In this special live episode of the Future Proof HR podcast, recorded on the floor at Transform 2026 in Las Vegas, Thomas Kunjappu sat down with Laura Brittingham, SVP of People at Prove, for a candid conversation about what AI actually looks like in practice for a scaling HR team and what it means for the function's strategic future.
Prove is a leading provider of identity verification and authentication solutions, trusted by 19 of the top 20 US banks and 1,500 top brands globally. Laura joined less than a year ago with no background in identity, and she's been using that fresh perspective to rethink how HR can drive clarity, speed, and scale across the business.
They got into how Laura is using AI to compress a months-long org design effort into seconds, why her mission this year is to make every employee an expert on Prove's products and industry, and why HR leaders who lean into building with agentic tools will define what the function looks like next.
Topics Discussed:
Additional Resources:
And we are live again at Transform HR talking
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:about future proof in HR.
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:So here we are with Laura
Brittingham, the SVP of People at
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:Laura Brittingham: Prove
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:Thomas Kunjappu: And tell us a
little bit about what Prove does.
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:Laura Brittingham: Yeah, so Prove
is a leading provider of identity
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:verification and authentication solutions.
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:Verifying real people, businesses,
and agents in real time.
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:To create more secure and
frictionless digital interactions.
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:We're trusted by 19 out of
the top 20 US banks and 1,500
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:top brands across the globe.
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:And we're trusted by them because
we help them create smoother
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:onboarding experiences, reduce
fraud, and grow in a predictable way.
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:Thomas Kunjappu: So let's figure
out how you can prove yourself.
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:for everyone out there about
how you're future proofing, the
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:organization as well as HR itself.
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:So tell me a little bit about any
kind of AI initiative that you've
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:taken on at the organization?
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:Laura Brittingham: We were joking that I
thought about canceling this a bunch of
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:times because I sit in these audiences
here and I feel like we're using it
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:for fairly basic stuff right now.
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:Our major use case today is
increasing processing power.
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:Initiative, right now we're creating
a remit directory for the company.
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:And we have JD's, we have this little
description here, we have this like
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:table comparing different roles and
just using AI to plug all that stuff in
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:and say okay, take all of these inputs
and make it into a nice succinct remit.
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:And describe it for me.
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:What would take hours of time, just
like reading through all of those things
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:and processing it is done in seconds.
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:And now I can take a strategic step of
saying, okay, now I'm looking at all
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:these remits and what overlaps, what
should this role be doing versus how
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:it's described today in the business?
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:And it speeds up these projects
that used to take months and
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:months to get out the door.
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:So that's like really
where we're using it today.
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:Another one that we haven't started
yet, but my mission for this year is to
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:make every Prover and expert improve.
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:So that means being an expert in
our products, being an expert in
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:our business, our industry, the
competitive landscape, our culture.
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:I've been at the company for a
little bit under a year, and I
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:have no background in identity.
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:Even for me, it's a little tough, right?
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:Like we have this, we talk about
internally it takes people at least
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:nine months to like really get
familiar with the space and what we do.
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:And I think AI could be a really great
use case for even just developing
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:content and saying okay, go out there
and collect all this information and
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:now make it succinct and digestible
for our employees to kind of ramp up.
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:Thomas Kunjappu: I love this.
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:There's two different like use cases
I wanna dig into both 'cause it's
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:very interesting and different.
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:So on the first one, did I get that right?
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:So you're really talking about
the talent acquisition funnel.
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:So where you're at the point of creating
the job descriptions or like the remits
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:or is it more about project based
roles, which is more about someone,
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:the tail end of the sales process.
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:Laura Brittingham: I think this happens
a lot in scaling companies, right?
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:You start really small, you have a bunch
of people who are really scrappy and they
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:get their hands in everything, and they're
willing to do whatever it takes to help.
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:A company to be successful and then all
of a sudden you're 400 people and there's
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:overlap between roles and there's people
like calling this role that thing because
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:that's what they decided to call it.
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:And what does that actually mean?
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:What does this person actually do?
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:We have I think 200 unique titles
across the business, like what
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:does each of these roles do?
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:Should we consolidate some?
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:So it's really a project about
figuring out where those lines are.
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:I think for me, culturally, it's so
important that people have autonomy
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:and ownership, but how can you take
real ownership if you don't know that
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:you are truly the owner of this thing?
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:You're not sure if that person over
there is doing it or that person,
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:like where are the lines playing?
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:Thomas Kunjappu: And you have
a lot of coordination costs.
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:If for any given project or a percentage
of them people are competing or
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:trying to figure out who to, how do
we not step on each other's feet?
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:So it's almost like a flavor of a
career laddering or I know but you
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:can't do a career ladder without knowing
what the titles and the ladders are.
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:But that first step, almost
understanding the landscape today.
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:You're leveraging AI to dramatically
get faster at Saying here are
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:the 200 different things and
here's like the overlap for that.
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:So what...
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:Laura Brittingham: Is like, let's
get clarity first and figure out
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:what the actual landscape looks like.
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:Thomas Kunjappu: So what's been
the impact of that of that for
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:your team and even more broadly,
like your internal stakeholders.
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:'Cause I imagine that it's starting
up those conversations with managers
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:like in a faster way, right?
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:Laura Brittingham: So we
haven't rolled it out yet.
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:It's still like we're in the process
of creating all of the remits still.
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:But the impact for me has been, I
literally would've been spending
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:months building out this project,
or someone on my team would've been.
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:And now it literally takes seconds.
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:Plug in all these different
inputs and have a remit built out.
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:So the time back and the time
being able to be more strategic
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:about it is really impactful.
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:And I think the impact that I hope
to make with the project generally
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:is that we create a lot more clarity
across the business and the people
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:can just run with their jobs, right?
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:Like we can understand and who
to go to for what and really
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:define that across the board.
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:Thomas Kunjappu: I love that.
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:And I think an underlying at an
abstraction layer higher than that
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:outcome, I think I'm seeing across
like HR teams is you may have never
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:done this project, or if you did,
you're paying consultants, or it's
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:gonna be a full-time job for someone
on the team for three months.
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:And then you're saying,
is this a priority?
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:Or maybe next year, or let's
do it in this hacky way.
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:Or we'll just focus on this one function
and try to get them straight and next
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:year we'll figure out like the rest.
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:So just like speeds up execution
of course, but also even your
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:aperture for appetite to just do
things that you maybe consider
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:maybe not possible before.
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:Laura Brittingham: Yeah,
it's really interesting.
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:There was a session yesterday where
the question was posed about what
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:would you do if your CEO's coming to
you and asking you to cut 50% of the
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:headcount and replace it with AI stuff?
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:And my reaction is there's so
much that we could be doing.
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:There's so much like if you are able to
take a lot of the admin work, really speed
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:people up by using AI, think about how
much more the company could be achieving
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:and how much if you're putting these
people on strategic initiatives and really
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:thinking about how to push the company
forward and interesting new ways, how
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:much benefit that has for the company.
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:So like, don't jump straight
to cutting a bunch of heads.
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:Think about how do we implement
this stuff to get even more like
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:10x the impact of the business.
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:Instead of just let's keep the impact
of the business by cutting a bunch
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:of people and replacing it with AI.
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:Thomas Kunjappu: But it's
a great thought exercise.
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:'Cause it is almost like to debate that
like with yourself without it actually
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:happening to you and having a proactive
plan in place for like where you want to
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:go with not just your team, but also how
you're enabling the entire organization.
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:It's interesting.
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:And actually that goes a little bit to
your second project, which is you're
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:enabling the entire organization to
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:be experts at the company almost.
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:So it's like this big L&D project
that like you're, pushing for.
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:So that's interesting.
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:And then that plus all
of the learnings here.
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:What are you excited about?
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:Maybe I can just put it all
together for the future.
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:what do you see is like next in terms
of just AI transformation for your team?
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:Laura Brittingham: I think especially
being here we're so excited to
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:just keep leaning in even more.
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:I think for me, I'm noticing the
biggest gap is I wanna learn how
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:to make agents and how to build
my own tools and stuff like that.
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:So I feel like there's just
so much possibility of what HR
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:teams can do using these tools.
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:So I'm super excited about that.
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:And I think by using some, like helping it
to reduce processing power or take up some
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:of that processing power and open up...
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:the space to really experiment.
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:I mean, I think another interesting
thing that I'm taking away from this
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:week is so many people talking about you
need to create space for your team to
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:be able to experiment with this stuff.
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:And I think using AI to help you
process and speed up on some of these
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:like tasks where you just have to
think really critically about things.
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:That in itself, like that's a
pretty simple way you write good
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:prompts, you plug it into Gemini
or ChatGPT, whatever you're using.
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:And that in itself can help open up space
in your calendar to be experimenting
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:with the more complicated things.
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:Thomas Kunjappu: That transformation,
that you're talking about, and we always
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:talk about future-proofing HR, that
seems like it's like a direct answer
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:to that It seems like you're also like
turning your team into builders, right?
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:And yourself into...
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:you're like solving problems with agentic.
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:That's a hot word that's
happening everywhere.
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:All over the conference and
certainly a big part of like what
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:I see and like doing my day job.
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:So if that's like the future then, what
do you think about the HR function itself?
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:Kind of going back to your question
about that terrible question from
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:the CEO and like that kind of state.
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:How do you see the...
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:like you and like the HR team
evolving into the future?
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:When you say room for more strategic
stuff, what are those things that you
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:feel like the function can make a bigger
impact on the overall organization?
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:Laura Brittingham: I've always felt
like companies who are more successful
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:are thinking about HR strategically
and thinking about that function.
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:As a strategic arm of the company, right?
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:If your HR is just there to check
the boxes and run payroll and
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:stuff like that you're not really
leveraging it as well as you could be.
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:And so I think the more space
we open up for these people
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:to be strategic, the better.
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:People at the end of the day, like you
can't, maybe there's a future where
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:there's a company completely run by
AI and there's no humans, but I don't
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:really think that is gonna happen.
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:I think you're still gonna
have humans in the mix.
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:And at the end of the day, humans are
gonna be the best people to understand
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:humans and have that interface.
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:And being strategic about how you
leverage humans and you engage them and
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:you take care of them is so important.
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:That's the stuff that we do
best when we're strategic.
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:Thomas Kunjappu: Absolutely.
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:Thank you for sharing that.
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:Before we wrap up, I have to ask if
there's any tactical, reactive or
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:administrative task that with a magic
wand you and your team handles today that
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:you could just wipe away assuming it's
possible with AI, what comes to mind?
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:Laura Brittingham: Oh my gosh.
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:Like a million things.
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:I could give you a laundry list.
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:I I see some of the vendors here
already doing this, but like
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:employment verification, like you
get a million emails from people.
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:I think for me, a frustrating one is
often when people are having problems
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:with like their healthcare stuff and
it's just so frustrating to navigate.
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:Like you call this rep and they
give you one answer and that rep
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:and they give you another answer.
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:And like navigating all of that.
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:And I feel like as HR people, like
we care about people so much, so
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:we're like stepping in and we're
trying to do the work for them.
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:And I feel like making that more seamless
and easier for people would be so amazing.
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:I often see in teams that we're the
support where like if everything's
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:going well, no one notices because
we're keeping the wheels on the bus.
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:And so I think there's
just so much opportunity...
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:Thomas Kunjappu: but it can
also be thankless, right?
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:Yeah.
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:It's kind this hidden work.
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:Totally in the shadows,
but it needs to happen.
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:If you want to have ultimately
impact employee engagement and
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:performance to some degree.
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:The benefits one is a
very interesting one.
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:Like everyone boasts about the
incredible benefits that they
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:offer and then when you're at the
point of claim or need to use it...
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:Laura Brittingham:
Healthcare system is so...
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:Thomas Kunjappu: Yeah, and that's a
broader conversation which we can...
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:Laura Brittingham: another
like half an hour that
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:Thomas Kunjappu: We can talk
about that and the HR team can
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:impact it only like you can impact
like a piece of that corner.
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:But that's about it.
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:So thank you for sharing a
couple of these examples.
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:If people wanna stay connected with
you or follow your journey as you're
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:doing all of this, how can they do that?
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:Laura Brittingham: I'm on
LinkedIn, Laura Brittingham
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:That's really the main
way to catch up with me.
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:Thomas Kunjappu: Okay.
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:Well, thank you for taking a
moment to talk about future
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:proofing HR here at Transform 2026.
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:Thanks for joining us on this
episode of Future Proof HR.
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:See you next time as we keep our pulse on
how we can all thrive in the age of AI.