In this week’s episode, Cindy Moehring sits down with Ty Smith, a retired U.S. Navy SEAL, and founder and CEO of CommSafe AI, a tech company that disrupts emerging threats of unethical behavior 24/7 using AI. They discuss CommSafe’s involvement in workplace communications and the effect of culture on workplace safety. To finish out their discussion, Smith shares his insights on how he is a successful leader and CEO despite his lack of technology background.
Podcast
Resources From the Episode
- CommSafe AI Receives App Certification from ServiceNow
- Artificial Intelligence and Data Science by Bill Hanson
Episode Transcript
Cindy Moehring 0:03
Hi, everyone. I'm Cindy Moehring, the founder and Executive Chair of the Business
Integrity Leadership Initiative at the Sam M. Walton College of Business, and this
is TheBIS, The Business Integrity School podcast. Here we talk about applying ethics,
integrity and courageous leadership in business, education, and most importantly,
your life today. I've had nearly 30 years of real world experience as a senior executive.
So if you're looking for practical tips from a business pro who's been there, then
this is the podcast for you. Welcome. Let's get started.
Hi, everybody, and welcome back to another episode of TheBIS, the Business Integrity School. I'm Cindy Moehring, the founder and executive chair and I have with us today, an incredible human being. Let me introduce you to him, Ty Smith. Hi, Ty.
Ty Smith 0:55
Hi, thanks for having me.
Cindy Moehring 0:57
Absolutely. Let me tell you guys about his incredible background and what he's on
the verge of doing now, which is just fascinating. So Ty Smith is a very highly decorated
retired US Navy SEAL close to my heart, because I have two sons who are officers in
the Navy as well, right now. He had, though multiple deployments in the Middle East.
And after 20 years of service to our country, he founded and became an entrepreneur
by founding CommSafe AI. And that's a company, it's a tech company that specializes
in disrupting emerging threats of unethical behavior, conflict, violence, basically
24/7 by using AI. And they do that in a B2B model, so business to business, for some
very large enterprises. So in addition to that, Ty also serves on some boards, one
of them being University of Arizona Global Campus. Although Yes, I'm rooted here at
the University of Arkansas, Arizona, is still close to my heart, given my husband
and his family there. So Ty, welcome. It's so great to see you. And it's wonderful
to have you as a guest.
Ty Smith 2:05
Thank you so much for having me, I'm really excited to be here. I'm humbled that you
would have me on the show. And I just really appreciate the time that I have to communicate
with you. I'm looking forward to it.
Cindy Moehring 2:16
Well, so are we, this entire season is all about responsible and ethical use of technology
and AI in particular. And I think talking with you is going to be so instructive for
the audience, because you're actually on the cutting edge of building and deploying
products that do exactly that, use tech in a very responsible and ethical way that
can help companies actually improve their culture. So before we get too far into that,
though, Ty, I just have to ask if you might share a little bit about your personal
journey from a incredibly decorated career in the Navy, to now being an entrepreneur
after 20 years of military service. How did you come to that?
Ty Smith 3:01
Sure, I have to start by saying first and foremost, my career in the military was
an absolute dream. It was everything that I would dream, I dreamed it would be. I
wanted to be a Navy SEAL starting at the age of 12. And so when I graduated high school
at 18, I left home, East St. Louis, Illinois, with the clothes on my back and a dream
in my back pocket. And I had no idea that that dream would actually come true in the
fullest, you know, expression of the phrase. And so over a couple of decades of being
in the military during war time for that entire time, I learned a tremendous amount
about human beings, I learned a tremendous amount about grief, as you can imagine.
I learned a tremendous amount about emotional intelligence and empathy and what it
takes to be a leader, a real leader of other human beings, not just someone that's
in charge of people, okay, there's a difference but a real leader of human beings,
a fisherman of men and women, and that's who I am inherently, I like to help other
people grow. I like to know that I had a hand or a say in someone being successful,
and being able to look back and tell the story as to how they got from A to B and
why they're so happy to be there. And really, that is the talent that I took from
my military career into the private sectors, the military taught me how to be a strong
leader. The military taught me how to be a team builder how to build really high paced,
high functioning teams of high caliber human beings that come together and build amazing
things that no matter how awesome they are, individually, they could never do it on
their own.
Cindy Moehring 4:57
Right.
Ty Smith 4:57
And so when I was planning to To retire from the military in 2016. I was originally
going to go over to the FBI and I ultimately turned that role down. I was in graduate
school at the University of Southern California completing an MBA at Marshall Business
School, I did the the MBB program, the Master of Business for Veterans, which was
awesome in itself. But while I was there, we experienced the Inland Regional Center
shooting in San Bernardino. And that was, it was just it was catastrophic. You know,
14 people killed, I believe, another 22 injured. And after that happened, probably
a couple of weeks after, I started receiving calls from friends of mine in the medical
community, people that knew my wife And knew me through my wife And knew what my background
was. And all of these calls were very similar people saying, Ty, we're scared this
hospital or this clinic isn't providing us with any training. We don't know what to
do. If someone comes in here and tries to hurt us or the patient. You're literally
the only person that we know, that understands this kind of madness. Will you come
and talk to us about it? How do we stay safe? How do we protect our patients? What
should policy around these types of things look like? And after helping three or four
organizations, over a 30 day period of time, as you can imagine, I could hear my entrepreneurship
professors in the back of my head, talking to me. And so ultimately, I turned down
the role with the FBI. And I decided that this is a problem that I can help solve.
And I have access to a tremendous amount of really smart and experienced people that
I think can help me to solve this problem. And so that's what started me down that
entrepreneurial path.
Cindy Moehring 6:46
That is an incredible story. And I love it, because I think it shows that, you know,
you go where life's journey takes you, and where problems need to be solved, and you
think you've got the skills to do it. That's where people can really make a difference.
And a lot of students at the University of Arkansas in particular, have a strong entrepreneurial
spirit and focus as well and will love hearing your story. I mean, we've got, you
know, entrepreneurs here who started JB Hunt, and who started Tyson and Walmart. And
there's a real ecosystem now here that is focused on continuing that entrepreneurial
spirit with tech. So let's talk more specifically about CommSafe AI, and your company,
your product. And using tech, like we talked about in a responsible and ethical way,
training people how to look for things that could be dangerous, is what is all the
rage right now, because tech has become so predominant, that people are starting to
see from some pretty public stumbles, how it can be used in the wrong way. So tell
us a little bit about how CommSafe AI and the product you've developed, tell us about
it, and then how it kind of helps in that journey of using it responsibly and ethically.
Ty Smith 8:09
Sure. So CommSafe AI is an AI driven communication safety analysis software that alerts
organizational decision makers in near real time when there are instances of toxic
communication that are happening on the virtual communication services that the enterprise
is using. So company email, and chat services. So even if the company is using Slack
or Microsoft Teams for employees to communicate, our solution can integrate with it
via an open API. And 24/7, this solution works automatically and autonomously looking
for instances of toxic communication, toxic behavior instances like sexual harassment,
bullying, racial discrimination, even threats of self harm if an employee is having
mental health issues at at that time. And CommSafe, does this on its own 24/7. So
that it illuminates these hidden liabilities that that hide within the communication
services of the organization. It sends real time alerts to those decision makers more
than likely in HR and legal. And it lets them know, it's time to inject a human being
in this situation before it grows, you know, and that's really, really important to
us. And it's one of the reasons why we built this solution is because we found over
the last five, six years of really delving into the research around conflict and violence
in the workplace and why it's become such a massive problem that's costing US businesses
more than $528 billion every single year and that's just in the US alone and,
Cindy Moehring 9:49
Wait, wait, wait! 528 billion per year?
Ty Smith 9:54
Yes ma'am. In lost expenses and revenue, that adds up fast. Think about, think about
it. In the wake of a workplace assault, you have possible legal damages that you have
to be on the hook for, you have damages that are related to mental health, who witnessed
that person be assaulted, and how did it affect them? Do we also need to get counseling
for that person?
Cindy Moehring 10:19
Right, right.
Ty Smith 10:21
Who's suing us now with their damage to property, plant and equipment? I mean, gosh,
these numbers add up so fast. And these instances happen every single day. In fact,
according to SHRM, the Society for Human Resource Managers, one in seven employees
experience workplace violence, and the larger the organization, the higher the risk.
The more human beings we put in to an organization, the higher the risk, where CommSafe
really helps organizations to solve this problem is by illuminating those hidden liabilities.
For example, we look we look at a recent example, involving, and this is public information
now, look at the Las Vegas Raiders and the, the the situation around, you know, Coach
Jon Gruden, and why he was recently terminated from the organization. You know, he
allegedly sent racist emails that started 10 years ago,
Cindy Moehring 11:22
10 years!
Ty Smith 11:23
10 years ago! The original email was 10 years ago, and they're just now finding that
this behavior was taking place. So for 10 years, these liabilities were being hidden
throughout the organization. And they could have gone nuclear at any time, and they
just baked and baked and baked. And now it turned out to be this huge explosion of
information that damages the brand and reputation of the organization. And what does
that do, it damages the bottom line that the organization is paying so much attention
to. And so that's where a CommSafe AI comes into play. Because this solution again,
on its own without the need for human beings to sit and go, "I'm going to look for
keywords and phrases." We don't need to do that anymore. We have AI to do that for
us. And that's what CommSafe AI does 24/7. And one of the differentiators that we
built into this solution is that it can look backwards, it can look at data retroactively
towards an organization. Right, if an organization is concerned about did that person
really say that to that person eight months ago over email? The solution can look
backwards and tell the organization what instances of toxic communication took place
within that time?
Cindy Moehring 12:46
Yeah, yeah, that's, I mean, there's so many benefits to that. I mean, it's to your
point, it's real time. It uncovers problems early kind of helps companies like see
around the corner, so that they can maintain trust with their employees and with their
suppliers and with their customers. And, you know, potentially avoid like huge risks.
I mean, it's like finding and dealing with, you know, the pebble in your shoe before
you're not able to like walk anymore, right? I mean, everybody wants to find those
pebbles as soon as possible and get them out. I mean, you're talking about grains
of sand, basically. I mean, that. That is sounds like it could just be a real benefit.
Do you have any examples of let's say, during the pandemic, which we're obviously
still in at the moment, unfortunately, and it's been going on for I think, a lot longer
than any of us expected at the time. I would imagine there were also a fair amount
of violent threats during that time and people were sequestered in their in their
homes. And we know anger is building up. Do you have any examples of of pandemic era
CommSafe, CommSafe AI, you know, success stories or anything?
Ty Smith 13:55
Sure. So when we breach this particular topic, I think it's important that we actually
highlight what some of the evolving instances of production conflict that are results
of the pandemic. And we have to consider the fact that since the start of the pandemic,
we've seen a rise in gun sales in the United States like record breaking gun sales,
we've seen a rise in the sale of ghost gun parts, which means that there are individuals
out there piecemealing together firearms that are totally untraceable by the United
States government and law enforcement. And where that scares me is that my brain immediately
goes to the siege on our nation's capitol in December and it makes me wonder how many
of those individuals were carrying these unregistered firearms. We've also seen a
massive spike in child abuse, domestic violence, cyber stalking, fiber, sexual harassment,
homegrown terror, all of the above, not to mention the increased racial tension that
has grown in this country over the last couple of years, the increased political tension,
the tension between, you know, law enforcement in our minority communities. These
are all situations and conversations that are going to make their way back into the
workplace, whether organizational leadership acknowledges it or not, as we look forward
to reopening the workplace, we have to consider at least a possibility of some of
these threats accompanying our employees back into the workplace. For example, I've
had companies, big companies, I'm talking more than 100,000 employee companies reach
out to me personally, for my leadership guidance regarding, Ty, how do we even tackle
this conversation? You know, how do we even open this conversation amongst a diverse
group of employees so that we, because make no mistake, we have to have the conversation.
But how do we do it across a diverse group of people in a way that, you know, we understand
there's going to be conflict, but we want there to be growth on the other side of
that conflict. This has to be healthy conflict, because this is a really important
and realistic conversation. Because make no mistake, some of these students are going
to make their way back into the workplace. And one of the powerful results of having
the CommSafe AI solution is having access to data that allows you to know when and
where these conversations are taking place across the organization? How often are
these conversations taking place across the organization? Because one of the things
that we found is that often times, Cindy, workplace safety is directly impacted by
workplace culture.
Cindy Moehring 16:55
Yes, agreed.
Ty Smith 16:57
And a lot of times, the organization has a vision of what their culture should be.
And it isn't aligned with the actual culture of the organization, and leadership,
Cindy Moehring 17:13
And it takes too long to bubble up for,
Ty Smith 17:16
Exactly
Cindy Moehring 17:16
folks to find so, yeah.
Ty Smith 17:19
And by the time they do find it, then we're also dealing with cultures across the
organization. You know, this department thinks differently from this department. And
the beauty of CommSafe AI is, again, it gives leadership access to data that can inform
them of what's happening across my organization. How do employees feel? Is there anyone
that needs help, for God's sake? And that was one of the reasons why we built this
solution, keeping in mind the changes that we were seeing to the future of work, according
to the COVID 19 pandemic.
Cindy Moehring 17:52
Yeah. And it will help inform I would think companies as to, they know they need to
have these conversations, like you were saying. They're going to be difficult conversations,
people could get angry, but we want growth on the other side of it. Early indications
as to whether or not they're having positive results on the other side of it, or if
there are early warning signs, right, like you said, so, you know, and then being
able to kind of jump on that so important. So you know, Ty, AI, obviously, it's what
you use, it's what your product is built on. And it's often miss trusted. There's
been like we talked about at the beginning, a lot of examples of how AI has been misused
either, facial recognition and identification, does it recognize women and people
of color as well as white men, in the hiring process, and the promotion process, a
lot of AI tools have gotten it wrong. And they exacerbate that human bias as well,
potentially. Two things that I think are super important, that I've talked about with
some of my other guests is the understanding that the AI needs to be both explainable
and transparent, to help with adoption, essentially, get us past this point of mistrust.
Can you share with us how you think about those two concepts in relation to CommSafe
AI in your product?
Ty Smith 19:20
Yeah, that's a fascinating question. And I love it. So when I, I think it's really
important to start this answer by saying that I am not the smartest person in the
world. I get a lot of people that that, you know, go "Oh, my God, you're the CEO of
a tech company, and it's an AI company, you must be so smart." And it's like, let
me stop you right there. That's not the case. I'm just smart enough to know to surround
myself with really smart people and then I listen to them. So when I think about AI,
because I am not a technologist, again, I'm a leader of people. I think about it in
a very simple manner. And this is gonna sound funny. But I think about artificial,
artificial intelligence, the way I think about my dogs or any dog. In that, I hate
it when people discriminate against certain breeds of dogs, because they're completely
skipping past the fact that that animal was trained by a human being, or that animals
behavior is the result of learning from human beings. And so I look at AI the same
way. Without training data, we can't build artificial intelligence, so that AI is
learning whatever is being trained into that AI by technologists that are human beings.
And so when we consider explainability, I think that we have to keep it really, really
simple. Listen, we used X type of data, to train our algorithms to look for Y type
of behavior, this is where we got the data, these are the people that trained the
data, these are the people that cleaned it, tagged it, there's diversity across all
of those people, you don't have an individual that's actually training these algorithms,
no way, because there's too much room for bias. And in our organization, thankfully,
we are a diverse organization. And the style of leadership that I learned coming out
of 20 years in the military is that every person should have a voice. And so when
we train our algorithms, every person has a voice. It's not just our technologists,
that are tagging and structuring this data. It's the tech team, including our CTO,
including our principal data scientist, it's myself, bringing that military culture
and that that global leadership experience into training these algorithms, it's my
co founder, we have male employees, female employees, you know, white people, black
people, Asian people, Latino people that are all training this, you know, these models
in order to understand when some type of behavior or communication is toxic, and when
it's not. And that's really special for me, because, you know, I really get to sit
back and go, Wow, these models are learning from all of us. And I think that that's
really, really important. And so it's important to keep this simple. On the other
side of that, that transparency. Again, I look at it very simply, we have to be very
honest about what we are doing and how we are doing it. And organizations have to
be honest, as well with their employees. So we believe in being very public about
our stance on privacy, how we're storing data, how we're protecting our customers
data. And again, be very public about it, where people start to worry about, hey,
what are they doing is when they have no idea what you're doing, you know. So be public,
tell people what you're doing, again, how you're doing it, who's involved, and even
go so far as to, hey, your stance on privacy and security, consider putting it on
your website. Again, where people get worried is when they feel like you're hiding
something. So be, you know, lean more toward transparency and honesty in order to
avoid that. And that's again, because I'm not the smartest person in a room, I think
about these things in a very linear fashion. And that's how we're building this company.
Cindy Moehring 19:21
Yeah, and I would imagine for a product like yours, making sure you have diversity
of thought, in terms of building it so that it can identify places of workplace potential
violence or security or or culture, that's got to be almost, you know, like mission
critical. Number one, you know, right at the top. So,
Ty Smith 23:52
Yes ma'am. And that's why my team, every person has a voice. And our algorithms are
learning from every one of those voices, it's very important.
Cindy Moehring 24:02
Yeah. Well, so a couple of the things you said that I think are really important for
the audience to understand. AI is a tool, and it learns from the data, right, that
is said by humans. And, and so it all really does start with the data and where the
data comes from. But as it evolves so quickly, right now, there have been some predictions
by you know, some of the big consulting companies about what are some of the, you
know, big things that are going to happen in this tech space in 2022. And one of those
predictions by PwC was that we were going to be seeing companies, we're going to be
seeing a convergence of three things that I think sometimes people think about separately
and stovepipes, convergence of data, with AI, and in the cloud, which if you don't
understand each of those really well on their own. The convergence of it, I think
might just really cause some people to say "No way not ready for that can't get there,
you know, uh uh." But it seems to me that CommSafe AI is almost already there, right?
I mean, you're using data, you're using the AI and I know you have the cloud based
technology. Ty, do you think that part of the issue with mistrust of data being used
to train AI and it being in the cloud has to do with like some business people just
not understanding it? And so as opposed to embracing the unknown, there's this human
factor of just shutting down? What are your thoughts on that kind of from a leadership
perspective? And how do you get over it?
Ty Smith 25:41
No, I think that that has a lot to do with it. Human beings, we don't like change.
I know, I don't like change, I'll admit it. It's uncomfortable, you know, because
it's going into the unknown. And all we can do is cross our fingers and hope that
we've done enough to experience growth on the other side of that change, right? But
when you combine that with the fact that enterprise leaders have a tremendous amount
of responsibility to their stakeholders, and we're talking about bleeding edge technology,
technology is just advancing so fast these days, so cool, to sit back and see it.
But these business leaders, you know, they're focused on things that they should be
focused on. For example, if we're talking about the CEO of a 30,000 employee company,
that person's responsibilities, are vision and strategy, fundraising and selling,
hiring a good team. Not understanding artificial intelligence, and how it's going
to affect the organization. They bring in people to help do that for them. So those
leaders are more concerned with how do I protect the stakeholders of my business.
And when you talk about injecting, bleeding edge technology that those organizational
leaders don't understand, of course, they're going to be hesitant to actually, you
know, incorporate that type of technology, because they're not sure of the outcome,
they're interested and intrigued because they understand that this could actually
increase my bottom line, this could help me to run my business better. But if they
don't know how, and if they, they don't understand how to put that ROI on paper. So
that it can be a discussion, it makes me very hesitant to do that. So I think it's
really important that organizational leaders, be open to the idea of bringing in,
you know, consultants, advisors that are technologists to have this conversation with
your leadership about this is what we're seeing on the horizon. This is where technology
is going. This is where artificial intelligence is going. This is how we think it
can help businesses as a whole, this is how we think it could help businesses in your
particular space. And now let's delve into your business and how we can how we think
it can help your business. And then also, businesses shouldn't be afraid to bring
in people like AI Ephesus. I know, that's what we're doing. Because even though we
have diversity across how we're training our models, and across our staff, again,
I come from a community where two is one and one is none. And I rather have and that
need that need and not have. So although we have diversity going into training our
algorithms, hey, who's double checking us? And I don't have enough pride to where
I'm going to say we don't need that double check. So organizations should also consider
bringing in people like AI Ephesus, that can help to educate them on whether you like
it or not, ultimately, AI is going to be in your business. And this is how it's going
to affect your business. And it's how you protect the business as it advances.
Cindy Moehring 29:00
Right. So so let's ask the right questions. Let's you know, make sure that we have
the right people around the table to answer it, I mean, Salesforce is a perfect example
of a company that's hired, you know, it has a whole organization that's focused on
tech ethics, and you know, the ethical use of AI. And I completely agree with you,
it has to do with asking the right questions, getting the right people around the
table, the governance setup for it, and, you know, testing the models, checking the
models, and then and then accepting that the long term future is going to be a little
scary, and you got to get comfortable being uncomfortable. But that shouldn't prevent
you from going, going there right then hiring the right kind of people.
Ty Smith 29:40
Right. And since you mentioned Salesforce, I'd be remiss if I didn't mention our partner
ServiceNow. So we actually recently integrated this solution across the entire ServiceNow
platform.
Cindy Moehring 29:54
Oh, that's amazing.
Ty Smith 29:55
We've already received the the certification the Compliance Certification back from
ServiceNow so our solution is going to be live in the ServiceNow store over the next
several weeks. And we're really, really excited to have a go-to-market partner like
ServiceNow.
Cindy Moehring 30:10
That is amazing. Congratulations on that.
Ty Smith 30:14
Thank you.
Cindy Moehring 30:14
I'm excited to hear about that partnership. That is that's wonderful.
Ty Smith 30:18
Really appreciate it.
Cindy Moehring 30:19
You bet. Well Ty this has been a great conversation. In part, I think what's interesting
is one of the points you made is you're not a technologist, right? You're a leader
of people, but yet you're leading a tech company. I hope that that actually encourages
others out there who are listening to this to understand that they too, can do the
same thing. And that it this this effort that we have to use tech responsibly and
ethically. And to have it advance our world isn't up just to the software engineers,
and isn't just up to the data scientists, it really takes all facets of personnel
to do that, including those in leadership positions who aren't necessarily technologists.
Ty Smith 31:02
Yes, ma'am.
Cindy Moehring 31:03
So with that, let me ask you, where do you, I always like to leave the audience with
some additional resources, where they can go to dig a little deeper into a topic.
So do you have any good recommendations of places you go? Either books or podcast
series, or, I don't know, what good documentary maybe you've seen?
Ty Smith 31:23
Sure. So I want to start by saying, I've learned since transitioning out of a two
decade career in the military that first and foremost, there is is nothing wrong with
admitting what you don't know and asking for help. And that is literally all I do
on a daily basis at this point in my entrepreneurial journey, is asking people for
help. I talked to people like you. And I go, "Hey, Cindy, I have no idea what I'm
talking about right here, will you lend me your perspective, so that I have more information
to make, to base my decisions off of." And so I talked to mentors, other tech, I talked
to other business leaders, I talked to very high level technologist, CTOs, chief data
scientists all the time. Just to get their perspective. I literally talked to three
of them yesterday, just to get their perspective to help me make decisions because
I'm not a technologist. And so I think it's really important that, that that I say
that especially considering the audience and some of those students at the University
of Arkansas, Arkansas that are considering going into entrepreneurship. Just because
you're the CEO of the company doesn't mean you have to know everything. I will readily
admit that I don't know anything, but I'm surrounded by people that know a whole lot.
And I just go to them and ask for help. And they help me make decisions. And then
the other side of that is I read voraciously. I read as much as I possibly can as
much as my, my time and my wife, my two year old, allow me.
Cindy Moehring 33:01
You're busy.
Ty Smith 33:03
Yeah, I'm pretty busy. And I actually read a book over the last month that was super
fascinating. And it's called Artificial Intelligence and Data Science, by Bill Hanson.
H-a-n-s-o-n.
Cindy Moehring 33:17
Okay.
Ty Smith 33:18
It's a, it's a big read. But if you're interested in understanding AI, if you're interested
in understanding how data science feeds into the creation of artificial intelligence,
and delving into that conversation around, you know, potential biases in artificial
intelligence. It's a great read.
Cindy Moehring 33:41
That's a great recommendation, Artificial Intelligence and Data Science Bill Hanson,
we'll put that in the show notes and make sure everybody has access to that. This
has been fabulous. Ty, thank you very, very much for your time, sharing a little bit
about your journey, and how you are applying your expertise to solve a problem that
definitely needs to be solved. So thank you. Appreciate it very much.
Ty Smith 34:06
Thank you. I really, really appreciate it.
Cindy Moehring 34:09
All right, bye bye.
Ty Smith 34:10
Bye.
Cindy Moehring 34:16
Thanks for listening to today's episode of TheBIS, The Business Integrity School.
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