um but
into it and and that that's fine. Um but you know sometimes technology takes a
you know sometimes technology takes a while to to to move.
while to to to move. Totally makes sense. So working in again
Totally makes sense. So working in again different uh scales of organization
different uh scales of organization different sizes. There's a convergence
different sizes. There's a convergence now between like product marketing
now between like product marketing engineer converging into this one
engineer converging into this one superpower. Um what do what have you
superpower. Um what do what have you seen actually helps companies grow? Like
seen actually helps companies grow? Like if we're talking um from like the
if we're talking um from like the startup
startup from a startup yeah from a startup
from a startup yeah from a startup from a startup perspective. Okay.
from a startup perspective. Okay. Um well I mean things have evolved from
Um well I mean things have evolved from how we go to market inc incredibly like
how we go to market inc incredibly like I've been in business development since
I've been in business development since the start of my career. Like I I was the
the start of my career. Like I I was the person cold calling and I was the person
person cold calling and I was the person um getting setting up appointments for
um getting setting up appointments for for senior staff. And the difference
for senior staff. And the difference between what's happening now and then is
between what's happening now and then is is it's a completely different role.
is it's a completely different role. It's a completely different role for me
It's a completely different role for me than 3 years ago, 2 years ago. Um so not
than 3 years ago, 2 years ago. Um so not acknowledging that, not leaning into
acknowledging that, not leaning into that to try to differentiate and come up
that to try to differentiate and come up with new ways to get in front of your
with new ways to get in front of your your prospect is is um I think it's it's
your prospect is is um I think it's it's a mistake.
a mistake. So this is I guess back to the idea of
So this is I guess back to the idea of um iteration and adaptation like
um iteration and adaptation like continuously. Mhm. Absolutely.
continuously. Mhm. Absolutely. Absolutely. Like it it's there there are
Absolutely. Like it it's there there are a lot smarter people out there that are
a lot smarter people out there that are getting in front of customers. Um so we
getting in front of customers. Um so we we can't sit around and and do things
we can't sit around and and do things the way we did even a couple years ago
the way we did even a couple years ago in order to to get market share.
in order to to get market share. Got it. And where do founders um they
Got it. And where do founders um they tend to underestimate the go to market
tend to underestimate the go to market work when it comes to a new product, new
work when it comes to a new product, new service, new category? Um there's a few
service, new category? Um there's a few um well number one is just kind of
um well number one is just kind of looking into the mindset of a founder. I
looking into the mindset of a founder. I mean they are um they're right into
mean they are um they're right into their product. They you know that's
their product. They you know that's their their baby. That's that's their
their their baby. That's that's their their lifeblood. So going into go to
their lifeblood. So going into go to market is usually something that's kind
market is usually something that's kind of painful for them. They don't
of painful for them. They don't necessarily want to be spending their
necessarily want to be spending their time posting on LinkedIn, knocking on
time posting on LinkedIn, knocking on doors. Um which which I get it. They
doors. Um which which I get it. They might be product people. They might be
might be product people. They might be be engineers. Um so what they do often
be engineers. Um so what they do often underestimate is that the go to market
underestimate is that the go to market is um is you know can make or break the
is um is you know can make or break the company. Um it is very time consuming
company. Um it is very time consuming and it's not just a case of like showing
and it's not just a case of like showing up in in your prospect's inbox and
up in in your prospect's inbox and saying hey I'm going to change your life
saying hey I'm going to change your life if you just accept this 30 minute
if you just accept this 30 minute meeting. Um I think there there's a lot
meeting. Um I think there there's a lot of there's a lot of misunderstanding
of there's a lot of misunderstanding there that that you know our prospects
there that that you know our prospects are just sitting in their offices
are just sitting in their offices waiting for us to bless them with a
waiting for us to bless them with a meeting with ourselves
meeting with ourselves right so so like um the activation
right so so like um the activation energy of going into market is uh like I
energy of going into market is uh like I guess when you internalize your product
guess when you internalize your product your baby's beautiful then you'd say why
your baby's beautiful then you'd say why wouldn't everybody buy this beautiful
wouldn't everybody buy this beautiful thing and yeah okay that's a fair point
thing and yeah okay that's a fair point and do you find there's um this is like
and do you find there's um this is like a a common setup in startups you
a a common setup in startups you uh like there'll be a go to market sales
uh like there'll be a go to market sales product type CEO and then a very
product type CEO and then a very technical CTO but I've seen now there's
technical CTO but I've seen now there's many more CTOs that are the founder and
many more CTOs that are the founder and like they're moving forward into the
like they're moving forward into the market. How do you what's the first
market. How do you what's the first thing that those um that like profile
thing that those um that like profile could do to not hit the wall as soon as
could do to not hit the wall as soon as they start the go to market approach?
they start the go to market approach? Like what's one practical thing they
Like what's one practical thing they could do? Yeah, I I would I would agree.
could do? Yeah, I I would I would agree. The the CTO persona is is um very, you
The the CTO persona is is um very, you know, very prominent with with tech
know, very prominent with with tech startups these days. So, if they don't
startups these days. So, if they don't have that that co-CEO that that's doing
have that that co-CEO that that's doing go to market, then maybe that's a
go to market, then maybe that's a position you want to hire out um or at
position you want to hire out um or at least, you know, get somebody fractional
least, you know, get somebody fractional to support um reach out to to your
to support um reach out to to your network for for ways of of of doing
network for for ways of of of doing things. But, you know, we can't all be
things. But, you know, we can't all be good at everything. And and so if you're
good at everything. And and so if you're you're uh more of an engineer, um you
you're uh more of an engineer, um you you don't you don't want to be in the
you don't you don't want to be in the public space, you you don't want to be
public space, you you don't want to be reaching out to um prospects, then it
reaching out to um prospects, then it might be something that you you
might be something that you you outsource. Yeah, I think that's I think
outsource. Yeah, I think that's I think I think the thing that lures people in
I think the thing that lures people in is this idea that you can fully automate
is this idea that you can fully automate your go to market motion. But to your
your go to market motion. But to your point and and what you've done through
point and and what you've done through social selling like on LinkedIn, it it's
social selling like on LinkedIn, it it's clear that there still has to be someone
clear that there still has to be someone like behind all of that. Um so so
like behind all of that. Um so so building on that um I just want to talk
building on that um I just want to talk a little bit about the the work you've
a little bit about the the work you've done inside that realm of social
done inside that realm of social selling. Um that's okay. And uh one of
selling. Um that's okay. And uh one of them is that you generate like tons of
them is that you generate like tons of inbound meetings by by your content,
inbound meetings by by your content, your posting, sharing things publicly.
your posting, sharing things publicly. Um when did you realize that that
Um when did you realize that that investment was worth it on LinkedIn
investment was worth it on LinkedIn where it's an acquisition channel, not
where it's an acquisition channel, not just um personal branding space?
just um personal branding space? Well, when I I started my last role, um
Well, when I I started my last role, um you know, I was I was uh leading
you know, I was I was uh leading everything from the start of the funnel
everything from the start of the funnel to, you know, closing and um and
to, you know, closing and um and customer support and everything in
customer support and everything in between. But what I had no marketing
between. But what I had no marketing budget so I you know I could not compete
budget so I you know I could not compete against all of my competitors that had
against all of my competitors that had millions of dollars. I had you know
millions of dollars. I had you know maybe a couple hundred. Um so the only
maybe a couple hundred. Um so the only way to do that is to try and go viral.
way to do that is to try and go viral. Um get in front of as many people as
Um get in front of as many people as possible because knocking on doors and
possible because knocking on doors and reaching out to people on LinkedIn is
reaching out to people on LinkedIn is not is not scalable in a way that I
not is not scalable in a way that I needed it to be. I needed to create an
needed it to be. I needed to create an inbounds panel while I'm um meeting with
inbounds panel while I'm um meeting with customers, while I'm building marketing
customers, while I'm building marketing material and all of the other things I
material and all of the other things I would do in my day-to-day job. I need
would do in my day-to-day job. I need customers to come to me. Um so I, you
customers to come to me. Um so I, you know, I'm not naturally a a huge
know, I'm not naturally a a huge extrovert or like somebody who who loves
extrovert or like somebody who who loves social media. It's kind of my first time
social media. It's kind of my first time on social media. Uh but I was like,
on social media. Uh but I was like, "Hey, I I'm going to lean in and I'm
"Hey, I I'm going to lean in and I'm going to do it." and um and yeah, just
going to do it." and um and yeah, just so it just one day I started posting and
so it just one day I started posting and here we are.
here we are. Awesome. I I I think that leaning also
Awesome. I I I think that leaning also takes um a certain level of courage like
takes um a certain level of courage like like I've noticed a lot of people get
like I've noticed a lot of people get stuck in that idea like that's not for
stuck in that idea like that's not for me, I can't do it. What would you tell
me, I can't do it. What would you tell them to get out of that like mindset
them to get out of that like mindset where they're they're stuck and and
where they're they're stuck and and afraid to move forward?
afraid to move forward? Yeah, I mean I get it. I I you know I
Yeah, I mean I get it. I I you know I cringe at the things that I say online
cringe at the things that I say online just like probably a lot of people do um
just like probably a lot of people do um when they they see me posting and I was
when they they see me posting and I was just like you know what [ __ ] it I got to
just like you know what [ __ ] it I got to put bread on this table um and and this
put bread on this table um and and this is this is the way I'm going to do it.
is this is the way I'm going to do it. So, just kind of getting into a mindset
So, just kind of getting into a mindset of um I'm here to to get things done.
of um I'm here to to get things done. And then once you start get getting
And then once you start get getting things flowing and you have people
things flowing and you have people coming to you and and your your your
coming to you and and your your your posts are starting to get some traction,
posts are starting to get some traction, then a lot of that like that awkwardness
then a lot of that like that awkwardness goes away. Get
goes away. Get Yeah. I I I I really um that mindset
Yeah. I I I I really um that mindset resonates with me a lot. I think people
resonates with me a lot. I think people have this idealized uh way of winning in
have this idealized uh way of winning in their head, but winning actually looks
their head, but winning actually looks very different when you start to like
very different when you start to like move out into any game, whether it's in
move out into any game, whether it's in business, sports or or parts of your
business, sports or or parts of your life. So, I think that makes a lot of
life. So, I think that makes a lot of sense.
sense. Mhm. Yeah. Well, you know, it's it can
Mhm. Yeah. Well, you know, it's it can be embarrassing at first. Like you have
be embarrassing at first. Like you have people who are CEOs of a company and
people who are CEOs of a company and they get like two likes on a post and
they get like two likes on a post and you know, one of them is from his mom
you know, one of them is from his mom and so it's like it's it's it's awkward,
and so it's like it's it's it's awkward, but um we've been there and and um you
but um we've been there and and um you you just have to you have to play the
you just have to you have to play the game and if you have good things to say
game and if you have good things to say and good things to share, then then
and good things to share, then then it'll pick up. And and on that point
it'll pick up. And and on that point from the like making sure that your
from the like making sure that your likes don't just come from your mom. Um
likes don't just come from your mom. Um what's what's a post that like what's
what's what's a post that like what's the difference between generating
the difference between generating attention versus generating like real
attention versus generating like real pipeline and and prog progressing with
pipeline and and prog progressing with uh your lead lead channels?
uh your lead lead channels? So um you you want to come about your um
So um you you want to come about your um your position very strategically. So you
your position very strategically. So you do need posts that generate attention.
do need posts that generate attention. Um, so you need breath, you need top of
Um, so you need breath, you need top of funnel to to get your message and get
funnel to to get your message and get your your profile and and your writing
your your profile and and your writing out there. Um, but that there's a place
out there. Um, but that there's a place for that. And you know, you can use
for that. And you know, you can use things like humor, um, announcements,
things like humor, um, announcements, job postings, all of that stuff is very
job postings, all of that stuff is very top of funnel and it's not necessarily
top of funnel and it's not necessarily going to get you business, but it's
going to get you business, but it's going to get you reach, which eventually
going to get you reach, which eventually leads to business. Um and then once you
leads to business. Um and then once you have a little bit more reach and and you
have a little bit more reach and and you know maybe you have a viral post then
know maybe you have a viral post then the next couple days you can start
the next couple days you can start feeding in more uh more detailed bottom
feeding in more uh more detailed bottom offunnel type of posts that will like
offunnel type of posts that will like from that you know breadth of audience
from that you know breadth of audience that you've captured maybe one or two of
that you've captured maybe one or two of those people will be your um ideal
those people will be your um ideal client persona and then they are gonna
client persona and then they are gonna they're going to climb into yours. So,
they're going to climb into yours. So, it's it's about kind of like uh starting
it's it's about kind of like uh starting with maybe a place of genuine interest
with maybe a place of genuine interest about your your point of view in the
about your your point of view in the world and then as that builds up
world and then as that builds up actually going in and interacting with
actually going in and interacting with people, interacting with your post. Is
people, interacting with your post. Is that like a high level of that that
that like a high level of that that formula?
formula? Um you need to be doing all of those
Um you need to be doing all of those simultaneously and and throughout,
simultaneously and and throughout, right? like it's never um building some
right? like it's never um building some sort of um social um selling process is
sort of um social um selling process is not like a one two time kind of post.
not like a one two time kind of post. You have to keep showing up and so I mix
You have to keep showing up and so I mix up my materials in terms of top ofunnel
up my materials in terms of top ofunnel um midfunnel and bottom ofunnel and I I
um midfunnel and bottom ofunnel and I I do that regularly. But at the same time
do that regularly. But at the same time I'm also engaging with other people's
I'm also engaging with other people's posts. Um I'm you know trying to
posts. Um I'm you know trying to organically get people to my profile.
organically get people to my profile. I'm commenting and I'm kind of giving
I'm commenting and I'm kind of giving back um while I'm also posting at the
back um while I'm also posting at the same time.
same time. Got it. So, it's it's a it's a rigorous
Got it. So, it's it's a it's a rigorous discipline.
discipline. It it is. Yes. Right.
It it is. Yes. Right. Yeah. Yeah. And you can automate a lot
Yeah. Yeah. And you can automate a lot of that, but it still has to it still
of that, but it still has to it still has to be you. It still has to have a
has to be you. It still has to have a personality.
personality. So, that I guess that's like a case
So, that I guess that's like a case where you go from a writer to an editor
where you go from a writer to an editor like of a of a say if you're writing
like of a of a say if you're writing with an LLM like you would edit before
with an LLM like you would edit before it goes out.
it goes out. Oh, absolutely. Absolutely. Right. So,
Oh, absolutely. Absolutely. Right. So, what would you say to the founder that,
what would you say to the founder that, and I'm sure you've heard this and are
and I'm sure you've heard this and are hearing this with like like people you
hearing this with like like people you work with, they're saying, "I should
work with, they're saying, "I should definitely be posting on LinkedIn." Uh,
definitely be posting on LinkedIn." Uh, they do like, you know, a generic post
they do like, you know, a generic post and then they say, "Oh, like this sucks.
and then they say, "Oh, like this sucks. I'm not good at it. I'm done." What are
I'm not good at it. I'm done." What are they misunderstanding?
they misunderstanding? Um, yeah, that that happens a lot. Or
Um, yeah, that that happens a lot. Or even like even, you know, they get one
even like even, you know, they get one viral post and then the next six posts
viral post and then the next six posts kind of bomb and like, "Hey, the
kind of bomb and like, "Hey, the algorithm's broken. Nobody likes Um, I
algorithm's broken. Nobody likes Um, I would say, you know, go back to the
would say, you know, go back to the grassroots and think about your
grassroots and think about your strategy. Do you have um specific things
strategy. Do you have um specific things that you're talking about? Who are you
that you're talking about? Who are you talking talking to? What are your goals
talking talking to? What are your goals for each type of post? Um, and what are
for each type of post? Um, and what are you trying to achieve when you send your
you trying to achieve when you send your messages out to the world? So, kind of
messages out to the world? So, kind of coming into it with that strategy and
coming into it with that strategy and that way of thinking as opposed to just,
that way of thinking as opposed to just, you know, throwing up some thoughts of
you know, throwing up some thoughts of the day. um it is going to have that
the day. um it is going to have that better out outcome and then you're going
better out outcome and then you're going to see some of like the things that you
to see some of like the things that you actually are trying to achieve come
actually are trying to achieve come through but it's not instant
through but it's not instant right so there's a level of like
right so there's a level of like pre-work and structuring that people
pre-work and structuring that people should maybe invest in if they want to
should maybe invest in if they want to see that like come to be
see that like come to be yeah yeah they should I mean some some
yeah yeah they should I mean some some people kind of get it just organically
people kind of get it just organically but then they probably have a background
but then they probably have a background in in writing or copywriting or
in in writing or copywriting or marketing thing um that is just innate,
marketing thing um that is just innate, but say maybe a CTO that doesn't that
but say maybe a CTO that doesn't that you know isn't a natural writer, they're
you know isn't a natural writer, they're probably not going to um be able to to
probably not going to um be able to to produce something that will act that
produce something that will act that will go viral if that's the goal.
will go viral if that's the goal. Got it. And and thank you for that. I
Got it. And and thank you for that. I think that's actually uh very valuable
think that's actually uh very valuable um advice for people to implement into
um advice for people to implement into their own writing. Um moving into just a
their own writing. Um moving into just a little bit of like a rapid fire closing
little bit of like a rapid fire closing round for you. Um, what's something that
round for you. Um, what's something that you're learning about right now that has
you're learning about right now that has nothing to do with your day-to-day work?
nothing to do with your day-to-day work? I am, you know, I'm a big podcaster, so
I am, you know, I'm a big podcaster, so um, I listen to like a lot of like
um, I listen to like a lot of like science-based podcasts, um, and things
science-based podcasts, um, and things completely unrelated to technology. Um,
completely unrelated to technology. Um, I'm also, you know, at the moment doing
I'm also, you know, at the moment doing a renovation, so learning about how to
a renovation, so learning about how to build. Um, yeah.
build. Um, yeah. Nice. Yeah. I mean, that's pretty
Nice. Yeah. I mean, that's pretty engrossing like changing your physical
engrossing like changing your physical space. Absolutely. But it's rewarding
space. Absolutely. But it's rewarding because like so much in sales, you
because like so much in sales, you actually don't see the return on your
actually don't see the return on your work every single day, but when you're
work every single day, but when you're building something, you have like an
building something, you have like an instant change,
instant change, right? Yeah, that makes sense. I mean,
right? Yeah, that makes sense. I mean, it's a lot of the same work. You have to
it's a lot of the same work. You have to uh sell yourself on a on a design and
uh sell yourself on a on a design and then actually do the work of putting it
then actually do the work of putting it in and realize you might make a mistake
in and realize you might make a mistake along the way and have to maybe bring
along the way and have to maybe bring someone in to help you correct it.
someone in to help you correct it. Yeah. Not not get bored halfway through
Yeah. Not not get bored halfway through painting a wall and and give up. Yep.
painting a wall and and give up. Yep. Yeah, [laughter] that's true. That's
Yeah, [laughter] that's true. That's true. That's that is I mean, painting a
true. That's that is I mean, painting a wall is way harder than people think.
wall is way harder than people think. It is. It is. But it's it's so soothing
It is. It is. But it's it's so soothing to somebody who works on computers all
to somebody who works on computers all day to be able to to do something
day to be able to to do something visible and and manual, not being able
visible and and manual, not being able to pick up your phone for a few hours.
to pick up your phone for a few hours. Yeah. No, that's great. Um, and so my
Yeah. No, that's great. Um, and so my next question is, who is a like a
next question is, who is a like a business operator or a business leader
business operator or a business leader that you borrow from or find inspiration
that you borrow from or find inspiration from? I wouldn't say I have like one,
from? I wouldn't say I have like one, but um again I listen to like a lot of
but um again I listen to like a lot of different podcasts um on from different
different podcasts um on from different industries, whether it's like sales
industries, whether it's like sales entrepreneurs
entrepreneurs um or you know like the diary of a CEO
um or you know like the diary of a CEO guy. Um [clears throat] he he says some
guy. Um [clears throat] he he says some wise things every now and then that I
wise things every now and then that I that I pick up on.
that I pick up on. Nice. Yeah, I think there's a there's so
Nice. Yeah, I think there's a there's so much content out there. Um, and we're
much content out there. Um, and we're living in such a privileged time where
living in such a privileged time where after a certain amount of success,
after a certain amount of success, people give away all their secrets.
people give away all their secrets. Yeah. Yeah. Absolutely.
Yeah. Yeah. Absolutely. Yeah. Um, and the last question for you,
Yeah. Um, and the last question for you, uh, what do you do that helps you quiet
uh, what do you do that helps you quiet your mind?
your mind? Um, I read a lot of audio books. Um,
Um, I read a lot of audio books. Um, read. Are you reading audio books? You
read. Are you reading audio books? You listen, you're listening to audio books.
listen, you're listening to audio books. Um, and you know, some of them are
Um, and you know, some of them are completely vapid and and I just tune out
completely vapid and and I just tune out and listen.
and listen. Got it. Okay. So, that takes you to a
Got it. Okay. So, that takes you to a space where you can quiet out other
space where you can quiet out other thoughts. Okay. Yeah. I mean, uh,
thoughts. Okay. Yeah. I mean, uh, depending, I guess, on the voice of the
depending, I guess, on the voice of the person reading the audio books, some of
person reading the audio books, some of them can be very immersive, like you get
them can be very immersive, like you get totally lost in what they're saying.
totally lost in what they're saying. Absolutely. They Yeah. Yeah.
Absolutely. They Yeah. Yeah. Yeah. Okay. Great. Well, I really
Yeah. Okay. Great. Well, I really appreciate you joining me today,
appreciate you joining me today, Heather. This was really good. Um, I I
Heather. This was really good. Um, I I got some great insights and I appreciate
got some great insights and I appreciate your time today.
your time today. Thank you. Appreciate you having me. It
Thank you. Appreciate you having me. It was fun.
was fun. Behind the
Behind the [music] behind the door.
[music] behind the door. One move and the whole thing goes. Yeah.
One move and the whole thing goes. Yeah. We [music] build we build we build it
We [music] build we build we build it real behind the


