In this episode of the Future Proof HR podcast, Thomas Kunjappu, CEO of Cleary, sits down with Stefani Voorhees, Chief Human Resources Officer at Propio Language Services, to explore what it really takes to adopt AI across an organization without losing the human element.
Stefani shares how executive alignment, transparency, and a clear philosophy that “AI makes people better, not replaced” shaped a company-wide shift toward responsible experimentation. From forming an internal AI function to launching small pilots with guardrails, she walks through the practical realities of change management in fast-moving, high-growth environments.
The conversation dives into real use cases across talent acquisition, learning and development, and performance management. Stefani explains how AI-powered recruiting insights are helping HR move from anecdotal feedback to data-backed strategy, while also emphasizing the importance of blending technology with empathy. As automation increases, she argues, HR’s role becomes more strategic, not less.
The episode closes with a candid look at the future of HR. Stefani shares why AI is accelerating the shift from administrative work to business partnership, why “people experience” must remain the north star, and how leaders can stay adaptable when the future is anything but predictable.
Topics Discussed:
If you are an HR leader navigating AI adoption, managing change across teams, or trying to elevate your function from administrative to strategic, this episode offers a practical and grounded perspective on building momentum while staying people-first.
Additional Resources:
And I think when I look at it, I do not see AI as replacing people.
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:A machine didn't tell our executive
team, here's what you guys should
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:do over the next 12 months.
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:We had to come up with those ideas.
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:Thomas Kunjappu: They keep
telling us that it's all over.
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:For HR, the age of AI is upon
us, and that means HR should
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:be prepared to be decimated.
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:We reject that message.
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:The future of HR won't be handed to us.
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:Instead, it'll be defined by those
ready to experiment, adopt, and adapt.
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:Future Proof HR invites these builders to
share what they're trying, how it's going,
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:what they've learned, and what's next.
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:We are committed to arming HR
with the AI insights to not
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:just survive, but to thrive.
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:Thomas: Hello and welcome to the
Future Proof HR podcast, where
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:we explore how forward thinking
leaders are navigating disruption
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:and redefining the future of work.
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:I'm your host, Thomas
Kunjappu, CEO of Cleary.
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:Now today's guest is Stefani Voorhees,
the Chief Human Resources Officer at
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:Propio Language Services, a fast growing
company in the language services industry
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:that's boldly embracing Artificial
Intelligence to enhance human performance.
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:Under Stefani's leadership, Propio has
grown from under a hundred employees to
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:over 600 in just two years, all while
launching an internal AI team and HR AI
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:agent and a philosophy that AI doesn't
replace people it makes people better.
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:Stefani, welcome to the podcast.
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:Thank you.
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:I'm so excited to be here today.
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:So there's so much to talk about.
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:Could you tell me a little bit just to
set the background, but what is Propio and
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:what's been going on over the last couple
of years that's caused so much growth?
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:Stefani: What hasn't been
going on the last couple of
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:years is really the question.
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:So we are in the language services
world and we offer both interpretation
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:and translation services.
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:We've got clients all over the globe.
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:It has been phenomenal.
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:I've been here right at two years
coming up on two years in a couple
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:of weeks and it's been a wild ride.
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:When I first met with Marco and
the leadership team here they
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:promised me wild ride and they
have yet to under deliver on that.
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:So we've grown both organically
and through acquisition.
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:We've completed four acquisitions
over the last 18 months.
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:So it has been phenomenal and really
excited to continue to see Propio grow
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:and take this next step into the future.
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:Thomas: And you're in the language
services space and to go a little bit
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:back into like my career, like a while
ago, I worked on some software that
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:included a lot of machine translation.
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:We're going back well over a decade.
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:And we also worked with a lot
of human translators to make
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:a bunch of stuff happen there.
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:And on the face of it, it seems like
an industry that has always been and
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:is completely being rocked by AI.
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:So tell me about how that's
happening and how you guys are
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:growing despite or because of it.
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:Like how is it related?
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:We can just talk about the industry
because it's very interesting because
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:language services it's like one of
those things where there's a lot of
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:applications leveraging AI, right?
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:Stefani: Yeah, absolutely.
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:And from the beginning, we have
really seen AI not as a threat, but
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:really as a catalyst of growth for us.
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:We are a people driven business and the
power of AI really is lying with how can
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:we enhance the accuracy, the speed and the
insight, not replacing the human element.
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:And so we recognized early that
organizations who are leaning in and
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:learning fast with AI will really
set the pace in this industry.
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:So for Propio and the things that we're
doing here, adopting AI was really
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:about staying true to our mission.
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:And that's connecting
people anywhere, anytime.
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:And we are doing that through technology.
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:And we are able to do it at a smarter
and more impressive scale than
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:I think others might be able to.
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:And it's really allowed us to innovate
from a position of strength rather
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:than reacting from a place of fear.
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:Thomas: Was there ever like a moment that
made you say, okay, now we're choosing,
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:we're taking a right turn here as a team.
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:And now we're going in like that in
terms of being an AI or was it just
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:something that happened organically?
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:specifically the reason I'm asking is
feel like a lot of companies and HR
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:leaders who might be out there listening
are in that mode of deciding or helping
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:decide at an executive team level.
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:Okay, what is our posture
towards this for our industry
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:and for us as an organization?
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:So is it a lightning in a bottle moment
or was there just a I don't know,
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:hundreds of meetings and hours over years?
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:Stefani: Yeah, it was definitely
a conscious decision on our part.
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:was about 12 months ago.
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:It was September.
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:We knew that there was
a lot of buzz around it.
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:Our executive team is
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:very well versed in the industry.
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:And we started hearing
about it more and more.
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:So a little over 12 years or 12 months
ago, we made that conscious decision.
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:And September of 2024 is when
we took that out to our people.
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:Thomas: It sounds like it was a
conscious decision at an executive team
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:level, seeing what in your industry
and where you wanted to go as an
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:organization to really see it as a...
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:you want to be an early adopter, you
want to lean in and also ensure that
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:aligns still with your broader mission.
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:And it does.
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:So once you got past that set
of decisions, what comes next?
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:How do you
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:do the change management for an entire
organization around AI adoption?
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:Stefani: It like you said, it
started at the executive team level.
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:We had to have a lot
of those conversations.
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:But I think we came to this decision
relatively quickly and we all had the
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:same thought around AI should enhance our
people and performance, not diminish them.
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:And I think since all of us were
so aligned around that so quickly
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:that we were able to expedite some
of those conversations that I'm
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:sure companies are having out there
that are taking hours upon hours.
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:Once we knew that was our clear principle,
the alignment came pretty quickly.
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:Each of our executive team members looked
at how could we use AI in our functions?
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:How could it elevate the functions
that we were responsible for?
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:From HR to operations product, all of us.
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:We really took a hard
look at what could we do.
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:And then we jumped in and I think
it was a lot of communication.
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:I mentioned this town
hall in September of:
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:We just came out and
said, here's our stance.
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:We are leaning into this,
but we want you to know that.
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:We believe this is enhancing.
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:It's making people better.
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:It's not better than people.
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:And I think when we took the approach
of just going to be really open
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:with our employees and our teams and
tell them what we're looking for.
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:That kicked it off.
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:And then after that, it was how
can we test this responsibly?
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:Little small pilots, little trials
and errors, continuously being
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:transparent with our communication
around what we're doing.
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:We absolutely had to set guardrails.
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:We established an AI committee very early
on saying, okay, what are our boundaries?
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:And we were honest with that.
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:We focused on our quick wins.
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:We really demonstrated the
value that AI was bringing.
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:So the employees could
get a little bit of that.
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:A lot of times we're always
looking for that final win.
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:We took little wins with AI.
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:And because we had that early
on alignment, we were able to
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:have the accountability with
each other to really make AI an
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:innovative part of our business.
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:Thomas: So it sounds like it was both
in product development as well as like
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:internal operations for every department.
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:It's as kaleidoscopically
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:engaged as possible.
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:And the approach you're
advocating for you went through
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:is it sounds like transparency.
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:It's like you made a decision
fast and you went at it and
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:said, here's what we're doing.
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:And here's, there's a lot of
open questions, but we're going
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:to support people along the way.
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:I think even if another stage I hear
about often are executive teams that
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:are aligned, but then they're trying
to figure out how should we best
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:go about engaging with a broader
employee population around this.
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:All the way from like mandates to this
is completely open and experiments,
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:promises about L&D in folks and skilling
versus just saying, hey, we need to
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:figure things out in a small group first
before we make a bigger announcement.
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:What kind of thoughts would you have
about those kind of change management
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:decisions that people might be
going through about given executive
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:alignment, how to go about that?
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:What things would you consider
in forming such a strategy?
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:Stefani: I think part of it for us was
we were really honest in saying, nobody
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:knows what they're doing 100 % here.
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:Like AI is cool to everybody.
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:And I think that just us being
willing to say, we're going to mess
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:this up 100 and being okay to try a
lot of things, fail fast with them.
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:Because nobody has the playbook for AI.
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:I think that's one of the most
asked questions for me right
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:now, whether it's internally or
externally is what's your playbook?
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:We don't have one.
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:We're all writing this thing
together and one of our values.
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:And I think we'll talk a little bit about
some of our values later with fail fast.
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:It was perfect with AI.
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:We just had to jump in, try it out.
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:And there was some strategy internally
with it and externally as well.
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:But on the internal side, it's we
identified groups of people that we knew
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:were excited about it or interested in it.
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:Why not be as hesitant?
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:And we tried and we got
those little wins with them.
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:And then it was like, wait that's
really cool, I would like to try that.
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:And so it became a want what they have.
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:And so we were pretty strategic internally
with picking pockets to trial things with.
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:And then externally, obviously, so
much of what we do is in healthcare
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:and very regulated industries.
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:And so we had to be also on our client
teams, they were extremely strategic
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:and clients said they started to
have these discussions with, and we
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:took it as we're going to have to
try things, we aren't going to get
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:it 100 % perfectly, but let's try it.
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:But let's be really strategic about how
we try it, who we're trying it with.
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:Thomas: So I have to ask them
about the HR element of this.
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:Do you feel like as a people leader
within the organization, have you
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:been taking on new things, would
you say, with this transformation?
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:Or does it feel like other exercises
that the function has historically
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:led, whether it's like a digital
transformation or company-wide
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:processes that you're rolling out there.
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:How does this compare?
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:Does it feel like it's adding more
to the already full functions on a
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:briefcase?
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:Stefani: I think it's
just something different.
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:I don't think it's anything
more, and it might just be me.
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:I've got a project management
focus when I'm building my HR teams
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:and running the people function.
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:It's all very project management focus.
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:But for me, it wasn't.
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:It hasn't been something that's scary
and it's like big overhauling thing.
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:Last year we implemented a new HRIS.
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:That was not an easy feat.
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:We've gone through four
acquisitions and acquired a
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:thousand employees every 18 months.
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:That's not easy either.
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:To me, I didn't let myself get bogged
down in, my gosh, this is something new.
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:I've got to figure it out.
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:Let's jump in and figure it out.
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:What exciting things could
this do for us in the future?
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:And so I think a lot of it was the
mindset that I went in with it.
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:But I don't think it was any more than
any other change management that HR
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:function would do in the business.
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:It's just something different.
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:Thomas: I love that attitude.
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:One of the things that you guys
did was actually build, that is a
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:little bit unique as you actually
have now a VP of AI, right?
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:So it's a function, right?
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:That's like now emerged, which some
organizations are also like thinking about
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:or it just may naturally go into existing
functions and it's maybe it becomes
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:more bottom up in terms of the strategy.
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:Tell me a little bit about what came about
with building this internal AI function.
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:How did that come about and why does
it make sense in your environment?
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:Stefani: It sense in a lot of ways.
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:And our internal AI function
it's not just internally facing.
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:That team is doing
internal and external work.
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:But just like AI itself, it's evolving.
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:It's a very new team.
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:just hired the VP of AI this year
and he came in and we immediately
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:added a whole function to this group.
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:And now we're adding yet another
function because we see yet another
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:opportunity and things are going
well and we want to expand on things
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:and we want more opportunities.
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:So it's very similar to AI
itslef, it's just ever evolving.
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:And I know where it sits today isn't
where it's going to be next year.
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:It'll look completely different.
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:And Proprio is very fortunate.
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:We've got not even just the executive, all
of our senior leaders aren't scared of AI.
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:And I think that's where a lot of
businesses right now are struggling
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:is there is a lot of fear around it.
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:And that's something that makes our
management team so strong is some that
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:might be a little bit more hesitant
around it, are able to talk to the
244
:ones that are more like, let's jump all
in and we can balance each other out.
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:And so think when you're looking
to build these AI functions.
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:We built a committee
as I mentioned earlier.
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:You've got to balance it out
because the people that want to
248
:go all in, they probably need
to be rolled back a little bit.
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:There is a reality to businesses, but
also on the other side of it, those
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:that are terrified of it, sometimes
they need a little bit of push.
251
:so ensuring that you have that
balance within the group is how
252
:you're going to evolve as a business.
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:Thomas: Got it.
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:Then structurally, could you tell me
like how you got into a point where,
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:okay, the strategy is in place,
we're doing some change management,
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:bringing people along, and now we
even have this internal function.
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:Which is itself evolving over time.
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:But what is the structure now if
you want to bring in a new tool or
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:bring change a particular process.
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:What's been working for you?
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:Or what's, what are things that you've
shifted in terms of process that is then
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:also enabled by this internal AI function.
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:Stefani: Yeah, when we've wanted
to bring in a new tool or try
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:something out, it's obviously we've
got to make the business case.
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:It can't just be a half-baked idea.
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:We're really big into fully
bake the idea, then sell it.
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:But we've really been open-minded
to trying out different things.
268
:We've had a lot of conversations with
external partners of tools we've brought
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:in and said, hey, we want to try all this.
270
:We want to see what limits
we can push with it, where it
271
:works, where it doesn't work.
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:And just having those conversations.
273
:And then we put stuff
through the AI committee.
274
:We talk about it as an executive team.
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:And I think it's critical when
you're looking at bringing in
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:new tools and changing processes.
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:I think a lot of times people think,
changing a process, that's HR's job.
278
:It is yes, but I would say it's a yes and
for us, I really thought of it as AI at
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:Propio wasn't, that's not an HR thing.
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:That's a business decision.
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:HR plays a role in this absolutely,
but because AI is a business decision
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:for us, it's a business shift.
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:We've really empowered all of our leaders
to bring people along with the change
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:and not just put all of that on HR.
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:I can write a policy, yes, but I'm
not the one living with these teams.
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:I'm not the one sitting
beside them every day.
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:And so for us, we've really taken that
perceived burden away from HR and say,
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:guys, this is a whole business thing.
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:We're all in this together.
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:It's going to take all of our
time and all of our effort.
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:Thomas: Wow.
292
:Let's talk about the HR side of it though,
because you mentioned the mandate is what
293
:you guys have been doing is not just like
implementing AI for your product, but
294
:also every function internally is also
going at it and finding different ways
295
:to pilot and leverage new tools and or
ideas from an HR perspective specifically.
296
:What have been some cool things that
you've tried that's been working?
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:I'm also just as curious about any
of the experiments from the fail
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:fast where you fail fast at any kind
of stage of the piloting process.
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:Stefani: Yeah.
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:So tried a few things.
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:I got a lot more on the roadmap for 2026.
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:Now you've got this AI function.
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:think there's a line out the door.
304
:Who gets to use them the quickest,
but we tried a few things.
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:think most of it has been in our
learning and development function, as
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:well as our talent acquisition function.
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:We tried several tools on the TA side
around reviewing interviews, typing
308
:up their notes, summarizing it.
309
:We get a lot of feedback of and this
candidate only wanted hybrid or fully
310
:remote, or they wanted fully in office.
311
:But we've never been able to provide
data to make business decisions off of.
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:And so we implemented, we
tried a couple of AI tools.
313
:We ended up implementing one that the
recruiters will have a phone conversation.
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:It writes their notes for it.
315
:But my favorite part is I can go
in and say, how many times was
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:PTO mentioned in a phone call?
317
:How many times was remote work brought up?
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:And so now I'm able to collect this
data and then I can come back and say,
319
:okay guys, we say anecdotically that
this person declined because of XYZ.
320
:I actually have data.
321
:Do we want to make a
change in our programs?
322
:Do we want to make a
change in our offerings?
323
:Or does the data not support it and
it's actually just something that
324
:like one person said and it got stuck.
325
:So we're able to make a lot
better decisions for the
326
:business strategy based off of TA
conversations, which is very unique.
327
:Thomas: I love that example.
328
:I've seen it a lot in high ticket B2B
sales for a while where the expectation
329
:is that every call is recorded.
330
:Part of it's like a little
bit almost cultural.
331
:Are we okay with?
332
:having these things, but I think
we're moving in that direction.
333
:But then it's really interesting
because you can take out a lot of this
334
:unstructured data, which is available
in so many transcripts for any kind of
335
:context where a call can be recorded and
then convert that into useful insights.
336
:And that work, even if you
had the recording, like before
337
:this technology you're talking
about, that's a thankless job.
338
:If you're going to try to take
hundreds of screening calls and
339
:try to come up with a story.
340
:great examples.
341
:So then that's then come back into making
an impact on your processes or maybe
342
:even the candidate experience or even
the employer value proposition overall
343
:through in terms of what you're offering.
344
:Stefani: Yeah, absolutely.
345
:And our sales team uses the same tool.
346
:We've got different platforms,
obviously, but they do use the same tool.
347
:And like you said, my recruiting
team was very nervous at first.
348
:I came to them and said,
Hey guys, guess what?
349
:I'm really excited.
350
:I'm going to record all of your phone
calls and I can listen to everything.
351
:And the eyes got really
big and I don't want that.
352
:I want the data.
353
:And then when I told them, said,
you guys are saying that we need
354
:to change our PTO policy or we
need to change our this or that.
355
:I've never been able to do or
have these conversations that
356
:don't have the actual data for it.
357
:Guess what?
358
:Now I do.
359
:And I've been able to show
them because of this tool.
360
:One, you guys are saving a ton of time.
361
:You're not writing notes.
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:You're saving an absorbent amount of time.
363
:I'm very compliant from
a note taking standpoint.
364
:And I now have actual data and I'm
helping you guys and it is proven itself
365
:a couple of times where they love it.
366
:Thomas: I love that example because
often part of the journey is the change
367
:management internally with a team that
has a process that they're comfortable
368
:with and is getting to some results.
369
:Now you got to really have the motivation.
370
:There's some time saving element
here, obviously for recruiters, but
371
:then there's also this carrot of we
can actually make a case to help you
372
:convert, like in your case, have a
better employer value proposition and
373
:convert candidates better if we're able
to improve the offering effectively.
374
:That's
375
:interesting because I see the
parallels with sales, of course,
376
:but then also it's the...
377
:would you say that like your recruiters
were after that initial time where
378
:you're getting them board, did you
go through a pilot and then you got
379
:everyone's feedback and now we're
just like off and standardized that
380
:as a generally speaking as a process?
381
:Stefani: No, I just threw them in.
382
:said, They're rusting a pilot.
383
:I said, we're doing this.
384
:If it's terrible, I'll fix it.
385
:But let's try it.
386
:think it's going to be great.
387
:Our sales team was using it beforehand.
388
:And so I was able to sit down with
our SVP of sales and I'm like, show
389
:me your ways, show me the value.
390
:And I really did a ton of due
diligence on the front end.
391
:And then I said, they're going
to panic about the recording.
392
:I was right.
393
:But then they saw the value very quickly.
394
:And so I just, I jumped right in
and I showed them all of the why's.
395
:And I showed them all the
value and brought them along.
396
:And then they learned pretty quickly
that I was not incorrect in my selling.
397
:This has been a fantastic
conversation so far.
398
:If you haven't already done so,
make sure to join our community.
399
:We are building a network of the
most forward-thinking, HR and
400
:people, operational professionals
who are defining the future.
401
:I will personally be sharing
news and ideas around how we
402
:can all thrive in the age of ai.
403
:You can find it at go cleary.com/cleary
404
:community.
405
:Now back to the show.
406
:Thomas: And it's also an example where,
so you're at the level of setting the
407
:strategy and saying, Hey, we're going
to all do this at a company level.
408
:But then in your own function,
because arguably recruiters and
409
:any team member could potentially
propose any of these ideas.
410
:But yeah, I think at least what I'm
hearing is as a leader, doesn't.
411
:You don't have to stop there.
412
:You can go all the way into
let's try this particular tool
413
:for this particular process.
414
:And let's try that starting next
week and let's really roll up our
415
:sleeves and go and see where we
end up to really force the issue.
416
:It's like, see if you
can get to some results.
417
:But I'm very curious also about
the other one that you use case you
418
:mentioned on the L&D side, what's
been working or not working there.
419
:Stefani: Yeah.
420
:So content creation has been
the name of the game with that.
421
:We've used AI a lot on
the content creation side.
422
:But we're also starting to explore AI
on the L&D side around recommendations.
423
:So we don't have this one
100 % figured out yet.
424
:We're trying out some tools right
now where it can say, hey, the
425
:employee's performance is showing X.
426
:Maybe they need Y training.
427
:Or hey, the feedback is here.
428
:We recommend this.
429
:And so actually making recommendations,
I am transparently little more
430
:hesitant of how that works than I
was on the content creation side, but
431
:my L&D team is definitely using AI
significantly in content creation.
432
:It's speeding up.
433
:We've got a small but mighty L&D team
here and they're able to produce a lot
434
:more quickly the content that they're
supplying out to the organization.
435
:Thomas: Isn't there a similar risk
with that content creation side too?
436
:You're putting out AI slop.
437
:Usually you'd have really.
438
:Well thought through content for
a manager training or a specific
439
:functional kind of training.
440
:But now you're just, I
441
:don't know, expected to do more.
442
:Like we're to do 10
trainings instead of two.
443
:And then you devolve towards
stuff that's not as good
444
:basically, or not as effective.
445
:Like what are the guardrails
or how do you feel like you're
446
:on the content creation side?
447
:Cause I feel like that's the place
where it's easiest to start, but
448
:how do you protect against that?
449
:The quality not being to the same
level as you used to have it.
450
:Stefani: Yeah.
451
:This is definitely an area that my
team had to learn a little bit from
452
:when we first started this journey
a little over a year ago to today.
453
:And I did quarterly town halls
with all of my people team.
454
:And the last two, said,
okay, we're talking about AI.
455
:We have a whole section on AI
and we're going to talk about it.
456
:And it really has been around.
457
:I love that you guys are using it.
458
:I don't want to know that you're using
it by the product that's being produced.
459
:And so reminded my team of the ChatGPT's
of the world writing our emails.
460
:That's awesome.
461
:I love this for us.
462
:However, I don't want it to
sound like ChatGPT or your email,
463
:please make it sound like you.
464
:And so I really have had to actually take
examples of work product that I have seen.
465
:I review a lot of the things before
they go out to the organization,
466
:but I've had to take and say, look,
I knew this when we were in my AI.
467
:Here's how I knew and i've compared
it to things and I think showing them
468
:and just having that, I'm not upset.
469
:I'm the one that told you to go do this.
470
:I'm not upset at all.
471
:I just want you guys to understand
that there is a balance to it.
472
:AI is making us more efficient.
473
:AI is providing us a lot of value,
saving us a ton of time, but we
474
:are still responsible for humans.
475
:And there's a human on the other
side of every single thing that we
476
:do and we cannot lose sight of that.
477
:So even when it comes as
far as to automation, I'm
478
:pushing them to think through.
479
:If you received that as your response.
480
:If your chatbot responding that
way, how would you feel about that?
481
:If an employee uses the chatbot and
says, my mother just passed away.
482
:I do not want that chatbot to just respond
with here is the bereavement policy.
483
:We need to build it to notify us.
484
:And so a human can respond to
that because you need to know how
485
:you would feel if you got that.
486
:And so I'm doing that on the content side.
487
:If you were sitting in a room going
through this, are you going to
488
:feel like a machine did this or you
have to like a human invested time.
489
:So it's definitely a balance and
it's an area that we had to learn.
490
:And like I said, I was okay with saying,
I pushed you guys, but now I'm going
491
:to show you how we can get better.
492
:And we iterated together as a team.
493
:Thomas: Can't be the high school teacher
telling your kids to use ChatGPT and
494
:then complaining about plagiarism.
495
:But
496
:yeah, there's a balance here.
497
:like your approach of just thinking about
it from the customer standpoint, right?
498
:It's like an age old advice, right?
499
:That's still relevant.
500
:Put yourself in the customer's
shoes and what would you think?
501
:Right.
502
:And if people follow that.
503
:Because if you chase efficiency to
the end, you have to balance that
504
:right a little bit with the quality
from the customer's perspective.
505
:So it's like there's content creation,
but then you're playing with the idea
506
:of recommendations to keep people
think about what they could take next.
507
:So then you said there's a
whole roadmap of other ideas.
508
:What else are you like
excited about for:
509
:What opportunities do you see and for
the organization to leverage more?
510
:Stefani: Yeah, our biggest area
that we went to best in from
511
:the people team is performance.
512
:I still think there's some more I can
add into the talent acquisition function.
513
:Our big joke is we actually use
ChatGPT to find our VP of AI.
514
:Very roundabout way, but it was
involved in the hiring of our VP of AI
515
:and it's one of our favorite stories.
516
:We
517
:want to really focus on the
performance side of things.
518
:Performance takes a lot of time
and not everybody loves it.
519
:Not everybody is as good from a leader
standpoint in having those discussions.
520
:There are several tools that we're
currently evaluating right now that can
521
:help us with some level of automation
with nine box AI performance review
522
:writing, which sounds very scary, but
that is where I'm checking a lot of
523
:boxes of saying, okay, but we have to
make sure the manager is able to say,
524
:yes, that is what I want it to say.
525
:And so that's really where we're
ng at least the first half of:
526
:knows what the second half will
hold for us, but really that
527
:first half is continuing to invest
on the talent acquisition side.
528
:And then implementing some AI
enhanced performance tools.
529
:There's a lot of debate around this,
but AI can be less subjective when it
530
:comes to performance the tools that we're
currently looking at can pull data from
531
:a lot of areas and make recommendations.
532
:And I think at a minimum,
it's going to make the leader
533
:stop and go, you know what?
534
:That's probably correct.
535
:Thomas: That's an
interesting can of worms.
536
:Is AI more or less objective than
a human in its very context and
537
:model dependent, I'm sure the answer
there, but it's just intriguing
538
:that we can even ask that question.
539
:So yeah.
540
:There's so much value if you get it
right on the performance management side.
541
:But when you're talking about
that, my mind went to just your
542
:previous point immediately was...
543
:imagine now it's a higher stake, right?
544
:So if you're delivering L&D course
with some AI like looking wording
545
:in there that's one thing you're
telling someone you're probably
546
:going to go on a performance
improvement plan through AI writing.
547
:That's like a whole other impact
from the customer standpoint, you
548
:really have to guard against, right?
549
:If you're zooming out then a little bit
with me then, and we're just talking
550
:about the future in general, you have
so many different examples of ways that
551
:you're executing area by area, trying
different things and going with AI.
552
:What do you think, and that's a
crux of a lot of what we think about
553
:on the Future Proof HR podcast.
554
:What is the HR function in
the future like look like?
555
:What skills are important or
what's less and more expressed?
556
:How's it all shifting?
557
:Stefani: Yes, I continue
to be asked this question.
558
:And
559
:I think I see HR as a little bit
different over the last five years.
560
:I think the industry has seen it.
561
:Thomas: You mean pre AI revolution,
are you talking about COVID pandemic?
562
:Tell me about that first, then
we can talk about this next one.
563
:Stefani: Yeah.
564
:And I think I mentioned this when
I first met with you around HR is
565
:not a checklist admin function,
I have not seen it that way.
566
:And I think AI is just adding fuel to
this fire that has been within me of guys,
567
:we are not this is what we actually are.
568
:I've always felt HR
569
:is way more than what it's
given credit for a lot of times.
570
:And I'm fortunate at Propio that
I've been supported and been able
571
:to carry out that vision around.
572
:Propio HR is really
embedded in the business.
573
:We understand the business goals.
574
:We can anticipate their needs.
575
:We can help them drive impact
through their growth and performance.
576
:And so it's not just about ensuring simply
their compliance or processing forms.
577
:It's building on capabilities.
578
:It's strengthening our leadership team.
579
:And really it's helping to create
580
:programs or processes or
whatever it is that help the
581
:people perform at their best.
582
:And AI is just adding a fuel to that.
583
:And in a way it's catching up to where my
mind's at I've spent over the last five
584
:years, but AI is fundamentally shifting
HR from administrative to strategic.
585
:There is no way around that.
586
:And the real opportunity
is about replacing people.
587
:It's about amplifying the human community.
588
:I have always said it's not
employees, they're human capital.
589
:It is the most important
thing to a business.
590
:So AI is really just amplifying
the human capital's capabilities.
591
:And we are seeing, especially
Propio, we are seeing AI as a tool to
592
:streamline some of that routine work.
593
:The teams can focus on
higher value initiatives.
594
:And that's where I think
a lot of HR leaders and HR
595
:professionals are scared of AI.
596
:It's replacing my job.
597
:It's not.
598
:It's bringing you up to be more strategic.
599
:It's bringing you up to be a partner.
600
:It's allowing you to provide talent
strategy to an organization and
601
:driving culture and being in a
leadership development opportunity.
602
:It allows us to move much
faster, analyze data a lot more
603
:and a lot more intelligently.
604
:I just had somebody the other day
that said, I never trusted HR with
605
:numbers before you and before your
leadership here at Propio I didn't
606
:trust HR as far as their numbers go.
607
:That is going to get better because of AI.
608
:If HR leaders allow it to happen,
they are able to become a different
609
:version of themselves to the business.
610
:They're able to be that
person that has their numbers.
611
:Be able to provide insights
that we never were able to
612
:provide or would have provided.
613
:Would have taken us hours and days
to provide any sort of insights
614
:that may or may not be wrong.
615
:Now we don't have to do that.
616
:Thomas: I think your talent acquisition
implementation is an example of that.
617
:First of all, you're getting data and
you can say, no, really this is brought
618
:up in 80 % of the time in this market
when we're hiring for this role, they
619
:keep mentioning PTO and here is the data.
620
:It's hard to question that versus the
same conversation would have been, like
621
:the recruiters keep, we keep hearing this
and a couple of our key managers agree.
622
:So let's put this big investment
in to change the policy
623
:that would help us close.
624
:Or it's a very different conversation.
625
:Stefani: And I told my team, said,
HR will really in the future be
626
:defined as how can we effectively
blend technology and empathy?
627
:We can never lose the empathy
component of our world.
628
:How can we blend that technology and
the empathy and really use AI for
629
:efficiency versus human connection?
630
:Thomas: So you mentioned then it's going
to be less administrative as a function.
631
:But the way I see it is
that's not going away.
632
:The administration needs to happen, right?
633
:People need to be the hiring and firing
and like the benefits and all that.
634
:Do we agree that it's we're stacking on
top of that, but that's actually possible.
635
:So we're going up higher up the hierarchy
of needs for the organization, but
636
:we've never been able to get there, but
this stuff doesn't really disappear.
637
:it?
638
:Stefani: It doesn't disappear.
639
:But I think it's because of these tools,
we're able to do it quicker and we're
640
:able to add and in some ways we're
able to set up the systems to do it.
641
:And so instead of me going in and changing
this system, this and this, or my team
642
:going in and having a five step process,
this system is able to do that for them.
643
:They still need to check in.
644
:We're not going to get away from
I-9s or W-4s or whatever it is.
645
:Those are always going to be there.
646
:But the systems are making
them move much more quickly.
647
:And so the team, I think, are
still doing those, but the time
648
:it takes them is so much less.
649
:And so they're.
650
:They have so much extra capacity now
to where they can be those strategic
651
:partners to the business and understand
the business at a deeper level
652
:than we've been able to understand
653
:it before.
654
:Thomas: I love that.
655
:So can I ask also about just
the future of work a little bit?
656
:I think earlier when we
were talking about how
657
:the employer-employee relationship,
it might be shifting and it
658
:changes over the life cycle of an
employee of an employment period.
659
:And sometimes employees grow with
the company as a company shifting,
660
:or sometimes you grow apart.
661
:This is all, guess, age old, like people
leadership stuff, but how do you handle
662
:these kinds of conversations around
ensuring that as a company's pace is
663
:so in terms of changes so fast, right?
664
:What you're describing, which in
terms of employee growth, tooling
665
:mindset shifts, like process changes,
it's a lot that's like happening.
666
:You're throwing at people.
667
:How do you balance that with just ensuring
that you're bringing people along and
668
:having the right conversations to help
people grow into or out of appropriately?
669
:Stefani: Yeah, that conversation
is one I have, I shouldn't say
670
:I never shied away from it.
671
:I think early on in my career, I was
in the, my gosh, we lost a person.
672
:What are we going to do mindset?
673
:And I really shifted away from that.
674
:And now anybody that has gone
through an interview with me at
675
:Perprio, I have said the same line.
676
:This place, it's not
the place for everybody.
677
:And I'm okay with that.
678
:I tell people if you want a manual
that I can pull off of a shelf and
679
:say, this is how we've always done it.
680
:This is how you're going to do it.
681
:This is exactly the key to success.
682
:Harbor is not the right place for you.
683
:And I know that there's talent out there
that are phenomenal at what they do,
684
:but it's not the right place for them.
685
:I've had people on my
team since I've been here.
686
:I'm like, you're a great person.
687
:I think you're great for a
business, just not this business.
688
:And so I think that can be scary
because sometimes turnover is
689
:looked poorly upon as a leader.
690
:It's not always now, obviously I could
go down a rabbit hole of when it is.
691
:But it's not always.
692
:So I think the way that I handled it,
and especially at Propio is just with
693
:honesty and transparency and respect.
694
:I've brought people
along said, here's why.
695
:My team knows all the changes we're
making, why we're making them.
696
:Pros and cons to it.
697
:I try to approach them very self-aware.
698
:I know this isn't going to
be a perfect change for us.
699
:I know this might give you a headache
or a little bit of heartburn here.
700
:I'm through this with you guys.
701
:And so I've been very
transparent with them on the
702
:changes that we've had to make.
703
:But also when team members have come
to me or I've had to have conversations
704
:with team members, I don't feel
like you're loving this anymore.
705
:Let's talk about that because
I want them to succeed.
706
:I think unhappy people do unhappy work.
707
:And that's not good for them.
708
:And it's not good for Propio.
709
:And I just want to have
that conversation with them.
710
:If one of my team members says,
you know what, I don't, I can't
711
:handle the change anymore.
712
:Okay, the acquisitions are getting to me.
713
:Okay, I get that.
714
:I understand it.
715
:And let's figure out a way that we
can support you on your way out.
716
:You can support us on your way out.
717
:Let's do this together.
718
:And so I think being able to
listen to this is hard on me.
719
:It is hard.
720
:You never want to hear an employee say,
of this change is driving me crazy.
721
:That's hard to hear because
the leaders were excited about
722
:it and were ready to do it.
723
:But I think if you can say, I did it.
724
:Look, it's a lot and it's not a good
fit for you, then you're putting
725
:yourself, the business and that
employee in a better position.
726
:Thomas: Yeah, that's
tough, but transparent.
727
:The
728
:thing I'm thinking about is
if that's like the posture.
729
:How do you stay people first, right?
730
:Which is a big part of the ethos where
really what we're talking about is
731
:a rapid acceleration of change that
everyone is experiencing throughout the
732
:world, but certainly in the workplace.
733
:But really a lot of that is being
driven by the AI enablement of
734
:so many things like shifting.
735
:Is there like a universal skillset
that is going to come into the fore
736
:for everyone across every company?
737
:I know you're commenting of
course about your organization and
738
:what you're like seeing through.
739
:But if you're stepping back out and
reflecting a little bit, generally
740
:speaking, what is it going to be
meaning for any HR leader where
741
:many of us are committed to being
people first and investing in the
742
:people in an AI enabled world?
743
:Stefani: Yeah, it's a great question.
744
:And I think when I look at it, I
do not see AI as replacing people.
745
:And everything that we are doing
with AI, we're asking what is
746
:the impact on the employees?
747
:What is the impact on the client?
748
:What is the impact on the end user?
749
:And so I think as long as you don't
lose sight of the people first,
750
:you're able to successfully do it.
751
:And I say people operate AI.
752
:And that's what I tell
my team all the time.
753
:I said, we've got to have a team
that can operate the machines
754
:that are doing all of these tasks.
755
:And people are the ones that
are coming up with the ideas.
756
:A machine didn't tell our executive
team, here's what you guys should
757
:do over the next 12 months.
758
:We had to come up with those ideas.
759
:And so what I really spent my time on
is what I mentioned earlier with my
760
:team is how is a person receiving this?
761
:It might've been done
in a third of the time.
762
:Great for you.
763
:But if it makes a person not
feel good, you've lost them.
764
:And my team hears these two
words more than anything.
765
:What is the experience?
766
:It's people experience.
767
:And that is what I will always do.
768
:So when we're sitting, going through
and we're building the responses,
769
:we're building the automations,
we're building out all these things.
770
:How would you feel if you got that?
771
:I think I'm probably the negative
Nellie in all of these implementation
772
:calls of I wouldn't love that.
773
:And also we've all sat on Amazon
or target or whoever's chat bot
774
:trying to return something and we
all have wanted to throw our phones
775
:out the car window while doing so.
776
:I just remember-
777
:yelling
778
:Thomas: like a decade ago,
yelling operator into the phone.
779
:Stefani: Yes.
780
:I just want an agent.
781
:Yes.
782
:bring those examples up to my
team all the time of I never want
783
:our employees to feel like that.
784
:At the end of the day, our team is
literally called the people team.
785
:We can never forget that.
786
:Thomas: Absolutely.
787
:As you look ahead and as our time is
closing out here, what are some things
788
:that you're like really excited about the
next stage of growth and transformation
789
:at Propio or for the HR team?
790
:Stefani: It's what I don't know.
791
:That's honestly what I'm so excited
about is it is I describe Propio
792
:as a good type of crazy and it
will always ring true to me.
793
:I don't know what is next.
794
:I don't think we had a great idea, our CEO
might tell me different, but I don't think
795
:that we had this thought that we would be
able to do for acquisitions in 18 months.
796
:I don't think any of us thought that.
797
:I didn't think that we would be able
to completely retool and function the
798
:HR team within less than two years.
799
:And those things were not
always on the roadmap, but they
800
:were opportunities that came.
801
:And so for me, what I'm most excited
about for my team, for Propio as
802
:a whole, and for the HR industry
is we don't know what's coming.
803
:None of us saw COVID.
804
:I'm sure somebody saw AI, I
did not see AI coming at the
805
:speed in which it came to us.
806
:So it's just having the mentality and
loving what I do so much of I don't
807
:know what's going to get thrown at us.
808
:Let's figure this out together.
809
:We might have a headache after that
day, but we're going to figure it out.
810
:I think is what I'm most excited for.
811
:Just we don't know what's coming and I
can't wait to see what's in store for us.
812
:Thomas: Absolutely.
813
:I think that is a great thought as
any to end this conversation Stefani.
814
:Because the future is unwritten, there
is a lot we can learn from all of
815
:these different projects that you've
gone through, both from the executive
816
:alignment to change management
and how you thought about that.
817
:Not just top down, but also bottom up and
how you've also rolled up your sleeves
818
:into getting into specific projects.
819
:We went to some great examples
across the employee life
820
:cycle and HR programs, right?
821
:There's no dearth of
822
:projects or ideas, right?
823
:For ways that people, depending
on the journey they're on and the
824
:phase of the organization where they
can't find some room to experiment.
825
:And I love your focus on mindset,
because that came up a bunch around
826
:like what you're expecting from
the employee population, as well as
827
:the HR team to actually move things
forward and all the nuances associated
828
:with the communication, right?
829
:From the leadership position and the
HR team more broadly in interaction
830
:with the overall organization.
831
:Thank you for sharing all this.
832
:And you say you're a negative
Nelly, but on the other hand, you're
833
:also pushing to try everything.
834
:But I guess it's two
sides of the same coin.
835
:Like we got to try everything,
but that's a fail fast, right?
836
:But we got to be open to really evaluating
whether this is working for us or
837
:not, but we got to keep evaluating.
838
:And I suspect as you keep doing that,
the muscle just gets built and she
839
:just, the whole team just gets better
at it and more efficient at it.
840
:And it gets more fun, hopefully.
841
:And less of those days with
headaches, as you mentioned.
842
:Thank you for this conversation.
843
:For everyone who's listening out
there and who's looking at ways to
844
:future-proof their own organizations
and their own HR functions.
845
:I think there are several nuggets.
846
:Hopefully you have taken away from
this chat and to Stefani once again,
847
:thank you for this conversation
and see you on the next one.
848
:Bye now.
849
:Thanks for joining us on this
episode of Future Proof HR.
850
:If you like the discussion, make
sure you leave us a five star
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:review on the platform you're
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:Or share this with a friend or colleague
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853
:See you next time as we keep our pulse on
how we can all thrive in the age on AI.