Seagate's 2-Star General Turned CHRO: 7,000 Employees AI-Trained, No AI Agents on Org Charts
45m 16s
Patricia Frost, EVP and Chief People and Places Officer at Seagate, draws on her 32-year military career in intelligence and cyber operations to underscore the centrality of people in leadership and organizational success. She highlights that cyber threats are no longer hypothetical—they are inevitable and require proactive, structured responses grounded in leadership visibility, clear roles for the CISO, and collaboration with public and private sectors. At Seagate, AI is being strategically integrated to augment human performance, not replace it. A comprehensive employee training initiative has reached 7,000 professionals, led by 400 AI champions who drive workflow innovation and human-centered redesigns. A key principle is that AI agents are not placed on org charts, as they lack human accountability and emotional intelligence, preserving the value of frontline workers and managerial roles. The company is also building a living job architecture that maps roles, skills, and competencies across 30,000 positions, using global data to assess automation potential and support career development. This system enables managers to have richer, data-driven conversations with employees and fosters transparency in performance and growth. Ultimately, Frost believes AI is a tool for human amplification—enhancing capabilities while maintaining cultural integrity, employee engagement, and the irreplaceable value of human judgment, connection, and leadership.
Hello everyone, welcome to today's episode of Future Ready Leadership.
My guest today is Patricia Frost.
She's the EVP and Chief People and Places Officer at Seagate Technology.
Before we jump in, of course, I want to quickly mention the CHRO group.
So if you're listening and watching your Chief HR or Chief People Officer,
you can learn more about it by going to FutureOfWorkLeaders.com.
I think we now have just over 40 CHROs.
And our next in-person event will be January 13th and 14th in the Bay Area.
So again, you can learn more at FutureOfWorkLeaders.com.
Patricia, thank you so much for joining me today.
Thank you for having me. It's wonderful. It's a great day.
Yeah, before we get into any of the fun stuff,
I wanted to get a little bit of just background information about you
because I was reading that you were a two-star major general in the US Army.
And so, first, of course, thank you so much for your service.
But I'm curious to get your story there.
How did you get involved? What were you doing?
I know you served, I believe, with your husband as well, if I read correctly.
Yes, yes. So we were doing military family.
I have a daughter that just this past weekend reported to Fort Leonard Wood, Missouri
for combat engineers as a Second Lieutenant.
So very, very proud, proudest moment as a mom.
And yes, so five generations of service in my family.
So including my brother and my cousins.
And if you weren't in the military, you were actually either a nurse or an educator.
My mother was a school teacher and all my aunts were nurses.
So just probably just a lineage of service is how I grew up.
And, you know, moving all the time, which really brought me to wanting to serve as well.
Yeah.
So I just kind of follow, are you saying I followed in my dad's footsteps?
But, you know, being the first female of the family to join and now my daughter is the second.
So it's just exciting.
And I would not change 32 years of just the most incredible profession anyone could ever have.
And it centers on people, especially the US Army.
You know, we have platforms, but not platforms like Navy and Air Force, which is very platform centric.
And the army, it's about people and ground troops on the battlefield.
How do you motivate influence work with allies and partners?
So I think that really shaped also how I look at leadership and how do you deliver the results and the outcomes.
And you're really asking, regardless of any service that you're in, you're asking our men and women to do the most challenging mission.
And to serve their nation.
And that's any nation too, because I'm proud of so many of the countries that I was able to serve with and serve alongside.
And I think that just really shaped me for now, this second chapter at sea gate, being able to be part of people in places.
And really ground it again around people, which I think I'm just so fortunate and this disruptive era of technology.
That it still centers me on people at the center of everything that we do.
And the technology is augmenting our capabilities and that's really going to drive our success in this new environment, which I think is different than anything we've ever experienced.
I couldn't agree with you more. What exactly did you do when you were an army?
So I started as an intelligence officer and then in my last about five years, I moved into cyber.
So cyber security and cyber defense offensive operations.
And so again, I go in this has shaped how I operate at sea gate to is you just can't look at the title of someone.
You could look at my title as a military intelligence officer, but within that, I was able to do signals intelligence.
I was able to work with imagery intelligence, all source intelligence.
And then as cyber became a field, then move into the cyber part of our military service.
So again, I always think about you have your skills, but do you really unpack the title and look at the capabilities of a person in the potential of that person?
And I think the military does that so well and always pushing every officer soldier and then giving us different resources and skills to find other opportunities within the military.
Yeah, the cyber space is so fascinating. I mean, that's where, you know, so many organizations around the world are concerned about cyber security threats.
That's where a lot of people argue that if there's going to be a God forbid a future world war, it's going to be fought cyber, it's going to be digitally, it's going to be AI versus AI.
So it's a fascinating space, especially when you keep hearing about all the different things that are coming out with the capability of these AI tools.
So it's obviously I'm not going to ask you.
That's the whole other episode. It's what's your playbook. Do you know what your center, we call it center of gravity in the military, but what's your Holy Grail and how do you do that ring defense and that defense and depth strategy.
I mean, just the analysis that you have to do about looking at those cyber threats. It's not, it's not if it will happen. It's when it will happen. We will all experience it. Every company will have some type of cyber event that they're dealing with, but I think us even just as, you know, in our personal lives can be disrupted.
So it's the world we live in. Everything is digital. So it's a different threat landscape now. And I think everyone has to pay attention to it.
Yeah, oh, yeah, absolutely. When you think of a kind of organizational preparedness now.
How do you think most organizations are viewing cyber? Do you think a lot of them are prepared? Are they thinking through this? Do they have plans and capabilities in place?
Or do you find the most organizations are just kind of operating as if, you know, it's still five or 10 years ago and they're just kind of floating around, you know, hoping nothing that's going to happen.
You always probably hate this answer. I think it depends. Like if you're in the financial institutions, you definitely pay attention to it.
You're in our type of work or we have to make sure everyone's data is stored and stored securely. It's definitely top of mind. I do think a lot of companies don't understand the landscape and probably don't spend enough time.
I always say you can, you will know it's where does the CSO sit within the org structure.
And what type of voice does the CSO have at the table? And if they don't have a voice, if they're not presenting to the board of directors and then shame on the board for not asking the question, but, you know, looking at those practices will tell you the priority that the company puts on cyber security.
Okay. And before we jump into some of the stuff you're doing internally in AI, if you were to give people kind of like a simple framework or guidance for cyber. So when a lot of people are meeting with their leadership team with their executive team, are there maybe like three to five buckets of conversations that they need to be having.
It sounds like one of them you mentioned was around the CSO and where they sit, you mentioned something like the Holy Grail, like can you unpack maybe just a few three to five of those frameworks just so people can have a sense of what conversations they should be having.
Right. I think again, I haven't been operating in this space truly because I've been more focused on people, but I think it's just tried and true.
First, where does the CSO sit? How are they resourced? What is their background? Can they deliver? Right. Because that person and their team matters. I think the company has to make decisions of what are they in source and what are they outsource.
It is really hard to keep up with this landscape. We have incredible companies out there that provide a service for companies like Bandian and others that you can lean on.
So understand what you're going to spend your resources on on in sourcing and outsourcing and can your employees keep up with the changing landscape.
What are you doing with their education? They're training. It's a tremendous amount of resources to stay current on what's happening to the cyber threat.
Where are you working with, and I always say the public and private partnership of working with, especially a government, whether you're US government or other governments, depending on where your company sits, to understand what is the threats because certain industries are national assets.
There's a lot in that share of relationships, so understanding the type of company you are, the relationships you need to have between the public and private. And then I would say it's literally just what we would call is intelligence preparation of your environment.
Do the analysis of your IT and for us, we have our IT network, our information technology network, but then we also have an operational technology network, which is our manufacturing.
So you really have to have a good understanding of where those networks cross each other.
What is at risk, because in most companies, if they've been around, like it's been around for 50 years, a lot of our operational technology and that type of equipment is old, are detached.
So how do you ring fence that technology? So again, doing that analysis and really understanding what is most important to keep the company viable.
And then how do you defend it and what are the resources you put against it? So laying out that environment and understanding it and really understand how does data flow, right?
Because
data flowing from the factory or what could stop production and how does that go
into the corporate network. You just really have to buy the type of company or
how do you look at your flow of data and technology and how does your company.
Did you follow the recent Binance hack? Did you hear about that? I did. I did. I'm
not going to comment on it but yeah. There's like take all these use cases and
say how does that fit? You could take the most recent cyber incidents and say well
how would I respond? We do this every year in our enterprise crisis team
management of taking certain use cases that we've read about and say how would
see get respond? How would that impact us? What does that mean to us?
It's a crazy story. For people who are not familiar with it, basically what
happened is these supposed North Korean agents posed as recruiters from
a legitimate recruiting website and they did an interview with an engineer inside
of Binance and they showed them social proof, they showed them social media
accounts showing that they're kind of like real people and they're legitimate
and then for the second round of interviews they basically told this
engineered Binance hey we have kind of like a case study or an assignment we need
you to do and to do that download this file and he downloaded on his work
computer they hijacked some of the AI tools at Binance it spread into other
computers and next thing you know six point three billion dollars are gone and so
that to me the irony there is that there's so much talk about AI capabilities
and AI versus AI but it seems to me like a big weak link going forward is just
going to be employees. Oh there will be the weakest link yeah always the weakest
link and that has not changed and so how do you train your employees and then
understand mistakes will happen but again once that happens you know just any
type of fishing how do you then react to it how does your system react to it but
employees have to know that they can report things and there's not going to be
a backlash against them too right. Again mistakes are going to happen for us
even just on the recruiting side when I look at some of these recruiting hacks
you know our final step of the onboarding is in person like that person
physically has to come we don't do as much remote hiring as probably some
companies do but that final step make them come into the office. I heard that I
can't remember if it was Gartner or PWC they came out and they said by
2028 I believe they estimate that I think it was one out of every five
applicants that an organization is going to get is going to be fake and so you
get I have seen that report I have to go look that one up. Yeah I think it was
either Gartner or PWC I have to I'll see if I can find that one while we're
speaking but yeah I mean people can engineer fake resumes you can create fake
avatars you can have bots a friend of mine was telling me that he's using an AI
tool that just applies for a ton of jobs for him every single day and that's
what we're seeing so what's happening to our recruiters is they're getting
inundated and so one candidate can actually apply to a job but several times
by just changing their resume so they're using different keywords that they're
bringing to the top of their resume so it's still the same person they've just
let the AI modify their resume that they think will keep bringing their resume to
the top so we have to use AI to help triage the resumes that are coming in but
unlike some companies we have kept the human recruiter and kept a very robust
talent acquisition team because we need that checks and balances when we start
to get into the next phase it has to be the human in the loop it has to be the
human interviewer because culture fit is so important as well like it can't
just be skills fit yeah I'm a huge fan of that I mean I I even kind of my daily
podcast episodes that I do where I break down the top news stories I always say
that organizations need to do a better job of figuring out which areas should
stay human and which ones should go to AI and the areas like recruiting and
interviewing performance reviews like that stuff needs to be human for exactly
this reason because otherwise you know you're not you're not really figuring
out who's actually a good fit for your company or not but I mean I when
Jenny I first hit you know two years ago you had a lot of folks talking about
well HR is gonna go away yeah HR they HR field is is going to pretty much be
upended and I'm thinking like do you not work in a company with humans because
humans are really messy people humans are really complicated you obviously don't
know what the average HR business partner does from a day into day I day out
basis right and the things that they work on and I and I think yes Jenny I can
help us in some of the tactical workflows and some of those mundane tasks but
it then allows to elevate us to the things that matter the human human
connection where do we want to focus our managers in the future I just think
this is just a different way of us I just say technology just augments people
and we're still at the center of everything we do and that's gonna have to stay
important if you value the culture of your company going forward that's gonna
be one of our one of our January sessions is gonna be from the CHR of one of
these big big firms and it's gonna be around that exact theme are we gonna
need HR in the next five years or what is HR gonna look like in the coming
years surprising me when when I talked to the teachers that are part of our
group this is a big conversation that comes up they're trying to figure out
well you know what how is HR gonna shift are we gonna even have HR what does
all this look like so these are all I think very big and important questions for
people to be thinking about I think you have to put the technology in the hands
of the managers and we need to do a better job of giving them tools to how do
they do career mapping for employees learning and development for employees but
at the end of the day some of the programs that we deliver like one of our best
programs that we have at C.G. right now is called leadership velocity program
and we take 35 of our employees every year it's a year long kind of immersion
program and we take them and we take them to all of our key manufacturing sites
and they get to so this is middle management middle professionals this is
below for most part below the director level but we see these as high
potential talent and we take them to these environments we just did the
first cohort for this year again we took them to Singapore to our
manufacturing site there and half the EVPs came in and spoke to them so it's
they sign in DAs we kind of be very transparent with them but the key of that
program is that's human deliver that's an it's an HR program but it's truly a
business sponsored program and how can we speed up their business acumen their
efficiency of really understanding because as a manufacturing company like
C.G.A. it is we do a vertical line manufacturing so we're very vertically
siloed and what we're trying to do is open the aperture for them to see all the
opportunities of where their skillsets especially our engineers that they can
be applied in many different departments across the company but because of
where they sit and where they work and many of them are heads down working very
hard because the demand is high we need them to stop a minute pick their heads
up and go okay these are opportunities I never thought would be available to
me and so very excited like I think we can spend more time on programs that have
impact and it goes to what are the experiences we want our employees to have
I'm I just focus on employee experience and HR owns that we we're the ones that
have to make sure we're curating and caring for employee experience going
forward and I believe employee experience you get it right increases engagement
which equals productivity yeah so me centers on the experience side and that's
something HR needs to lead which is why for AI the rollout of AI at C.G.A. I told
my team we have to be front and center on this what is the experience we want
our employees to have as we roll out AI tools that means democratization of
the tools everyone gets access to the tools that we have available everyone gets
access to the training and the resources we equip them so they don't feel
they're losing their job they get to redefine their job from the ground up
what how does your job look different while you're now being augmented with AI
so very individually focused first and now we're moving them this year into
team and function so what workflows change because that's where you get to the
true efficiency yes you can gain your own individual efficiencies but the
business value comes when you really start to look at those larger workflows so
what how does that change and then it frees up your capacity and if you had more
capacity in your day where would you go spend that time now have that
conversation with your manager yeah so is this a series of workshops that you're
doing because I like the approach I think it makes sense but how do you
actually teach that as far as workflows you know you mentioned engagement for
example I think Gallup came out recently said that in the United States where
to for the last two decades or something like that we're at the low
the point we've been in terms of annual employee engagement across the board. I don't put a ton of
stake in those numbers to be honest, but it still kind of correlates with what you're saying.
But I'm just curious about this program to teach employees how to redesign their roles,
rethink through workflows. Can you share a little bit more about that?
Sure. So when we started two years ago, I recognized that, again, not based on an employee's title,
that we probably had early adopters that were so far ahead, as we were learning that all the
Gen AI tools that they were already there. They were doing it on their personal laptops. They were
at home in their home network. I mean, we have really an employees. So we said, we need business
leads for every function. So we have about 35 business leads across the company. And then we said,
"Okay, who wants to raise our hand to be an AI champion?" So we have over 400 volunteer AI
champions that helped us design training. And everyone's gone through the training. We have over
7,000 of our professional employees that have gone through AI training, which is incredible.
7,000 that have completed it, completed all of our AI training.
And you have 30,000 total, right?
30,000 total, 8,000 professionals. So 22,000 is frontline. So of the 8,000 professionals,
that was where we were focusing the Gen AI tools. So of that, but we started with
business leaders who really understood this AI changing environment that could speak for their
function, understand workflows in their function, and then who are the early adopters that want
to raise their hand, because this is on top of your day job, do the AI training, become an advocate
for AI within your function, and be one step ahead of the rest of the company.
And they created these Fridays. We kind of called it no staff meeting Fridays of Fridays. You
get to do focus on training. We did AI and coffee sinks. You know, come talk about the best prompt.
Remember when AI first came out, the prompt had to be written very specifically to get the type
of result you want. Now it doesn't matter. Now you can basically put anything in there and
something will come out. Maybe not exactly the result you want, but you'll get an outcome.
So, you know, things have progressed. So now those 400 really become that force multiplier within
the company. And they are helping us now look at workflows. But now I've got 7,000 people who
have a foundational understanding of how to use the tools. So then it's just these building blocks,
right? How do you get to the business value? So now we're putting them through workflow
innovation training. What does it mean to automate your workflow? And more importantly,
where is the human and the human decision maker in the loop of them? Interesting.
What does that workflow training look like? Are you getting these 400 AI champions? Are they
kind of sitting side by side with employees and saying, okay, show me how you work during the day?
What do you do? Kind of mapping that and then saying, okay, well, here's how you can use AI.
Like, how do you do that? So you start with something really simple. So I went through the workflow
training. I've tried to practice when I preach and make go through every training and tell anyone
else to go through. And so the workflow training starts with you as an individual and it walks you
through a workshop. You just do it online. It's just you and your laptop. And so it was Patricia,
what's your biggest pain point? Like, where do I spend a lot of time that probably could be automated?
So mine is a, you know, bi-monthly update that I send to the senior leadership team. And I get
all this input from across people in places. How do I make that more of an executive level product?
So it walked me through walk through the steps of how that gets built today. Very manual process,
a lot of cut and paste. And so it walked me through how AI would augment that. Where would the
edit and review process be? Because I don't want it to just create something and then send it.
I need to edit it. And I need to be the author of it, right? So that's just one small one. But it just,
it starts there with what are your employee friction points? And then I can sit with some of my AI
champions and say, well, at my level, this is where I see workflow issues. And how do we augment that?
Some of it may be so complicated, because it's cross-functional. How HR data moves to finance
or to another part of the business that I might need IT AI support. So it just depends.
Okay, so it's a self-directed kind of interface that people go through and ask you a series of
questions then kind of guides you through it. Yes. And then we did top down. So in May at our
senior leadership team meeting, which is SVP, senior vice presidents and above, our CEO said,
give me an enterprise strategic workflow that you want automated. So we all by function
presented kind of our enterprise pain points. And so it was like, well, then how do we prioritize
those at the C suite level? Because there's only so many, you know, resources.
So how do we look at that? And so we did that. And now we have a roadmap of enterprise workflows
that we want to get done over the next year. So again, I think it has to be top down. Is it a
priority for the leadership at the top and bottom up driven? And then people aren't so intimidated
that this is coming after my job. And I can tell everyone redefine your role.
Yeah, the redefining the role, I think, is kind of a big wake up call for a lot of people.
Yeah, because I feel like when it comes to AI, a lot of employees are obsessed with how do I
become more productive? But there's not a lot of conversations around how do I actually redesign
that role in general? Are you also looking at the role that the AI and the agentic tools are
going to play when it comes to org structure, when it comes to leadership or pay,
you have employees who are going to come to you and say, "Hey Patricia, I manage 10 AI
agents there for I'm a manager. I should be called a manager and paid like a manager."
Yes, we are not there yet. And I will tell you, we also will not put AI agents on an org chart.
Interesting. Tell me more about that.
The CEO and I have had this discussion because I think when I look at the complexity of building
a hard disk drive and the complexity of our business, AI cannot build a hard disk drive.
So do I want to demean an engineer showing, "Well, here's the engineer and here's the AI agent
that's of equal importance to that human?" I don't believe the agents are there yet.
And I'm not putting them on an org chart. And so that's not what you're going to see at Seagate.
Now, we have an agent management system that is a different system where we have owners of agents
because you want to make sure is that agent even still valid, you know, doesn't need to be deleted,
you know, who's making sure that agent is still operating within its guard rails that it's
supposed to. So that is managed by IT to say the purpose and owner of that agent. And then
that will have checks and balances throughout the year, right? But we will not show them on an
org chart whether or not someone should be a manager, per se. Right now, my answer is no.
Because you don't deal with the same complexities that a manager who has to manage a team. And remember,
you know, we're a manufacturing company with a lot of frontline workers. And those frontline
workers are extremely important and I'm not going to take any of that value away of what they deliver.
Yeah, it's an interesting take because I know there are some companies that are trying to figure out
how do we put agents on the org chart. And I think it was Microsoft even was it earlier this year
where they said, "Oh yeah, I think of these agents as your co-workers and we encourage you to name
them." And you know, even I heard that I'm like, "Wait a minute. I don't name my RoboVac or my
pool cleaner. I'm not going to start talking to these agents and say, "Hey, John, can you please get
this document over to me?" I mean, these tools are very powerful. Like, I used Mews over the past
few days and I built a whole new website for our CHRO group. But I knew I was engaging with a tool.
I didn't say like, "Hey, Charles, good morning. Can you please. " None of that. It's like, "Okay,
here's what I need." I'm like, "Go." How you manage agents is not how you manage humans.
Yeah, so organizations that are kind of enter purmorphizing and they're saying,
"Oh, you agents like people and put them on the org chart." Are you kind of like, "Whoa,
you guys are a little wacky?" Well, especially, you're going to delete, you know, get rid of agents
left and right because this technology is moving so fast. You don't shed people that fast. There's
outcomes that come when you have to restructure a human workforce. That doesn't come when you
have to just say, "Oh, delete agent. Don't need you anymore." It's to me, it's just apples and
orange conversation. How do you manage that? Because there are some, and I agree, I think there are
different types of agents. There are some agents, for example, that are just kind of like business
process automation. They. take information from one document,
they copy information into another document.
But then for example, like in my case, when I use Muse,
Muse does a lot of very different types of dynamic work for me,
whether it's building a website for the community,
whether it's helping me research something,
whether it's designing something for me.
So it's dynamic and you kind of have to manage it from a work perspective
with a way that you would a person in terms of deliverables,
deadlines, what's the update on this.
But obviously the whole human and emotional part isn't there.
Coaching, mentoring, dealing with difficult times.
None of that's there.
So if there's an employee, for example,
who's managing several agents who are doing dynamic work,
where the employee is accountable for the work,
would you still say they're not a manager,
but maybe they're just kind of a, I don't know,
I don't know what you would call them.
I think that's something I would love for you
to come back from your conference and say,
what is that new job role?
Because this is, again, this technology
is going to make us look at roles differently going forward.
Job roles in every company are going to have to evolve.
Just everyone's role is going to evolve.
And we need to recognize that.
But then what is that expectation?
And again, I say for anyone using any AI,
every single one of us is accountable and own the output.
You can't blame that on the agent.
The employee, the leader who presents that data,
that outcome, that product result, owns it.
Correct.
So I think we have to, that might be something
when we think about that job role in someone's managing agents.
Then I would go back to is that person, actually one,
who can validate and certify the results
and be accountable for them.
So that might be a different discussion
of how you look at that job role.
Yeah, I did a on sub-stack.
I did a deep dive a couple of days ago
and I put several different types of criteria.
I had kind of at the bottom, I put user, which is level one,
which is somebody who's just using these AI tools.
Number two, I had a delegator who, somebody who can maybe
hand over some dynamic work over to any agents.
And they review the output and stuff like that.
And then I kind of have a dotted line.
And after that, I put kind of the managerial layers.
And so one could be a supervisor of agents
where you're running agents, they're doing dynamic workflow.
You set the bar, you own the results.
Above that, I had orchestrator
where somebody who's designing multi agent systems.
And then above that, I had agent leader
where somebody who sits at the very highest level
is deciding what are people doing versus what
are agents doing across a function.
They help build each other's capability.
People are responsible for the results there.
So I put together a little bit of what
you would call like a ladder.
Because I think there's a difference
between a user of AI tools, a user of agents
and more on kind of the higher layer there,
the designer, the person who's balancing between humans
and agents.
So I find that interesting.
Because I think of some of our more complicated workflows
that IT will help us design and build.
And then that workflow comes over into HR finance sales
regardless of the function, right?
But then that designer is kind of--
now it's over in the function.
So now the function owns it.
Yeah, it's a little messy, right?
We'll complicate it.
And then--
Yeah.
So--
Yeah, yeah, yeah.
And I mean, I suppose one stands
a lot of organizations could take is like, look,
technology's technology.
I don't care what you're doing.
It's a tool.
You're using a tool.
Don't talk to me about this.
And it certainly knows some organizations
who are taking that stance.
And they're like, what are you talking about?
You're not getting any promotions or salary increases
for managing a technology like good for you.
Everyone else has to learn how to do that as well.
That's just part of your job.
And then there are other organizations
who I'm starting to hear murmurings where their employees
are starting to ask them, like, hey, you know,
can I get a pay increase?
Can I be called an agent manager?
So it's-- I don't know.
I think next year we'll be interesting to see
how this plays out.
I would like to see how it evolves over the next year.
I go again a little bit on that AI is not magic.
It is a tool.
It's how do we integrate it into our workflows
and into the human workforce?
And then what are those different gates that we're going to have?
And I don't know that we've deployed enough to say
that I have those roles defined yet, that you would need that.
I definitely have, you know, when I look at--
we're just doing job roles.
We're doing a big job architecture project right now
across C-gate.
And as I'm looking at it, I said,
I don't know that I need full-time AI agent developers in HR.
Maybe those actually sit-- those developers sit in IT.
I absolutely need people to be technically fluent.
Like, I know that a built agent, right?
There may be some that can actually
do some basic level of gentifying processes and build agents.
But for the complex work, maybe that
is going to sit outside of HR.
I'm not there that we need that specific job role in HR.
So I think as we do our job architecture project,
we're trying to figure out what are the new roles?
Where do those sit?
How would we define them?
And they will get to your question of,
is there actually a manager?
I'm not there on a manager role yet.
OK, got it.
But I like the sticking from to the org chart.
I think that's an important stance for organizations
to take, and I tend to lean with you in that direction
as far as not putting them on an org chart,
because they're not people.
And even somebody in our last monthly CHR group,
he's like, what are you going to do?
We have agent 64192 reporting to this person,
and then they disappear to your point.
Everything gets re-organized.
It just doesn't make sense in that kind of a world.
So if the agent goes rogue and we're a public company,
the board is going after a functional leader.
Yeah.
Right.
How did that happen?
What were the rules and guard roles
that you haven't-- did you not have in place?
I mean, I still go back to.
I mean, that's why I put agents on the organizational chart.
They're not accountable.
Yep.
Yeah, I agree with you on that.
I know we only have a couple minutes left here.
Is there anything else that you can share
about what you're doing internally?
I really like this portal that you made
where employees can answer a couple of questions
and think through their workflow.
We talked a little bit about this leadership program
that you have going on internally with,
I think you said, 35 employees who
go to all the different facilities.
Anything else that you want to highlight
as far as programs or initiatives you have going on?
Well, we've kind of gotten some feedback from people
like C-Gate.
We're going back to Oswool, because I'm
going back to job architecture.
I call it the workforce architecture, work architecture,
because I believe if we're going to amplify humans
as we introduce this technology to amplify us,
it is and it is augmented by this AI transformation.
So if we say we're doing it and I hate the word transformation,
it gets totally overused.
If we say we have an objective of AI transformation,
I really think that's human amplification.
So I look at that starts with job architecture.
And it's pretty old school, but our job roles in C-Gate
had not been reviewed in a while.
So really breaking down the job role,
understanding the work tasks, the skills,
and the competencies that go with that role.
And this will be a living job architecture.
It will always be evolving.
And then that will allow us to get into the workflow,
because that productivity is going to change.
So how do you look at that human plus AI capability
plus the experience, that workplace experience,
which is going to equal productivity.
And with that job architecture, we're
working with a company out of Germany called Co-Brainer.
They can show us--
because they look across the globe, scraping the internet--
they can show us in job roles today
how much of that role can be automated today.
So I can put any job role that exists today that's
out on LinkedIn or any other job board and say,
can you tell me how much of that job today has been automated
due to AI or any other type of technical transformation?
And it gives a manager a different conversation
to have to say, listen, because everyone's
going to be at a different maturity level.
Some companies have already been automating a lot.
Some haven't.
But it gives a manager a place to start to say,
in this tool, I see 10% of this role can be automated.
Why don't you go focus some effort there, which
frees up 10% of your path capacity to work on these tasks?
And again, so then that job profile, that job role,
will continue to evolve over time.
Access to technology improves.
But for me, that job architecture
is our data foundation in which we're an SAP company.
So in SAP, that's the data foundation in which every other module in SAP will be on top of.
So your learning development, your career profile, how do you look at other opportunities
and see-gate?
What are the skills I need to have?
It'll be more transparent because all those skills across 30,000 jobs will be in this
job architecture.
Yeah, we have quite a few members who are using SAP. Obviously, some are using Workday,
you get Oracle, you get UKG, you get Google Play.
Any of them where you have to build your, so I go back to principal number one of AI,
is your data clean? Do you have the right data foundation? Because we're going to run
any of these tools on top of it. That is step number one.
So for us, if we really want to give people the right career development plans, the right
learning profiles, skills, architecture, I need the job architecture to be clean.
Yeah, and that takes a long time to do that.
We're going to do that in nine months.
Wow, that's awesome. So for people who are not familiar with the concept of job architecture,
can you explain what exactly that is and what you're doing there, and I didn't really
have a couple minutes. Yeah, so really basic. Think of your resume. It's your job description.
It's that role of how that role sits in the company. It's the tasks that you do.
The tasks are critical, especially if you're going to run a gen to AI on the top of it.
What are the tasks, the primary tasks that that job role was created for? So it's kind
of your outputs, right?
And then the skills required to do that job role.
And then there will be a competency as well. So for a professional level one engineer,
you get out all these 10 to 15 skills, but your proficiency, your competency level is low.
But if you want to be promoted to the second level, you know, P2 engineer, then you can
actually then see, I need to increase my skill competency in these areas.
So whether you're, you know, a chemical engineer or, I mean, you can name it, right?
It will show you at least for C gate, where it will give more transparency of where it
can be successful.
And how often does that change? Is that something dynamic that changes every quarter, every
year?
So as we do it, we're going to do 100% now. And then what I'd like to do is your HR business
partner can evolve that as org structures change. And it's going to be a living document
document.
So you go in and managers can say this job role, this job family, so family sits at the
top, you know, like human resources, and then the job roles within human resources, these
roles have changed. Some roles may disappear. But I look at that and I said that the people
don't necessarily disappear. It's how do you migrate that person over into a different
role?
Because to me, you've already invested so much time in knowing our processes, our culture,
how we run as a company, everyone brings so much passion and skills. We should be able
to find another role for them.
Yeah, having that picture is very interesting as far as skills and kind of mapping that
out, where are the strengths, where are the weaknesses? What should we be doing? Right,
having that picture I think is critical, especially in a world that is changing as quickly
as it is.
So I'd be very curious to hear when this is all done and what that's going to look like
for you guys.
My number one objective is a manager can go in the tool and have a more rich conversation,
human to human, with their employee, and the employee can go in there and see very transparently
how they're doing.
Yeah.
So I did changes that conversation. And then some managers like, oh gosh, the employees
asking me a development question, where do I even start? Well, now this will give them
all the cues to have the right conversation with the employee. So I really hope it changes
that dynamic.
Yeah, it sounds like it will. And Patricia, I know we're at a time, but where can people
go to learn more about you, anything you want to mention for people to learn about
C-Gate, your LinkedIn profile, anything that you want to--
Yeah, I would say we're pretty robust on LinkedIn. We're always trying to celebrate
our successes. And we have really tried to celebrate our employees and things that
we're doing out in the communities and which we work. So LinkedIn's always a great place.
Any of the tech publications, I'm on LinkedIn a lot. I'm a voracious reader. I'm always
posting about books that I'm reading where I'm also doing my own learning and curiosity.
So I'm always happy to have a book dialogue conversation with anyone out there because
it always stretches my mind of how I should be looking at things differently. So shout
out the dialogue. Just reach out to me. It would be great.
Very cool. Patricia, thank you so much for taking time out of your day. Really appreciate
it.
Thanks.
Podcast Summary
Key Points:
Patricia Frost’s military background in intelligence and cyber operations shaped her leadership focus on people, collaboration, and resilience.
She emphasizes that cyber threats are inevitable and every organization must prepare through clear leadership, strong CSO integration, and public-private partnerships.
At Seagate, AI is being used to augment human capabilities, not replace them, with a strong focus on employee experience and redefining roles through workflow innovation.
Seagate launched a large-scale AI training program reaching 7,000 employees, with 400 AI champions driving adoption and workflow redesign.
A "human-first" approach is maintained by refusing to place AI agents on org charts, prioritizing human accountability, emotional intelligence, and job security.
The company is advancing a living job architecture to map roles, skills, and competencies, enabling transparency, career development, and better workforce planning.
AI tools are being used to analyze real-time automation potential in job roles globally, helping managers identify where automation can improve productivity.
The core belief is that AI serves as a tool for human amplification, not replacement, and that organizational success comes from aligning technology with people and culture.
Summary:
Patricia Frost, EVP and Chief People and Places Officer at Seagate, draws on her 32-year military career in intelligence and cyber operations to underscore the centrality of people in leadership and organizational success. She highlights that cyber threats are no longer hypothetical—they are inevitable and require proactive, structured responses grounded in leadership visibility, clear roles for the CISO, and collaboration with public and private sectors. At Seagate, AI is being strategically integrated to augment human performance, not replace it.
A comprehensive employee training initiative has reached 7,000 professionals, led by 400 AI champions who drive workflow innovation and human-centered redesigns. A key principle is that AI agents are not placed on org charts, as they lack human accountability and emotional intelligence, preserving the value of frontline workers and managerial roles. The company is also building a living job architecture that maps roles, skills, and competencies across 30,000 positions, using global data to assess automation potential and support career development.
This system enables managers to have richer, data-driven conversations with employees and fosters transparency in performance and growth. Ultimately, Frost believes AI is a tool for human amplification—enhancing capabilities while maintaining cultural integrity, employee engagement, and the irreplaceable value of human judgment, connection, and leadership.
FAQs
Patricia Frost served as a two-star major general in the US Army, where she worked in intelligence and later in cybersecurity. Her experience in a people-centric environment shaped her leadership focus on human connection, trust, and collaboration—principles she now applies in her role at Seagate.
Patricia sees AI as a tool to amplify human capabilities, not replace them. She emphasizes that employees should own the outputs of AI-generated work and that the focus should be on enhancing human performance through better workflows and experience, not on redefining jobs in a way that devalues human roles.
Seagate has trained over 7,000 employees in foundational AI skills through a self-directed, hands-on program. This includes a network of 400 AI champions who help design training and guide colleagues through workflow innovation and automation.
The company focuses on democratizing AI access and transparency by providing training, real-world use cases, and clear communication. Employees are taught how AI can reduce workload and free up time for higher-value tasks, reinforcing that AI augments, not replaces, human roles.
Seagate does not place AI agents on org charts, as they are not people and do not carry the same accountability or responsibilities. Instead, the company uses agent management systems to track ownership, guardrails, and performance, without equating AI agents to human managers.
Seagate is conducting a comprehensive job architecture review to map job roles, tasks, skills, and competencies. This living document will help identify automation potential, guide career development, and support workforce transitions as AI transforms operations.
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