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Katrina Ali on Why AI Will Make HR More Human
Episode 7919th June 2026 • Future Proof HR • Thomas Kunjappu
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In this episode of the Future Proof HR podcast, Thomas Kunjappu sits down with Katrina Ali, Head of Human Resources at Freebee, to talk about how HR can move from AI skepticism to practical action while keeping people at the center of the function.

Katrina shares how her perspective shifted as AI moved from a tech conversation to a workplace conversation. After hearing questions from employees and seeing uncertainty across the HR community, she worked with legal counsel and the C-suite to establish company-wide AI usage guidance and help employees understand how to use AI responsibly.

The conversation gets practical with examples from Katrina's HR team, including how they used automation in ClickUp to streamline onboarding and offboarding workflows. Instead of treating AI as a replacement for HR, Katrina frames it as a way to remove repetitive work so HR teams can spend more time on strategy, culture, manager coaching, employee experience, and trust-building.

Katrina also talks about what HR leaders need to prove to the C-suite in an AI-enabled workplace, why future HR talent needs both people skills and technology fluency, and how benefits and wellness investments can help growing companies attract and retain employees.

Topics Discussed:

  • How Katrina moved from AI skepticism to action in HR
  • Why AI conversations quickly became workplace conversations, not just tech conversations
  • How HR partnered with legal and the C-suite to create responsible AI usage policies
  • Why employees need clear guidance on when and how to use AI
  • How Katrina challenged her HR team to find automation opportunities in their own workflows
  • How ClickUp helped streamline onboarding and offboarding tasks
  • Why removing repetitive HR work can make the function more human
  • How HR can explain its value to operations-focused executive teams
  • Why AI cannot replace human judgment, empathy, trust, and employee support
  • What future HR leaders need to balance: technology fluency, data, strategy, and people skills
  • Why HR professionals cannot leave AI entirely to the technology team
  • How benefits, 401(k), and wellness programs support retention in a growing company

If you are an HR leader trying to move your team from uncertainty to practical AI adoption, this episode offers a grounded look at how to start small, build internal confidence, and use automation to create more space for strategic and human work.

Additional Resources:

Transcripts

Katrina Ali:

AI isn't here to replace people, right?

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It's here to remove repetitive work.

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it can't replace the HUMAN JUDGEMENT

and EMPATHY that HR requires

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and what

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Katherina Ali: does is free

up time instead of spending

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hours on administrative tasks.

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HR teams can focus more on

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the strategy The Strategy

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The Culture

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The Employee Experience

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because at the end of the day

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The heart of HR is always people

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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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Hello and welcome to the Future Proof

HR podcast, where we explore how forward

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thinking HR leaders are preparing for

disruption and redefining what it means

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to lead people in a changing world.

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I'm your host, Thomas Kunjappu

Today's guest is Katherina Ali,

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Head of human Resources at Freebee.

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Katherina leads HR for a fast-growing

organization has been at the center of

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multiple transformations for modernizing

benefits policies to re-engineering

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HR workflows with automation and ai.

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What makes Katherina's story compelling,

I think you will find is how quickly

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she's moved from AI skepticism

to action in a span of months.

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She's helped establish company-wide AI

usage policies, partnered with legal

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and C-Suite, and challenged her team

to redesign everyday processes, turning

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manual systems into scalable ones.

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Her approach reflects a core belief,

which is that AI isn't here to

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replace hr, but to free it up for

more strategic and human work.

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Welcome to the podcast.

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Katherina Ali: Thank you for having me.

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It's a pleasure to be here.

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Thomas Kunjappu: Absolutely.

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really cool company.

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Could you tell us about, the journey?

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So how small was it when you were with

it and in the beginning because that

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evolution gives us some context, I

think for the rest of our conversation.

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Katrina Ali: Of course.

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So when I started with the company, it

was in:

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It was only myself, first it was like

an HR person that was there and then

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they left, and then it was just me

and we started growing really fast

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and like building that department.

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We're now at, today we're at about.

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500 and 80 something, I wanna say

86 employees were growing really

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fast, had to build out all the,

like the department had to build

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out all the structure, the coaching.

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So it's, I would say it's very much

exhilarating for me to have this type of

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experience and to be with the company.

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Thomas Kunjappu: And it's really

interesting because this company, the

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whole experience is in the post COVID era.

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And in fact, that's part of

what the, company itself does,

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which, I think it's, really cool.

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It's like worth a mention

because it's like a really

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interesting consumer, company.

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Could you share a little bit

about what a Freebee does and if,

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anyone out there is like listening

where they can get in a ride?

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Katrina Ali: Yes, of course.

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So we are a electric

transportation company.

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We're eco-friendly.

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We take pride in, of course, our

passengers,, it's completely free.

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So you just, you download the app, the

Freebee app, and once you're within

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the geofence, you can request a ride.

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So we're similar to any transportation,

you download the app, you request a ride.

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But it cannot take you from, say we're

in Aventura to North Miami Beach.

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Every city has its own geofence, and

so you have to be within that geofence.

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You can't go from city to city, but you

can go within areas within the city.

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Thomas Kunjappu: That's great.

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And then you end up working with

cities right themselves to enable

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this, which is a really cool model for.

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Like working with local governments

in enabling transportation.

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And so as you scale into different places,

beyond Miami, I'm sure on the HR side,

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there's been a lot of, a lot of changes.

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Katrina Ali: Yeah.

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Thomas Kunjappu: Now, I would, we'll come

back to that as a broader HR team, but for

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you specifically on a personal level, when

we're, chatting before, you had a, an oh

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wow moment with, with AI at some point.

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Katrina Ali: Yes, definitely.

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So at first going into like with

everything coming to, coming

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about, at first it was just like.

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When we heard about ChatGPT,

it felt a little experimental.

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People were curious about

playing around with it.

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It didn't feel like, it didn't immediately

feel like something that will be part

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of the everyday HR work, but what really

shifted my perspective was, seeing

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how quickly it was evolving and how

much, time it could save when there's

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certain things that we do consistently,

like documentation, communication,

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analysis, and even like idea generation.

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So at the same time I started

attending like networking events

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and conferences and it was.

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A discussion that was more like, it moved

from being more tech discussion to more of

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like, how is this changing the workplace?

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And what stood out to me is that a

lot of HR professionals was a bit

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unsure because there was no type of

guidance on what to do, how to use it.

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So for me it was just like an awakening.

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I need to get on board with this.

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I need to do a little of my own

experiments, make sure that I can

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prepare my team and my company to, start

to adapt to this transition because I

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didn't know where it was gonna go and.

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That's what I went back, I went into,

I dug into it and started like looking

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at different things and first I started

using it as email responses, just the

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little things and then making sure like

I was able to address it with the team.

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Thomas Kunjappu: So at the beginning

when it became impossible to ignore,

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what were the, what, I guess what, even

before the, what you did specifically,

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you already got into some use

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Katrina Ali: Yeah.

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Thomas Kunjappu: I ideas, but I'm

curious what is it that, solidified it

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in your mind to say, oh yeah, this is.

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We can't, ignore,

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Katrina Ali: It is just like every

networking and every conference is just

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like AI and vibe coding and what are

we doing and is it gonna replace jobs?

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And like how do we use it?

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And I'm just like, how this is

just it's like all over the place.

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Like it's a bit overwhelming and.

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I need to teach myself on how to do it.

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Because at first I'm just

like, who is responsible for

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rolling this out to the company?

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Is it the C-Suite team?

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Is it the operations team?

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And it's was HR, like, it

was encompassing everything.

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Thomas Kunjappu: Yeah.

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If you have to ask the

question, wait, who?

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And you're looking

around, it's there you go.

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You can yeah.

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Guess where that ends up at?

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But that's almost like

another phase, right?

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Which is oh, we need to roll this out.

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We need to have a policy.

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We need to, do all that.

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How did you, in your

organization, end up going from.

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This is impossible to ignore, to,

okay, we have a policy and we have

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like more structure and we're gonna go

into it both on the HR team and also

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more broadly across the functions.

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How did that evolution happen?

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Katrina Ali: So at first we had, I

had based on, other than the network

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events, I had him, my employees asking

about it and asking what it means.

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What does it mean for them?

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What does it mean for the company?

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Because they're hearing it from, their

friends and their other work colleagues.

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And so with that, I was able to,

reach out to my legal counsel and

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just talk about, what was going on,

what the noise that I was hearing.

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In that sense, and how can I prepare

my my C-Suite team and the company

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into making sure that when we use it

responsibly and that we have because

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everything is recorded, right?

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So we wanna make sure.

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How we're using it and the information

that we're putting in, it's what

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we should be putting and it doesn't

cause any liability for the company.

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So with that, got together with my legal

counsel and we created a AI usage policy.

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And then with that I was able

to, first talk to my C-suite.

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Team and make sure that they,

how they feel comfortable with

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the policy and get their approval

to roll it out to the employees.

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And that was the next step, rolling

out to the employees, making sure that

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they understand how to use it, when

to use it, what it's, what to use it

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for, which is of course leading to

what's mitigating the mundane tasks.

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Like we have a lot of, especially in

hr, we have a lot of administrative

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tasks and this was something that

can free up Our workload and make

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our work more efficient and more

effective in what we do in day-to-day

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Yeah, let's talk more about the HR

specific, set of use cases, right?

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So how did you go from for

the HR team specifically?

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from okay, we have a policy and

like now we need to convert that

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into real, hopefully outcomes.

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What was that process to, and in fact,

even in the HR team, just like with,

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Any employee population, you have some

folks who are all in and interested and

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wanting to innovate, and others who are

all fear and all like against it, maybe

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even philoso, philosophically, how do you

navigate that, if this, if such a dynamic

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existed within the HR team to get to the

point where you're actually, working with.

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Katherina Ali: I actually love

telling this story because it is

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one of my oh wow moment oh my gosh,

like a proud moment for my team.

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So while, based on me first experimenting

and seeing how it works, my first.

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To get the buy-in from the

team and for them to understand

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it, especially to use it.

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I didn't want it to be like a top

down this is how you use a program.

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Like a directive.

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I wanted to challenge them so that

they can fully understand it, because

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sometimes, most times, like we, I.

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We are told to do something, but when

we're the ones in charge of doing

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it, we really understand the reason

why behind it and it empowers us.

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And that's what I'm all

about, empower my team.

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So I had a meeting with 'em and

my team of six and I sat down

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with 'em like, Hey, this is what's

going on and we need to get ahead.

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We need to start using AI, and we need

to start seeing based on what we do in

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our workflow, how does this benefit you?

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How can you, each one of you.

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Get together, like separately or together.

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But I want each one of you to look at

what you do on a day to day and how

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it will work, how AI and automation

can integrate in that workflow to

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make, to make your workflow more

efficient and more effective, and

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save you time to do other stuff.

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Other projects, and, they all went ahead.

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I gave them a deadline and then I

had another meeting, ordered food

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for them, like a lunch and learn.

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And we sat there and they each

presented their own thing.

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And one was, my onboarding specialist,

did this whole great thing of automation

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with the workflow on our system called

a task management system called Clickup.

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First I was, with onboarding

specifically, which was like a big thing.

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so a lot of like repetitive tasks

where you send like emails and stuff

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was on spreadsheet and following up

with the driver and the documents,

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and sometimes things can get lost.

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But with this AI automation.

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She was able to build like a thing in

Clickup where, you put the name in and

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it goes straight into the week of the

onboarding, and then you can just, you set

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up the prompts where it sends the email

When you click the button, it's amazing.

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You click a button and it sends an email

of who the manager is, the platforms that

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they need to download the next steps.

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And then from that it

goes into the I nine.

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And then when the I nine is completed

based on the integration from

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our HRI system, it automatically

moves it to the next step.

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So that was amazing.

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And also was like another

one was the offboarding.

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That was another thing

that was on spreadsheets.

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and the term reason, the term date.

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And we were able to also do it on Clickup

'cause it was linked to the onboarding.

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So when the, on like the employees

are no longer with us, we put like a

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termination date and it automatically

populates with the AI automation

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into the onboarding offboarding board

where it generates the term date.

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The, email for the employee to click

another button where it sends an

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exit interview and the, term date.

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Thomas Kunjappu: So all these are

just manual steps otherwise, that the

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whole team is going through and it

strikes me that, at least a significant

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portion of the example, and I love

that we're getting so concrete, right?

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Within onboarding and offboarding.

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it's really even just the automation

layer, which kind of proceeded,

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I would argue, the AI layer, but.

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I wonder if a big piece of AI in this

specific project is the confidence and

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capability for your team to go in and get

to this level of depth automation because.

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The, which maybe otherwise would take,

some kind of, you're, you have to deal

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with and understand APIs and be a software

engineer and get to that kind of level.

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But now it's actually democratizing

some of those things that were, would

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take hours and, training and, just work

experience to be comfortable with that

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can actually go to, more HR generalists.

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Would you say that's part of

the like how this came to be?

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Katherina Ali: Yes I definitely,

because again, like you wanna, we as

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hr, like we have so many repetitive

tasks, so many administrative tasks, so

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any way that we can build this out, of

course building it out is, takes time.

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But once it's built out and they do their

research and everything is in there.

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It's easy moving forward so much easy.

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Thomas Kunjappu: So culturally would,

do you think like that, the idea of a,

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okay, here's a gauntlet, we're gonna come

back and you give more than a day, but

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there's some, in some reasonable time,

let's try, let's come all, come back.

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has that, changed the culture or is it,

did it feel like a one time kind of thing

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where we have this project, that we.

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Kind of, at one specific set of things.

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Katherina Ali: Oh no, it actually

changed, like when that meeting happened

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and they were able to see what they're,

they can accomplish Now it's just every

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other day it's oh, we can automate this.

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We can automate this.

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I'm like, okay.

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Slow down.

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That's a good time.

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But I would say it definitely increased

the accountability, the, feeling like

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empowered oh my gosh, like I actually

built this and this actually makes life

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easier, not only for me, but anybody

that's coming, anybody that's new.

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As we're growing, we're

gonna get more staff.

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So it's like that accountability aspect

and that empowerment aspect and the.

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More focused on like other projects

and more focused on people, because

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that's essentially what HR is, right?

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For the people.

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Making sure that we build that culture

where everybody feels good at work.

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So we are able to now with those.

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AI automation, we're able to, give

more time and have more engagement with

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employees and making sure we, do certain

things for 'em to feel appreciated.

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And, making 'em sure they feel

really as the Freebee family.

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'cause we call ourselves a Freebee

family, so they're able to, talk

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that through with them and, make them

feel instead of like every time they

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talk to them it's just oh, you have

to send this, or you didn't do this.

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It was more like, Hey, how's this going?

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How do you feel?

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Because.

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AI already did all of it.

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Thomas Kunjappu: So you're actually

seeing that thing where the

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idea, that's the promise, right?

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That the, the job can change specifically

in hr, it can actually be more human.

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So

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there's less time on the administrative.

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And you've already seeing

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Katherina Ali: yes.

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I've already seen it.

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Thomas Kunjappu: So if that's

the case, do you think.

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AI is taking jobs or changing them,

and specifically with the HR team

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that they're, and sometimes there's

skepticism, there's fear, right?

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There's a lot of, that,

That vagueness around the

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This has been a fantastic

conversation so far.

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If you haven't already done so,

make sure to join our community.

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We are building a network of the

most forward-thinking, HR and

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people, operational professionals

who are defining the future.

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I will personally be sharing

news and ideas around how we

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can all thrive in the age of AI.

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You can find it at go cleary.com/cleary

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community.

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Now back to the show.

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positive element, but very like clarity

around like how the today can change for

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so many people about their jobs and, the

risks involved and it's something that,

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to some degree, every HR team needs to

navigate for their entire stakeholder

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base, like employees across the board

and certainly within the HR team, itself.

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How is that, if you just take the

microcosm of your HR team itself,

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like how is that play playing out and

what do you think, how do, what do you

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think that evolves to more broadly?

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Katherina Ali: yeah, I would say

because if I've had the question,

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I have had the question where

it's like, what does this mean?

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As it transform, because it's

only gonna get better, right?

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In terms of technology.

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and when they worry about their role

being with ai, replacing it, I always

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try to reframe the conversation.

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Ai, like I tell them,

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Katrina Ali: AI isn't here

to replace people, right?

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It's here to remove repetitive work.

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Katherina Ali: that slows us down.

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Like it, especially in hr, like

so much of what we do as human.

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And it's about, like it's

about relationships, trust.

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Coaching leaders and supporting employees

and navigating through complex situations.

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So technology can support the work, but

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Katrina Ali: it can't replace the human

JUDGEMENT and empathy that HR requires.

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And what

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Katherina Ali: AI

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does is free up time instead of

spending hours on administrative tasks.

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HR teams can focus more on

the strategy, the culture,

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the

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The employee experience.

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So that's my way of reframing it.

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Hey, now we can, focus on the bigger

picture of relationships, getting that

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trust from employees, like knowing that

HR is always present, like coaching the

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leaders on how to interact with employees.

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And that's where I drive it to like it's.

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More, it helps us be more data-driven

and more comfortable to work alongside

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and we have to work with technology.

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Because at the end of the day,

the heart of HR is always people.

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Thomas Kunjappu: That's a great sentiment.

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Let me play the devil's advocate here.

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And I'm just wondering, so do other people

around the C-suite believe that too?

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Katherina Ali: Yes.

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Thomas Kunjappu: Meaning professionals

may have this like vision and there's

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always been this conversation about

a seat at the table and maybe now

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this with this latest wave, right?

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Whether it was COVID or any kind of,

or now ai, like big wave and shift

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is, there's an opportunity, right?

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For HR to be.

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Less reactive, more proactive, more

strategic seat at the table, all that

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kind of stuff.

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So do you sense that is, what is

being demanded from the market or

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from C-suites or, like executive teams

and boards that we all work with, are

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they demanding that more, from us?

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Katherina Ali: I would say luckily

not my CC team, but I think it's

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definitely something, because with

this there is a question like,

350

:

because AI can do all of this.

351

:

Do we really need the staffing?

352

:

For it.

353

:

but again, it's our role as HR

professionals to show our C-Suite team.

354

:

Yes we do.

355

:

At the end of the day

AI can't show empathy.

356

:

They can't solve problems that, like

in certain investigations that happen,

357

:

it can provide like the right thing to

do or based on the research, but those

358

:

conversations need to have that — we

need to get them, get their buy-in

359

:

because again, they're operations.

360

:

They think operation.

361

:

It's our job to show them the

people behind the operation.

362

:

Thomas Kunjappu: That is so how do you

show them that the people behind the

363

:

operation, that's like a, I feel like

it's a key kind of question because the,

364

:

I mean you're, we are agreeing with the

premise the first step, which is, yeah,

365

:

there's a lot of repetitive administrative

work and compliance driven work, which

366

:

is core to what needs to happen in hr.

367

:

And then the operators, they

believe that needs to get done.

368

:

Obviously keep hire, fire,

keep the company compliant.

369

:

We need that.

370

:

So if a lot of that is going towards.

371

:

AI

372

:

to help us automate more

and more of this stuff.

373

:

And we want to, we wanna uplevel

and I'm with you all the way

374

:

there, but then

375

:

Katherina Ali: Yes.

376

:

Thomas Kunjappu: we need to

take the C-suite along with

377

:

us on that journey, right?

378

:

They need to also agree that

this is that there's value

379

:

here.

380

:

What, and especially with your

conversations with peers, right?

381

:

So what is that?

382

:

How can we communicate that value

to the C-suite for, this, this human

383

:

element and, empathy and, piece of

the role that, puts it all together,

384

:

and process together to the people.

385

:

And, keeping that like still

relevant, for the C-Suite.

386

:

Katherina Ali: I would say,

one of the conversations that I

387

:

had with my C-suite when it was

raising like questions, it just.

388

:

Showing them like, okay, the part

of this is what AI does, from a

389

:

technical technological standpoint,

and this is what, HR does from a people

390

:

standpoint and having them understand

that, okay, we can provide the data.

391

:

Yes, it's, it's more effective in time.

392

:

But with that time that we're saving,

especially as we scale, we're gonna

393

:

have to, we're building employee morale.

394

:

Every, employees function better when

they feel appreciated and having HR

395

:

have that more time to do engagement.

396

:

So we're focused on wellness is a big

thing especially in the transportation.

397

:

Like our drivers are,

sitting down most of the day.

398

:

So it's building and wellness

initiative having their, do certain

399

:

things, host certain events.

400

:

Focusing on that in that regard is where.

401

:

For me, I was able to get through

to my C-Suite team to understand the

402

:

buy-in of we still need our people.

403

:

We still need hr, our HR team,

to do certain things in terms

404

:

of doing those events and making

those employees feel appreciated.

405

:

And doing those, having those

engagement and connecting the managers,

406

:

training the managers, coaching

them on how to, how, interact with

407

:

their employees and so from that.

408

:

More was able to understand okay, yes, AI

is going to help, remove, the repetitive

409

:

tasks, but we do need our HR team or

our people to, execute in that sense.

410

:

Thomas Kunjappu: So that's a great, I

gotta say great treatise on how to en

411

:

engage with, skeptical C-Suite, right?

412

:

Which I think many leaders are like,

HR leaders are dealing with this.

413

:

and, it's, an important

conversation because.

414

:

I think being the ability

to do that future proofs.

415

:

You as an HR leader and your function

right as, the function evolves and

416

:

the demand for it evolves and what

you're doing day to day evolves,

417

:

you've gotta continuously make

the case for why this matters.

418

:

And, it's not gonna be

given to you, right?

419

:

Just because, 'cause when

we're in this time of a shift.

420

:

There's gonna be, people are asking

bold questions like, wait, do

421

:

we need this department anymore?

422

:

and I'm, it's not just hr, it's like

literally, like you can have a version of

423

:

that question for every like department,

but certainly, on the HR side, like

424

:

we need to that conversation with

the C-suite and keep them appraised.

425

:

It's both the C-suite as well as the team

426

:

Katherina Ali: Yes.

427

:

Thomas Kunjappu: To keep

them moving forward.

428

:

So speaking of moving

forward, if you had to.

429

:

I guess project out a couple years.

430

:

What do you think the future of HR.

431

:

Is, starting to evolve towards, from,

even do you imagine like different titles

432

:

or the an example is with COVI, right?

433

:

There's a whole bunch of new policies

and new types of things that were

434

:

just never, and a whole new type of

working way of working with remote

435

:

work that just got brought into.

436

:

What the HR function is doing, and

maybe there's some versions of that,

437

:

like with ai, but in an AI enabled

world, what do you think the HR

438

:

team is going to evolve in towards?

439

:

Katherina Ali: from my perspective,

the biggest thing I would say

440

:

is how we spend our time, right?

441

:

As automation continues to handle more

of the repetitive and administrative

442

:

tasks, I would say HR and our team could,

would be able to focus on more strategy.

443

:

Leadership development, employee

experience, the role of HR will continue

444

:

to shift from operational support and

being a true business partner, right?

445

:

We'll be working more closely with

leadership and trying to solve workforce

446

:

challenges and that, And help shape the

culture direction for the organization

447

:

and enable ai, and AI enabled world.

448

:

The HR leaders who will be more

successful, I would say, are the ones

449

:

who can balance both sides, understanding

technology and data, and of course

450

:

being deeply focused on people.

451

:

Skills and strategic thinking,

adaptability, communication, and of

452

:

course emotional intelligence will

become more important because at the

453

:

end of the day, technology can help us

operate smarter, but the real impact

454

:

of HR will always come from how well

we support and develop our people.

455

:

Thomas Kunjappu: So you don't think

there's like much of a trade off?

456

:

You need to do both

457

:

Katherina Ali: Yeah.

458

:

Thomas Kunjappu: one, like need to

like contend with AI as a technology.

459

:

Also be deeply, integrated into the

business side and the relationships

460

:

within the organization because a case

I've heard, tell me how you'd react to

461

:

Katherina Ali: Okay.

462

:

Thomas Kunjappu: actually,

yeah, like we let the technology

463

:

people figure out the AI stuff.

464

:

We're gonna focus on, people and

one-on-ones with managers, coaching,

465

:

development, empathy all these

kind of things that you said.

466

:

And, we get to stay out of.

467

:

The AI part of it because or at

least an HR BP could say that, right?

468

:

As a head of hr, maybe you don't

have that luxury 'cause you have

469

:

to deal with all the operations.

470

:

But is there a future for someone who's

like going into HR to be completely,

471

:

not leveraging AI technology and like

being aware of it because they're just

472

:

so good at the all the other aspects of

the business and empathy and coaching.

473

:

Do you think that's possible for,

let's say someone who's just gonna

474

:

do a master's in HR or is looking at

their like first HR job that they can

475

:

just go completely in that direction?

476

:

Katherina Ali: Honestly, no.

477

:

I

478

:

Thomas Kunjappu: Okay.

479

:

Katherina Ali: honestly, no, and I

think any, anyone who think that,

480

:

I think they need to do a little

more, a deep dive into it because.

481

:

There's no way we can now because it's so

much in everything and it's not that, as I

482

:

said, it's not something to be afraid of.

483

:

It's something to embrace

as it's not a substitute.

484

:

It's supplementary and.

485

:

Understanding that and getting that

buy-in would help you understand yes,

486

:

you do need to have that technological

side as well as you know what you've

487

:

learned in school or and what have you.

488

:

So you have to have that

balance and have to be both in

489

:

order to succeed in your role.

490

:

Thomas Kunjappu: Okay.

491

:

A very clear like you but that's

good, that come, comes from this

492

:

personal transformation, right?

493

:

That you've had as well as the

HR team you've seen, You saw the

494

:

there's a red pill, blue pill moment

and you went this direction and

495

:

kind of see where that's led to.

496

:

And, I guess it's hard to imagine

success in the other like other

497

:

route.

498

:

Put, just to really confirm,

499

:

Katherina Ali: Yes.

500

:

Thomas Kunjappu: if you, for anyone

that you're hiring, like for example,

501

:

if you're hiring for like an HRBP

502

:

type of role, would you not consider

someone who is extremely good at.

503

:

dealing with being a coach to managers

work, like there, there's a million

504

:

things that they can bring up, but

they are just allergic to technology,

505

:

let's say, or just doesn't, don't

wanna be, u using these things.

506

:

And they've got like this, super,

superpower right around, engaging

507

:

with managers and coaches.

508

:

I'm really trying to just push the

thinking all the way and, you had versus

509

:

someone who is, quite as good at that,

but they're decent, but then they can

510

:

also leverage tools and do a lot more.

511

:

How would you think about that?

512

:

Katherina Ali: That's an easy answer

for me personally, I would go with

513

:

a person who is more tech savvy and

has that experience and relationships

514

:

in building that culture, and not

someone who is just focused on that.

515

:

Only because it's like you can't

do this type of thing, you have

516

:

to actually have that buy-in.

517

:

And if you don't, you are

not gonna be able to do it.

518

:

Like I've seen myself, like you have to

be able to have that tech savvy and have

519

:

that understanding I wanna automate this

because again, you're just gonna be stuck.

520

:

You are gonna be creating

more work for yourself.

521

:

And then that's gonna tie into oh my gosh,

like this is taking so long to do, which.

522

:

We faced before because before AI

happened, I had it a lot like, oh my gosh.

523

:

I wish it was an easier way,

and now there's easy way.

524

:

Why are we so afraid of it?

525

:

Let's embrace it.

526

:

This is great.

527

:

Thomas Kunjappu: So if you had to rewind

back to your skeptical self, like when

528

:

you first started hearing about this

thing and you were like, not bought

529

:

in and if you're talking to others

who are on that part of the journey.

530

:

Like they're, They're fine and say,

okay, I keep hearing about this like

531

:

AI thing and other people are talking,

are doing things in onboarding or

532

:

in, like every part of the employee

journey and every aspect of what I do.

533

:

so maybe I need to like, maybe, but I'm

not a hundred percent like convinced.

534

:

but let's say like you're

right there in that moment.

535

:

For someone like that, what would

you say would be like the first next

536

:

steps right to, you'd recommend to

start to go from fear to some kind of,

537

:

Katherina Ali: Excitement.

538

:

Thomas Kunjappu: Oh yeah, maybe

excitement, maybe motivation

539

:

is first what you need.

540

:

But I, I was even saying just

skill or like understanding even.

541

:

Katherina Ali: I would say

definitely like it's coming from

542

:

because I was in that stage.

543

:

I would say, first don't dive into, don't,

I wouldn't recommend diving into anything.

544

:

just understand it first because

every industry is different

545

:

and how to use certain things.

546

:

So that's the first thing.

547

:

Just observe how your company is

and what they do and how much.

548

:

Of it is needed.

549

:

And then once you observe that,

then you're able to say, okay, now

550

:

I'm going to, start experimenting

myself on, doing different things

551

:

like how I did it with my team.

552

:

Challenge yourself.

553

:

So my advice would be like,

challenge yourself into how this

554

:

can work for you, because we're all

different, we all work different.

555

:

So it's just how it works for you

and elaborate on that, expand on

556

:

that, and then talk, and of course,

like I call it phone a friend.

557

:

If you're not too sure about something,

there's no way, there's no need to

558

:

reinvent the wheel phone a friend

and just, Hey, I'm having issues.

559

:

What do you think about this?

560

:

Do you think I should

make a policy for this?

561

:

And then you'll be able

to get that guidance from

562

:

somebody who already know it.

563

:

For somebody coming in.

564

:

So at first of course, we were all

on the same page with what is this?

565

:

What do we do?

566

:

But now we're past that.

567

:

So if there was somebody else who's

coming in at that stage, we were,

568

:

it's actually better for them because

now they have that guidance that

569

:

it we didn't have in the beginning.

570

:

So I think it's like a good thing.

571

:

Thomas Kunjappu: Yeah, you can take

advantage of the lessons that others

572

:

kinda learn to maybe get there a bit.

573

:

A bit faster.

574

:

Yeah, absolutely.

575

:

'cause yeah, we are, the ChatGPT

moment is, it's been a few years at

576

:

this point, since, it all has started.

577

:

just like one more question, area I

wanted to explore with you while I have

578

:

you, so when you're thinking about, I

guess is, HR transformation in general.

579

:

We like to talk about

future proofing hr, right?

580

:

So we've been talking obviously about ai,

but what other have you been looking at

581

:

significant changes in across the company?

582

:

I know when we're talking

583

:

earlier, you're talking about

and how that's evolving,

584

:

Katherina Ali: Yeah.

585

:

Thomas Kunjappu: in your organization.

586

:

I'm curious if, you

have any stories about.

587

:

that, about how it's evolving

in this particular moment.

588

:

And also if, does AI fit into it at all?

589

:

But just how do you think

about benefits or other broader

590

:

transformations within the HR team?

591

:

Katherina Ali: yeah, of course.

592

:

so another great thing

that we did, was 401k.

593

:

we were able to, at first we, I was

getting, like not yet, not ready yet.

594

:

And then we finally, we were able to get

it and that was something great for us.

595

:

especially as a growing company, it

was something amazing for our drivers

596

:

because some people don't even have

access to retirement fund, and that was.

597

:

That was able to give

them that opportunity.

598

:

So that was another big thing that,

we did as a company where we roll out

599

:

401k and everyone was super excited.

600

:

Of course, again, like they were

like, oh, what is going on here?

601

:

Because again, some people don't even

know about what a four one K is, and.

602

:

Even though they've been in the workforce

for a while and it's now is, it gives

603

:

us more of retaining that talent,

being more attractive in the market.

604

:

So that was based on that and having

that in our job posting that, oh, we have

605

:

401k now we have a lot more applicants.

606

:

We have a lot more longevity

with our employees.

607

:

So that was another big thing

that we, I, we appreciated to

608

:

have, we were able to have.

609

:

Thomas Kunjappu: I love that.

610

:

I think, Having a 401k was completely

something that startups were not.

611

:

It's just oh, that's for mature

companies and, but if you're gonna

612

:

especially have a diverse, from an age

group perspective workforce that you

613

:

start up, you end up, not attracting

a whole bunch of cohorts, right?

614

:

If you don't have that, and on the

flip side, you can be competitive.

615

:

so do you think that's, so offering that

is absolutely great and it's especially

616

:

for like drivers and folks who haven't

had access to something like this

617

:

before experience of offering that.

618

:

Do you think that's, the world of

benefits, do you see that that and

619

:

other kinds of like new offerings

are starting to become more important

620

:

along with just compensation?

621

:

Katherina Ali: Yeah, I would say so.

622

:

because again, some people it depends

on, your, what you want for yourself.

623

:

For me, I definitely.

624

:

Would prefer benefits, because benefits

tied into when you're not feeling well.

625

:

Again, like we, in the past we

mentioned we experienced COVID

626

:

where, that was an unfortunate time

and one of the things we need is

627

:

benefits like good health insurance.

628

:

So that's important where, where

we have good benefits in that

629

:

regard and making sure that,

wellness is a very important thing.

630

:

So having, like right now also to

the benefits, I have for my team

631

:

where they have, they can get

like acupuncture, it's like weight

632

:

loss, it's like massages, facials.

633

:

So that's part of a package that

they get for free with our benefits.

634

:

So it's more of that wellness

aspect and having to, have those

635

:

things other than just compensation

636

:

Thomas Kunjappu: Yeah, when you talk.

637

:

Is almost, I think of it like

wellness versus workers' comp, right?

638

:

It's it's like the proactive version.

639

:

Yeah.

640

:

Versus what you can do, right?

641

:

Where versus doing things reactively

at the, when things come up.

642

:

So maybe that's like a broader kind of

shift, I think even on the benefit side

643

:

for what the HR team is, all about.

644

:

so Katherina, I think that's about

all the time that we have today.

645

:

if folks wanna follow your

journey and, hear more from you

646

:

how can best connect with you?

647

:

Katherina Ali: I would

say definitely LinkedIn.

648

:

You can reach out to me on LinkedIn.

649

:

It's Katherina on LinkedIn,

650

:

Thomas Kunjappu: Okay, I'll

we'll put that in the show notes.

651

:

And, thank you again for this,

conversation, where you know, Katherina,

652

:

it was great to talk to you about

your personal journey from hearing

653

:

about this thing, to really hearing

about this thing, to being skeptical

654

:

to saying, wait a minute, we have to.

655

:

now and the very specific approach

to challenging yourself and

656

:

your team with a given deadline.

657

:

Buy 'em lunch, but say this is real,

like it needs to happen by this time.

658

:

We've gotta

659

:

go and give 'em the space

and then make that happen.

660

:

Katherina Ali: Exactly.

661

:

Thomas Kunjappu: create

its own positive cycle,

662

:

, Katherina Ali: Yes.

663

:

Thomas Kunjappu: Going from.

664

:

Like fear, skepticism towards

okay, experimentation and now

665

:

we're actually getting some

666

:

wins and you get into being proactive.

667

:

Share this vision with you of

a future proof HR where you're

668

:

spending less time on administration

and much more being strategic.

669

:

Let's, get there bit by bit.

670

:

And it's, what you said about it

being a supplement as opposed to

671

:

being, as opposed to a substitute.

672

:

I think that's a great, great message and

also a very real, wake up call, right?

673

:

If you're not engaging with this

even if you're on the most people.

674

:

type of job within hr, you're still

gonna be at a disadvantage versus

675

:

those who are embracing this.

676

:

And I think it's people are slowly

wrapping their minds around.

677

:

So thank you for, this conversation.

678

:

of course, those who are listening into

future-proof HR tend to be the folks

679

:

who are already along that journey.

680

:

so for everyone who's out there,

I hope you found some, tidbits of,

681

:

practical advice and thoughts from this,

conversation with Katherina about how

682

:

you can future proof your organizations

as well as your own HR function.

683

:

So thank you once again Katherina,

and for everyone out there,

684

:

I'll see you on the next one.

685

:

Katherina Ali: Thank you.

686

:

Thomas Kunjappu: Bye.

687

:

Thanks for joining us on this

episode of Future Proof HR.

688

:

If you like the discussion, make

sure you leave us a five star

689

:

review on the platform you're

listening to or watching us on.

690

:

Or share this with a friend or colleague

who may find value in the message.

691

:

See you next time as we keep our pulse on

how we can all thrive in the age of AI.

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