Why your Employees Feel More Productive but your Revenue Doesn't Show It! - Findem

29 Sep 2026 · 43 min · 22 chapters

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In short

How Findem uses data-first AI to improve talent acquisition outcomes, and why “employees feel more productive” doesn’t automatically translate into revenue. The episode argues AI adoption must start from business strategy and measurable ROI, not from “cool tech,” and should redesign workflows (not just add tools).

Guests

Nate Sokolik (Findem; previously practitioner at executive search firm Spencer Stuart; led AI strategy at Russell Reynolds; helped deploy Findem globally; now works with HR leaders on AI adoption). Shane Drigger (ex–Chief Talent Officer at T-Mobile; 30 years in HR; met Findem founder Hari during a product demo; now does growth advisory and explores AI’s distinct impact on HR).

Key claims

Findem differentiates via centralized, labeled, contextualized profiles (100,000+ data sources) plus verified “outcomes engine” agents in Findem Studio. AI success requires strategy, methodology, and validation/triangulation; otherwise tech debt grows.

Notable examples

CFO search with CEO collaboration; “market map” and “succession plan” deliverables; recruiter replacing spreadsheet targeting with verified AI-generated lists and dossiers.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Defining the CFO Role

0:09 to 0:40

Exploring the process of defining the CFO role and the importance of data.

“And part of that is, cool, like, where are we going to go?”

The Importance of Truth in Leadership

0:40 to 0:51

Discussing the value of honesty in leadership practices.

“What would happen if we just told the truth?”

Announcing a New Sponsorship

1:15 to 1:48

The importance of sponsorships in supporting the podcast.

“Welcome to another episode of TruthWorks.”

Introducing the Guests

2:28 to 2:49

Welcoming guests Nate and Shane to discuss their backgrounds.

Nate's Journey to Findem

2:49 to 4:50

Exploring Nate's professional background and experience in HR.

“So before we get into all the things, I want to just talk a little bit about your backgrounds because you're both practitioners and you understand the problems in the people space very deeply and personally yourselves.”

The Appeal of Findem

4:50 to 7:20

Discussing what drew Nate to Findem and the company's mission.

“What was it that Findem sort of showed you or compelled you to want to come take the leap and be part of the mission?”

Shane's Background and Experience

7:20 to 8:00

Shane shares his journey in HR and his connection to Findem.

“I think that motion of best in class tech with best in class kind of solutioning, if you will, and whatever that means for them.”

HR Transformations and AI

8:00 to 11:01

Discussing transformations in HR and the impact of AI.

“And I think we're starting to see green shoots of that as a business and starting to find some real success in being that partner to enterprises, right?”

Understanding Findem's Solutions

11:01 to 13:23

Explaining the capabilities and offerings of Findem.

“And like you said, it's this massive inflection point, evolution, whatever you want to call it.”

Differentiating Findem in the Market

13:23 to 14:00

Discussing how Findem stands out among competitors.

“Between the centralization of the data and the data labels is really where you start to see the differentiation.”
Show all 22 chapters

The Challenge of Data Centralization

14:00 to 16:44

Explore the difficulties of accessing and structuring centralized data for effective use.

“Like, you know, we go and we get all the data, but can anybody get the data?”

The Role of Findem Studio in Recruiting

16:44 to 19:50

Learn how Findem Studio enhances recruiting processes by connecting talent more efficiently.

“It doesn't live because you have to go back in and update it.”

Delivering Reliable Outcomes with Findem

19:50 to 23:08

Understand how Findem Studio provides trustworthy outcomes through structured methodologies.

“I'm running a search for, maybe I'm doing an executive search for my company.”

Struggles with Measuring Productivity and AI

23:08 to 27:40

Discuss the challenges organizations face in translating perceived productivity into measurable outcomes.

“So I think to build on that, I think Nate framed it up beautifully, but what about the next level of order, which is you're doing a CFO search?”

Strategic Approach to AI Adoption

27:40 to 28:00

Examine the importance of aligning technology with business strategy for successful AI integration.

“Do you hear the same thing or is it just the people I'm talking to?”

Rethinking AI Strategy in Organizations

28:00 to 29:01

Learn why companies must prioritize strategy when integrating AI technologies.

“It's like, hey, there's this cool piece of tech and it's like, cool, like how are we going to use it?”

Redesigning Work for the Future

29:01 to 30:48

Understand the need to redesign organizational workflows instead of layering on new tech.

“And one of the things that I've been talking to a lot of companies about is that you really have to, and you're touching on this, Shane, you really have to think about this from the first principle perspective.”

Navigating Technology Adoption Challenges

30:48 to 33:36

Discover how to effectively prioritize technology adoption in organizations.

“And putting AI at the core of your organization so that things are connected.”

The Multifaceted Role of HR Leaders

33:36 to 36:36

Explore the evolving responsibilities of HR leaders in modern organizations.

“And figure out what's the right trickle and where are the biggest pain points.”

Systems Thinking in Human Resources

36:36 to 37:58

Learn about the importance of systems thinking for HR professionals in today's landscape.

“And the system one is coming, I think, to the forefront right now in a very profound way because if you can't think of the wiring, the architecture on the back end, I think it paralyzes people.”

Embracing Change and Opportunity

37:58 to 39:29

Understand the importance of adapting to change and leveraging opportunities in business.

“and your people are different than any other, you know, businesses people.”

Inspirational Insights for Leaders

39:29 to 39:47

Key advice on transparency and authenticity in leadership.

“We're running out of time, which is super unfortunate.”
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Transcript

Automatic transcript. May contain errors.

0:00Shane Driggers:You're doing a CFO search. Well, you're not doing that on your own. You're actually partnered up with a CEO and probably likely others to run that search. And part of that is, cool, like, where are we going to go? You're defining what the role is and taking in the requirements and then using that to work with Findem. But now you have something that you can go back and have a conversation with the CEO to say, here's what we found. Here's the data. Do we trust the data? Let's debate the things that we have questions about. Let's dig into those. it creates a launchpad that is so unique and differentiated from, well, I did some Google searching and here's what I put together in my spreadsheet and I polished it up and made it look really pretty.

0:39Shane Driggers:And that took four and a half hours of my time and I missed my kids' soccer game.

0:48Nate Sokolić:What would happen if we just told the truth? Welcome to TruthWorks, where we dig into the nitty-gritty of leadership and work and what needs to change. I'm Jessica Neal. And I'm Patti McCord. Our journey together started in HR, but trust us, it's evolved into something wild, honest, and well, a bit rebellious. So throw out the handbook. We're here to redefine rules to work for us, not against us. Let's dive into another episode.

1:25Nate Sokolić:Hi, everyone. Welcome to another episode of TruthWorks. I am your host, Jessica Neal. And today I'm, I don't know, I'm a little excited. I'm a little giddy because we have, we're announcing another sponsorship. And I, you know, guys, I don't know. It just, getting these sponsors means so much to me and to you because it keeps the show going. But also, we don't just pick any sponsor. We pick the best sponsors. And I'm really excited about announcing this because it's a company that I've been following for a long time. I met the founder, Hari, I don't know, three plus years ago. And the journey that they've been on is just really fascinating.

2:08Nate Sokolić:And they're trying to solve a very hard problem that we all struggle with. So, the company is Findem, and I have two folks here today that are going to help me unpack Findem, but also unpack a lot of things that are going on that are hard for us to solve right now. So, I'm going to welcome to the show Nate, and I'm going to say his last name correctly because he just told me how to say it, but Sokolik. Did I do it, Nate? You did it.

2:37Shane Driggers:That was great.

2:38Nate Sokolić:Okay. And I have Shane Drigger. So welcome to the show, Nate and Shane. How are you all today?

2:45Shane Driggers:Great. Yeah. Thanks for having us. Yeah. Thank you. You're welcome.

2:50Nate Sokolić:You're welcome. So before we get into all the things, I want to just talk a little bit about your backgrounds because you're both practitioners and you understand the problems in the people space very deeply and personally yourselves. So, Nate, let's start with you. Let's talk a little bit about your background and what led you to Findome and what you are specifically passionate about.

3:14Shane Driggers:I appreciate that. You know, I think a non-traditional kind of practitioner route. So I, it almost goes back to my college days where I started my first company, raised funding for it, had another company that I sold and, you know, ended up finding my way at a Shrek firm. So for the audience, right, I think, you know, one of the large executive search firms. And, you know, when in some ways, when you don't know what to do, you can go into recruiting if you're, you know, interested in solving problems and understanding people. So I found it to be like a great platform for me. So I was a practitioner at one of the Shrek firms for about three years or so.

3:51Shane Driggers:And, you know, I wanted a different hamster wheel, right? When I was like the reward for good work at a place like that is more work. And I was like, I'm ready for the next challenge to combine some of the skills that I learned from my first experiences. And so I was looking for something in tech, right? To pivot back to like building companies and ended up getting the opportunity to lead the AI strategy for Russell Reynolds. and worked on that for three years, which is how I met Findem. And I met Findem as a, you know, basically as the sort of business sponsor and help bring them into the firm and then deploy them globally.

4:22Shane Driggers:So I got to see firsthand, you know, as someone who has built technology, as someone who has done real work, and then as someone who's evaluated vendors, bringing that whole, all those pieces together and see the impact of Findem inside of a large scale organization. And the two-step there was, obviously now I work at Findem And then working with HR leaders and practitioners, both in agency and corporate, to basically help them understand the impacts of AI and take them on that journey, the same journey that I went on.

4:50Nate Sokolić:Yeah, well, that's fascinating because as a consumer of these products myself, I've never once wanted to go work at any of these companies, but you did. What was it that Findem sort of showed you or compelled you to want to come take the leap and be part of the mission?

5:10Shane Driggers:you know i think that it's a great question i think there's really there's two dimensions of it and they're both equally important the first one is the the people you mentioned hari and you know if you if you know hari you know hari is a special kind of guy he's so smart he's so humble and pragmatic and like everyone here is really focused on taking deep expertise in technology and solving very real human problems and like the way that they do that the how is is commendable right and i and i don't see that in a lot of companies so i think hari and the team i think is the first reason the opportunity to learn from people like that i think the next the next one was the technology right so when you think about what find them is and the whole philosophy like philosophy of how they're approaching the problem space it's from a data first perspective it's from an infrastructure perspective which is grounded in the backgrounds of you know basically the founders here and and how do you apply like deep technology expertise surround yourself with practitioners like myself, right, and bridge the gap between those two things to solve real problems.

6:12Shane Driggers:I thought that framework and that foundation was the right mix of ingredients to actually have an impact and a challenging space in a crowded market. So I think those two things in terms of impact, opportunity, relationships kind of came together for me and sort of unlocked this lane.

6:27Nate Sokolić:Yeah, and I think that is a little different because a lot of times you're working with these organizations and they don't have a lot of practitioners or they do and they're not really close to the company. Maybe they're just kind of advisors, but people, like having people that actually understand the problem is important because some of my frustration over the years and finding solutions and tools that you would buy off the market is that they really did missing the mark. And it's like, well, that's not how we do it. I understand that's maybe how, you know, Pepsi does it or whoever, but we're not them.

7:08Nate Sokolić:And we, you know, we need to customize and we need to do, you know, a little bit more rigor and more agile, right? And, you know, it can be a bit frustrating. So that's certainly great to hear.

7:22Shane Driggers:I think that motion of best in class tech with best in class kind of solutioning, if you will, and whatever that means for them. And I think it does mean experience and actually feeling the problem and maybe even solving some of the problems at the intersection of tech and being that advisor in the room. I think as technology shifts, right, I think from SaaS to, you know, that's a tool that you go to and you kind of sell the merits of the tool, right? Do you want the tool or do you not want the tool to agents, which are just inherently more flexible to meet you where you're at instead of asking you to go to something and learn the thing to attract value.

7:58Shane Driggers:I think that most and those like the packaging of that is actually very important. And I think we're starting to see green shoots of that as a business and starting to find some real success in being that partner to enterprises, right? And the talent function and HR functions at large, at large scale.

8:12Nate Sokolić:Yes. Well, let's get to Shane because Shane, you also have a fascinating background. So tell us a little bit about yourself. And then I will say You don't work at Find 'em like Nate. You are a fan of Find 'em. So tell us your experience and how you became a fan.

8:29Shane Driggers:Yeah, I think that similar to your story, Jessica, I met Hari initially and then subsequently Nate. And Hari came in to essentially demo his product. I was at T-Mobile at the time. And everything that Nate has said about Hari is actually true. there's something very magical that kind of draws you in to have that discussion, which you touched on customization and strategy, which I would love to talk about at some point. My journey in HR, my journey leading up to meeting Hari and then to being with you today is really steeped in finding HR as a profession, which was not on my bingo card as a kid.

9:08Nate Sokolić:It's not on any of our bingo cards, you know.

9:11Shane Driggers:No, but it definitely, it's more of a calling, I guess, of sorts. And so I started my career here in the Bay Area, which is where I'm at today, and visiting. I live in Seattle, Washington. And so the journey, full circle, I started my career during the dot-com boom. Working in startups where we were giving away, you know, BMW Z3s, sign-on bonuses, and all the crazy shenanigans that took place. But that's how I cut my teeth and learned corporate, if you will, right? Yeah. And all the tech and consuming tech.

9:44Nate Sokolić:It's so corporate, giving away BMWs.

9:46Shane Driggers:Yeah, I know, right? We should bring that back. It's all to say, you know, close to 30 years in this crazy world of human resources and people and transformations, right? Transformation in the world, which we're in a huge one right now.

10:03Nate Sokolić:Yes.

10:03Shane Driggers:And I've lived through a few of those.

10:05Nate Sokolić:And so you were the chief talent officer at T-Mobile, correct? I was. And now where are you?

10:12Shane Driggers:Now I am doing things much like what we're doing here. I'm, you know, friends. I've got lots of friends and doing some new growth. Yeah, growth advisory roles and kind of figuring out what's next beyond that. Because I think the need for, to kind of scratch the curiosity that I have around AI and how different this is. and that we often look back to find familiarity with the changes that we've gone through in society, with technology, and how that impacts each of us. But more so trying to separate it and look at it as its own thing. And going back where you need to to pull, extract those artifacts that have helped you kind of rationalize problems or see opportunity, but also dream in a new space.

10:59Shane Driggers:And so that's kind of where I'm at. I'm as curious as I was back in 1997 when I started my career.

11:06Nate Sokolić:Well, yeah. And like you said, it's this massive inflection point, evolution, whatever you want to call it. And it's fascinating. And if you're going to get curious, get curious now because it's moving fast, this whole AI thing. And you're going to get left behind if you're not on the train. So let's talk before we get into, because I really do want to talk about some of the things that you guys are seeing that organizations are struggling with. Because I see it. And again, this whole AI thing, no one's quite figured it out, right? We're all learning as we go. But let's talk a little bit about, before we get into that, let's talk a little bit about Findem and what it is that Findem does.

11:53Nate Sokolić:So Nate, maybe you can walk us through it.

11:56Shane Driggers:Yeah, absolutely. So Findem was started about seven years ago, and I hinted at this, but I think really focused at the talent acquisition space, recruiting, and essentially built out a whole product suite of capabilities that enable recruiters and HR professionals to execute those workflows. Now, what's different about it is the problem statement was originated from a data-first point of view, right? So when you think about it, a LinkedIn profile, when you search in LinkedIn, you're searching on the keywords of what we call one dimensional profile. But when you think about a hiring manager's request, it's find me someone that has been through a particular type of experience.

12:34Shane Driggers:Well, a recruiter has to take that one dimensional LinkedIn profile, cross reference lots of different data, internal data, company data, and paint a picture of the battle scars that someone has. What Findem did is we centralized all this data around the entire web. We have about 100 ,000 different data sources, dozens of partnerships, proprietary partnerships, and we create the most holistic view of who someone is inside of a Findem profile. And then what we do is we data label it. And this is very important because it allows for a basic profile to be turned into a 3D profile. Find me someone who has been a part of a CFO that has taken a company public, right?

13:12Shane Driggers:That type of query is possible inside of Findem. Find me someone that has scaled an engineering team from X to Y, right? And I think those types of the ability to contextualize the battle scars, right? Between the centralization of the data and the data labels is really where you start to see the differentiation. And then you have all these workflows on top that really meet recruiters where they are, right? And so that's the platform and how it's come together and probably in the most simplistic way. But we've been able to work with hundreds of enterprises and customers over the last seven years to basically transform the way that they do talent acquisition at scale.

13:47Nate Sokolić:Yeah, it's pretty fascinating. Now, there are some other folks doing similar things in this space, and you were kind of talking about what makes Findem different. But let's talk about that a little bit more, because it is confusing. Like, you know, we go and we get all the data, but can anybody get the data? Like, you know, how does that all work?

14:11Shane Driggers:Great question. Great question. I think there's a few different layers to this. And obviously, I think, you know, Findem through this partnership and with you, I think we're bringing Findem Studio to market, where I think that differentiation is really going to shine from competitors, right? And so the centralization of data is becoming easier. Now, taking that data and structuring that data in a way where you can access it and navigate it really effectively is very, very hard. And our infrastructure has been taking those profiles, indexing them, structuring them in ways where it makes it very easy for a practitioner to say, find me the people that does X and you get the right list of people back.

14:52Shane Driggers:Think about it like this. And a good analogy would be, let's say you go to a library of a billion books and you walk into the front door and you say, I'm looking for a book that has this type of story, this type of length.

15:09Shane Driggers:and you need to figure out where to go, right? If the library is not organized, you're not going to know where to go. What we've done is we've added extensive capabilities to get you to the right book as quickly as possible. And I think there's some limitations around technology today where taking a, let's say a competitor, for instance, that maybe has centralized data, but isn't labeled, isn't contextualized, right? You're not going to get to the same book as quickly as possible, right? And I think that's really where the difference is going to start to show up. And that's not only important to just getting a list for put a butt in a seat when you're doing a workflow for recruiting, but when you're trying to achieve other types of outcomes, which we'll talk about with FindM Studio, that infrastructure really allows you to get a lot closer to the end goal here and actually deliver on finished work.

15:53Nate Sokolić:Yeah.

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15:54Shane Driggers:Really where the differentiation starts to show up, if that makes sense.

15:58Nate Sokolić:That's helpful. And then, you know, I guess, Shane, Shane, for you in a practical sense, you know, and maybe seeing how the product works more closely, like what's your experience with it? And what do you think that your team gets out of it?

16:16Shane Driggers:Yeah, I think that it's pretty simple, actually. What Nate, the example Nate just provided, think of someone on your team that does recruiting. And I actually did this role earlier in my career, which is executive search. And you're going, you're creating a spreadsheet or putting it on paper, whatever your method is. And you're identifying all the people that you need to target based on industry, all these different factors. And you're putting it together and tracking it, right? But you're spending a tremendous amount of time. You can make mistakes. You can get false readings. And it's static.

16:49Shane Driggers:It doesn't live because you have to go back in and update it. And if you take that in the capacity that a recruiter that I spent doing that activity, which took me away from actually connecting with people, which is the role of a recruiter is to connect, to connect opportunity, right, to talent. And now there's a tool that actually does that for you. And it's way more smart or it's more sophisticated than what a human could do on their own. There's not enough hours in a day to do that. And it costs far less at the end of the day because you're taking that saved capacity. It's not sunk in cost.

17:23Shane Driggers:You're actually taking that capacity and pushing it towards the things that truly matter, which is connecting people. And so that's what I saw in the product initially.

17:33Nate Sokolić:Great. And then, you know, Nate, you brought this up, but you're doing a big launch around Findem Studio. So what is this? What's Findem Studio?

17:42Shane Driggers:Absolutely. So I think, you know, Findem's journey has been kind of a couple steps, right? And we started in SaaS where we built best in class workflows and we've productized it. Right. And so the consumption motion of that is, you know, your users, they go to the tool, they learn the tool and they're going to extract value from the tool. And we do. We have a lot of success with that. And the next thing has been, OK, all that data that we have allowed you to essentially get access to through these pre-baked workflows that your recruiters need to learn. A few months ago, we had a soft release of what we call Findem Studio, which is basically our front door for outcomes.

18:19Shane Driggers:And that exposed our MCP. So that gave access to all of the data that Findem has, the labeled, structured, organized data directly into an LLM where you can ask questions and get information back, get people back, get graphs back to tell you a story. And where we are today, and I'll contextualize, is the release of Findem Studio, which is that same thing one step further, which actually delivers outcomes and work that's verified that actually offloads a particular part of the motion. So the analogy here is, let's look at like Claude and Claude code. When an engineer was, how did it start? An engineer would put their code base and they would essentially say, give me feedback on how to make the code better.

19:04Shane Driggers:that essentially is mcp right now with find them studio is the analogy is like cloud code where those engineers they don't just want feedback on their code base anymore they actually want the system to deliver them working code that can go in front of their customers and that they can deploy that evolution is essentially what we've done here where you can ask for a market map you can ask for a succession plan you can ask for an inflow outflow report and we have partnered with practitioners to essentially define what these outcomes are. And we have layers of validation and verification on top of our data that gives you an outcome that you can trust, right?

19:41Shane Driggers:So it's an outcomes engine, really, that's agentically driven to meet a user where they are and to deliver an outcome.

19:48Nate Sokolić:Okay, so I'm a recruiter. I'm running a search for, maybe I'm doing an executive search for my company. We're looking for, you mentioned a CFO earlier. We're looking for a CFO. So what am I going to find in Studio? What am I going to use it for? Am I going to use it to come in and present the strategy? What would I do?

20:09Shane Driggers:Absolutely. So it's going to meet you where you're at. You're going to say what your goal is. And it is going to take you through a structured methodology to get you to an outcome. So let's say a market map, right? So a market map is an agent that we have inside of Studio. And it's going to take you from where you're at, get information that it needs to deliver on it. And it's going to go and do the work and bring you back a deliverable. Now, what's interesting about all of this is that we've added some real infrastructure to make sure that the deliverable that you get is something that you can trust.

20:37Shane Driggers:And there's a whole framework around that, which basically relies on three specific things. Number one is the data, right? So better data contextualized. That's the foundation that we already have.

20:47Nate Sokolić:That's why it would be better than like I could maybe go do this on Cloud, but Cloud doesn't have the contextual data that Studio has.

20:54Shane Driggers:that's one that's one thing that they don't have the next thing that they don't have is methodology and that's where someone like Shane comes in because all of the agents that we have inside of find them are sponsored and built with practitioners like Shane that says this is what the best in class thing looks like right so we haven't coded the methodology like have you ever gone and clawed and you type something in and then you type it in again and you get two separate responses that are packaged two different ways how do you get to the same high fault yes I

21:22Nate Sokolić:I have.

21:22Shane Driggers:Yeah. How do you get to the same high quality output every single time in something that you can trust? We have encoded those technologies into it. Yeah.

21:32Nate Sokolić:That's interesting. And so, okay. Yeah. I think, and if we just take the market map example, if you were trying to create a market map, maybe, you know, take the clods aside, whatever. It takes a long time to get all of that data to create. Like, you know, I don't know. I haven't created one in a long time myself, but I'm guessing it takes a few weeks to do. Right. Because you got to do all the research. You got to find stuff. You got to put it all together. And this is doing it in. Yeah.

22:07Shane Driggers:Minutes to hours. Right. I think, you know, really, and this is the third leg of differentiation is when you do something and find them, It's not just going to give you the output on our data, but it actually shows all the work, right? If it decided Shane, it's going to validate Shane. It's going to show you all the places where it found Shane to triangulate to show you that Shane is actually the right person. And it's going to give you the dossier, right? So the data, the workflow, and the verification and validation, it's almost like an analyst, right? It's like, you know, when you first said that market map as a junior researcher, a junior analyst, like you put it in the Excel, you organize it and you and you gave it to the more senior recruiter to basically like evaluate it.

22:50Shane Driggers:That type of handoff is the type of handoff that we're enabling, not just the magic delivery. Right. And so I think it really is full circle work that you can trust is work that you can see. And I think we're enabling the ability to basically get that across a number of use cases, both in talent acquisition, but also more broadly across the HR function.

23:09Nate Sokolić:Yeah. Yeah. Fascinating. Go ahead, Shane.

23:11Shane Driggers:Can I jump in here, Jessica? Yeah. So I think to build on that, I think Nate framed it up beautifully, but what about the next level of order, which is you're doing a CFO search? Well, you're not doing that on your own. And you're actually partnered up with a CEO and probably likely others to run that search. And part of that is, cool, like, where are we going to go? You're defining what the role is and taking in the requirements and then using that to work with Findem. But now you have something that you can go back and have a conversation with the CEO to say, here's what we found. Here's the data.

23:46Shane Driggers:Do we trust the data? Let's debate the things that we have questions about. Let's dig into those. It creates a launch pad that is so unique and differentiated from, well, I did some Google searching and here's what I put together in my spreadsheet and I polished it up and made it look really pretty. And that took four and a half hours of my time and I missed my kids' soccer game. Like just pull the thread on this. I mean, it's so much bigger than just the core of what you're getting. It's the halo effect, if you will. And those outer rings matter a lot, I think, in finding a CFO. It's multidimensional.

24:24Nate Sokolić:Yeah, for sure. Well, let's – and I think, you know, the story of FindEm will maybe organically come through this conversation. But both of you are out there in the world. Shane, you're making friends everywhere. Nate, you're talking to potential customers and customers. And I'm advising HROs and CEOs, and we're talking about AI and how to get it adopted internally. And everybody's kind of doing it a little bit different, right? There's no sort of playbook that anyone's working by, which I actually think is good because we don't need a playbook yet for this. But when you talk to folks, what is the thing that you're finding that they're struggling with the most?

25:16Nate Sokolić:You know, find them aside.

25:18Shane Driggers:Yeah, it's a great question.

25:23Shane Driggers:I think the modes of consumption are changing. And the definition of what you expect from someone that delivers you AI is very different than how people are used to consuming. So even very simply, before it was transacting, I said this a couple of times, but like SaaS is you're selling the opportunity to achieve ROI. General access, like there's a tool, there's workflows, and your ROI realization is going to be dependent on your person learning that tool and extracting value from that tool. And there's a glass ceiling on it. And change management's really hard at scale. Yeah. I think the promise of AI, if we do this correctly, is clear, measurable outcomes and ROI.

26:06Shane Driggers:And that doesn't necessarily, that doesn't have to be big, big things. It can be very small things. Right. And I think, you know, Jane's example of his talent in flow, outflow agent that he helped us build, right, I think is a very good example of a clear and measurable outcome that took someone a certain amount of time, certain number of steps that you can get in a consistent way. and that can scale up to more robust workflows. Yeah.

26:31Nate Sokolić:You know, I think one of the things that I hear, and I think you're touching on this, Nate, is that people are using a lot of things, some things we know about, some things we don't know about because there's so much out there and people can get access to these new tools, platforms, whatever you want to call them easily. but and and we survey our employees and they tell us they're more productive however we don't actually see more productivity you know in product innovation we don't see productivity directly correlating to the bottom line increasing revenue right so that's you know one of the things that I think some of the folks I'm talking about are struggling with like they're like We're using it a lot.

27:20Nate Sokolić:People are embracing it, some more than others. However, it's really kind of hard to measure because it's a little bit all over the place. And we're not seeing, even though people are saying they're more productive, we're not actually seeing that productivity in the business and impacting the bottom line. Shane, do you have any thoughts on that?

27:39Shane Driggers:I have so many thoughts. I think it comes back to a couple.

27:42Nate Sokolić:Do you hear the same thing or is it just the people I'm talking to? Okay.

27:45Shane Driggers:Yes. Yeah. Yeah, I think a few thoughts, maybe like the meta point, which is back to tech. And I think Jessica, you kind of touched this elephant. Oftentimes what I've experienced in the companies that I've worked for is that tech wags the tail of strategy. It's like, hey, there's this cool piece of tech and it's like, cool, like how are we going to use it? Instead of, hey, we have this problem that we want to solve. We built this strategy. What do we need to enable it? And so you have, anytime you start in that place, I think you're on a fool's errand. because you're going to drift so far from where you wanted to land.

28:17Shane Driggers:And then you're going to declare that it didn't work. Well, it didn't work because you didn't start with the strategy and say, what are we actually trying to accomplish? This is what company's biggest challenge today is. What is our strategy with AI? What do we want to accomplish? And then what must be true? What are those conditions in order to get there? And I don't think companies are taking enough time. They're treating it like a 20th century tool like SaaS or worse yet on-prem. Instead of this is a new technology, what do we want to do and how are we going to get from point A to point B without that ugly, messy middle where things go to die in a Venn diagram?

28:58Shane Driggers:And I think that is the opportunity.

29:00Nate Sokolić:Agreed. And one of the things that I've been talking to a lot of companies about is that you really have to, and you're touching on this, Shane, you really have to think about this from the first principle perspective. You have to kind of ignore your situation today because you cannot just slap on all of these things to your existing ways of working, to your existing organization. You actually have to kind of go back and saying, if we were creating this from scratch, how would we create it? What would we do? And I think a lot of folks are creating on top of what they already created, which isn't actually helping anyone.

29:43Nate Sokolić:And, you know, and you're spending a lot of money on tokens, whatever it is. And sure, maybe people feel more productive, but you haven't gone back and redesigned because that's really what you have to do. You have to redesign the work and not just, you know, what you're going to be doing in recruiting and how your recruiters are operating, but how finance is going to operate. And I think you also have to be very cognizant of, you know, the framework of what should be human led and what should not be, you know. And there's some things that can be AI led. However, maybe they shouldn't be.

30:30Shane Driggers:Yeah, I think that's a fair question. And where I go to is, you said this, Jessica, and the way I kind of manifest for me is that we're going to incur more tech debt. That I think is actually already happening. Yeah. We're placing technology on the edge of autonomy instead of placing humans there because that's where actually humans belong. And putting AI at the core of your organization so that things are connected. Like if you think about these integrated ecosystems that we work in, where strategy falls down is that it's not connected up to the top line of the company. And so you're working on a bunch of widgets that actually don't, that look cool, but they don't actually effectuate what you're trying to get after.

31:17Shane Driggers:and I think that's why companies need to slow down and say like how do we want to actually use this at scale what does that look like what do we not know and put those characteristics into your strategy and build so that you can measure them and test them and be aware of them not starting is not a good strategy and starting without enough thought sitting in the problem is not a good strategy and replicating the past is not a good strategy so I think this is why people are all jammed up on like, where do we go and what do we do? So we'll collect more debt and we'll test. And wherever you give your energy and attention to is going to take you away from the things that you truly should be giving your energy and attention to.

31:57Shane Driggers:So then it comes to what as operators we always face is how do you prioritize the work of a team?

32:02Nate Sokolić:Yeah.

32:03Shane Driggers:Which is really difficult. Getting down to the task level of jobs is going to be really, really important. And John Boudreaux, if you're familiar with John, you know, has spent his whole career, you know, researching and looking at the ways in which people work. Because that's what it's really about is like work gets done through other people, whether that's through a human or through a bot. And now it's more complex because now you got to think of two personas that are very different. And how are they similar? Right, right. If I may add to the best, the worst strategy is not leaning in at all.

32:36Shane Driggers:And I think the best strategy is people are people who are finding small, pragmatic, practical ways to enter into the journey. And, you know, and I think, and I've said this a couple times here, and I really do believe it's a differentiator of what Findem has to offer because there are different modes, like we have the data, but we have different modes for how you can consume SaaS, whatever it is. Many of the partnerships that we're entering into right now are two, three year transformation partnerships with the goal of maybe starting in SaaS, consolidating the tech debt and trickling in agents in year one in particular places with the practitioners like myself, where we're making sure that they meet you where you're at.

33:15Shane Driggers:Right. And then trickle more in year two, trickle more in year three and transition off of maybe some of the legacy modes of consumption. And I think, you know, this motion doesn't have to be zero or a hundred. It just has to start somewhere, wherever you're comfortable. And you're going to know that as a leader, you're going to know what is the appetite for technology? Who are the people that you have? What's the culture? What are the constraints? And figure out what's the right trickle and where are the biggest pain points. And the reconciliation of that is the starting point. And then with proof points, if the whole premise of AI is ROI, the proof points will be clear and trickle in a little bit more, find the next problem.

33:51Shane Driggers:trickle on a little bit more. And I think that is the way where I'm seeing people who are, you know, who have achieved impact. They started small, right? And they found the way to start, won't take them on that journey.

34:02Nate Sokolić:Yeah. I think that that's good advice. It's similar advice that I give. You know, Shane, I want to talk to you because, you know, we both held the role. I was also called the chief talent officer. And so we've both been, which, you know, was complicated when we became an entertainment company and, you know, I was getting scripts and, you know, headshots. But, you know, HRO role is really complicated, right? You said in it, I often describe it as the hardest outside of the CEO, because CEO is pretty hard too. But outside of that, it's the hardest C-level role because it has so many different things coming at it.

34:46Nate Sokolić:So you, of course, are the HR, you're the compliance, you're the recruiting, you're the talent, you're all of those strategies. Then, you know, you're the chief diversity officer. You're also the COO in many ways. And now all of a sudden you just got this new promotion. You're also the chief AI strategist, right? And so we just keep getting promoted, which is interesting. We don't get the salary increase to go on top with all of those promotions, but that's a different discussion. But there's a lot in this role and it's really complicated. And I think I see a lot of CEOs getting frustrated because, you know, we all know that they want things yesterday and they like to see impact and work.

35:42Nate Sokolić:But this is a little complicated and a little hard. So what's your advice to the CHROs or the head of people at various different companies to navigate not only the relationship with the CEO and how to help strategize through this evolution, but also the rest of the team?

36:03Shane Driggers:I think that there's a number of us, certainly the three of us, that have grown up in systems that were created for us. And we have worked within those systems. We have iterated, made things beautiful that weren't beautiful, things that were complicated, simple, all amazing things. But we didn't create the system. And my point on this is that in human resources, not only do you have to be a human thinker, you must be a system thinker. and we know you must be a business thinker. So it's three distinct interlocks. And the system one is coming, I think, to the forefront right now in a very profound way because if you can't think of the wiring, the architecture on the back end, I think it paralyzes people.

36:52Shane Driggers:And I just had this conversation with a former colleague and I think we need to build a bridge. There has to be a bridge for people to go over and not everybody is capable of building that bridge. So who in your organization does think in systems, does think in a business context, and also is able to connect the human. And that's where the magic is at. And so don't try to add bullshit on, for lack of a better word, to your current architecture and your tech stack. Start with a blank page. And that's where you got to start to think in those spaces.

37:29Nate Sokolić:I agree. And, you know, everybody's always looking for like what Meta did, what Google did, right? But like, you know, I think and whatever you're trying to solve, you need to think uniquely about your business. But I think in this context, you certainly have to think about uniquely about your business. There's no playbook that is going to be designed for you, right? And this is about your business, which is different than any other business. and your people are different than any other, you know, businesses people. So yeah, I think you're right. And I would, I would give the same advice. And, and, you know, again, you, this is a massive opportunity, I think, for the people function, if we can step up to the plate and, and, and hopefully we will.

38:16Nate Sokolić:But if you, if you, if you can be that strategic partner for, for your business and help them redesign how work is going to work for the future and, and actually how that's going to, you know, impact the bottom line, you're going to, I don't know, you have that opportunity to do this right now. So I just hope everybody's taking it. Yeah.

38:40Shane Driggers:I always thought, Jessica, that the dot-com boom was like the gold rush of our time. And it most certainly was a gold rush. This is it. This is orders of magnitude greater. Yeah. And I spent time at the TED conference, which was ironically titled AI and Humanity. and no one at the time, this is about a year and a half ago, had an answer on humanity. It was everybody was like looking through each other's skulls. It's like, oh gosh. But there's opportunity. And if you are willing to participate in it and understanding where you have gaps, being curious about those gaps, seeking others to your left and right that have that strength and leveraging, it all goes back to curiosity and growth mindset.

39:21Nate Sokolić:Yeah.

39:22Shane Driggers:Because if you fall back on what got you to this place, you will fail.

39:28Nate Sokolić:Yeah. Agreed. Goodness. So much pressure. There's so much pressure. Okay. We're running out of time, which is super unfortunate. You know, I'm going to do what I do to all of my guests, which is put a little pressure on both of you. And I always ask my guests to leave the listeners with something inspirational. So what, what do you want to leave us with today? Nate, you're first.

39:52Shane Driggers:I think it's on the heels of everything that we've said. I mean, I think Like now more than ever, the ability to write your own story, you have more tools than ever to be able to do that. And I think the impacts opportunity is greater than ever within an organization because those levers can be really personalized. But I think you just have to make sure that you are, like you said, very reflective on what your organization needs, what your problems are. And now the tool set is so expensive and the partnership motions are so powerful that you can solve the real problems that you guys have inside of your organization.

40:29Shane Driggers:So, you know, being really introspective will actually, I think, push the needle both in terms of dollars, but I think more importantly, in terms of just like broader impact on what your team can do.

40:40Nate Sokolić:Yeah, absolutely. All right, Shane, your turn.

40:43Shane Driggers:yeah I I think that for what's front of mind for me and I don't know if those listening will find this inspirational but the intent is that which is we're in society as a whole and then the microcosm of that inside of each company we know what that looks like we went through COVID and all these things in life then things that codify us and things that separate us but what I would encourage people to lean into is understanding that society is brittle, it's anxious, things are nonlinear, and they're incomprehensible right now. That is the state of mindset for many people. And so as a result, they're breathing in fear.

41:25Shane Driggers:Help them breathe in oxygen. Tell them you don't know exactly what's going on, but you're following the puck. I think the ultimate currency moving forward in this world is transparency. And as a leader, if I'm speaking to the leaders, whether you lead people or you're a thought leader, speak from a place of truth because that will connect and codify you. If you're going to give the old corporate bullshit one-liner like, well, yeah, it's not going to land. People are, it's not, I'm telling you. So like, just speak from your truth and find the solutions together.

41:59Nate Sokolić:The truth works. The truth works. Name of the podcast. But anyways, that is true. And both, thank you. that was both inspirational and thought-provoking. So I know our listeners are going to take that into their week and hopefully do something with it. And just, y 'all, follow the puck. Nobody has all the answers. Follow the puck. That's great advice. Thank you guys so much for coming on today and telling your stories and talking about Find Em. And y 'all, listen, go out and look at Find Em because it is pretty, pretty cool. I think you're going to like it. You may become a fan just like Shane.

42:35Nate Sokolić:and maybe you'll work there just like Nate. Who knows? Thank you guys both for coming on the show and thank you to Fynne. We're so excited to be partnering with you.

42:45Shane Driggers:Thank you so much. Thanks, Jessica. So much fun.

42:47Nate Sokolić:Thanks for listening to TruthWorks.

From the publisher

Nate Sokolić started and sold companies in college, spent three years in executive search at Russell Reynolds, then led the firm's AI strategy, where he brought Findem in and rolled it out globally. He now works at Findem, helping HR leaders and talent teams adopt AI. Shane Driggers has spent close to 30 years in human resources, starting in Bay Area startups during the dot-com boom and most recently serving as Chief Talent Officer at T-Mobile. He now advises growth-stage companies.

Most companies are already using AI. Employees report that they feel more productive, and budgets for tools and tokens keep climbing. Yet very few leaders can point to the result in product innovation or revenue. Nate and Shane argue that the problem is rarely the technology. Companies are adding AI on top of workflows and org structures that were designed for a different era, and they are letting the tools set the strategy instead of starting with the problem they want to solve.

In this episode, Jessica sits down with both of them to talk about what it takes to make AI deliver measurable outcomes, why the people function has one of the biggest opportunities in the business right now, and how recruiting is changing from searching keyword profiles to getting verified, finished work back from AI agents.

In this conversation, Jessica, Nate and Shane discuss topics such as:
◼️ Why "tech wags the tail of strategy" and how that derails AI programs
◼️ Why employees feel more productive while the business sees no gain
◼️ How to redesign work from a blank page instead of rebuilding the past
◼️ Why AI is creating a new wave of tech debt inside large companies
◼️ How to decide which work should be human-led and which should be AI-led
◼️ Why HR leaders must be human thinkers, business thinkers and systems thinkers at once
◼️ How the CHRO role quietly became the company's chief AI strategist
◼️ Why the best AI adoption starts small, proves ROI, then expands year by year
◼️ How recruiters can search for real experience, like a CFO who has taken a company public
◼️ Why shifting from SaaS tools to AI agents changes how companies buy and use software
◼️ How Findem Studio produces market maps, succession plans and talent inflow/outflow reports
◼️ Why every AI output needs to show its work before a leader can trust it
◼️ Why transparency is the most valuable currency a leader has in an anxious workplace

This episode is sponsored by Findem. Findem is the AI infrastructure for people decisions. Its People Intelligence platform turns fragmented people data into context teams and AI can reason over, and act on. The 3D People Graph connects billions of data points across individuals, companies, and time. Expert labeling translates that data into consistent, evidence-backed signals about experience, capabilities, and relationships, with explainability behind every insight so teams can act with confidence. Findem's agents and enterprise applications run on this foundation, and partners can build on this infrastructure and bring the same intelligence into their own products. Findem is trusted by FedEx, Intuit, Nutanix, and Emirates.

Learn more about Findem: https://www.findem.ai/platform
Truth Works is hosted by Jessica Neal, bringing honest conversations with the leaders shaping the future of work.

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