Leading Your New Employees: AI Agents

Every disruption gives leaders a brief moment to see what’s coming and move first. AI is that moment right now, and the uncomfortable truth is that “AI that helps me write an email” is already old news. I break down the real shift underway: moving from basic chat assistants to autonomous AI agents that can act across systems, keep working over time, and report back when the job is done.

In this episode of the Lead In 30 Podcast, Lone Rock Leadership co-founder Russ Hill starts with a surprising case study: Walmart. Their internal AI assistant, Wally, helps merchants decide what goes on shelves and how it’s priced by turning hours of analysis into seconds of insight. Then we step into chapter two, where tools like Claude point toward agentic workflows, multi-agent teams, and reusable “skills files” that remember your business context so you can stop repeating yourself and start directing outcomes.

To prove this is bigger than hype, I walk through how JPMorgan uses contract intelligence, how IBM automates the majority of routine HR questions, and how Salesforce uses Agentforce to handle customer support at scale. The takeaway is simple and urgent: the job of a leader is changing from doing work to directing work, and the differentiator is judgment. If you want to stay valuable, you need to learn how to assign tasks to agents, validate results, and focus humans on trust, influence, and decisions that actually require a person.

If this challenges the way you’ve been using AI, share it with a teammate, subscribe for weekly leadership signals, and leave a review with the one task you’re ready to hand to an agent first.

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Visit the Lone Rock Leadership Website:
https://www.lonerock.io

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https://www.linkedin.com/in/russleads/

Tap here to check out my first book, Decide to Lead, on Amazon. Thank you so much to the thousands of you who have already purchased it for yourself or your company!

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About the podcast:
The Lead In 30 Podcast with Russ Hill is for leaders of teams who want to grow and accelerate their results. In each episode, Russ Hill shares what he's learned consulting executives. Subscribe to get two new episodes every week. To connect with Russ message him on LinkedIn!

Transcript

The AI Warning Window

SPEAKER_00 0:00

Every major disruption in history had a warning window, a moment where the leaders who were paying attention pulled ahead, and the ones who were waiting got left behind. We're in that window right now with AI. And most of you, most leaders, are asleep at the wheel. A lot of you think that AI, oh, I know what that is. Yeah, it helps me write a better email. It helps me plan a trip. It gets me information. That's chapter one of AI. It's over. Today's episode: what does chapter two look like? And what you can't afford to be missing out on right now.

SPEAKER_01 0:41

This is the Lead in 30 podcast with Russ Hill. You cannot be serious. Strengthen your ability to lead in less than 30 minutes.

Walmart Builds Wally For Merchants

SPEAKER_02 0:53

It's time to end the confusion. Get the new book by the founders of Lone Rock Leadership. See why executives at Lockheed Martin, Cygna, Teva, Chili's, and so many other companies are praising Deliver. Why some leaders get results and most don't. You can download the first chapter right now and request two free copies shipped to you at LoneRock.io.

Chapter Two Means Autonomous Agents

JPMorgan IBM Salesforce Put Agents To Work

Leadership Shifts To Judgment And Efficiency

A Real Example Using Claude

SPEAKER_00 1:18

When I say the word Walmart, you don't think of like tech savvy cutting edge, do you? Like, absolutely not. You've got images in your mind that um, yeah, probably aren't state-of-the-art to put it kindly. Walmart, though, number one still on the Fortune 500 list, over 2 million employees, 600, almost 700 billion in revenue. The biggest employer in the United States of America, headquartered, of course, in sleepy little Bentonville, Arkansas, a town in the Ozarks. I've been there. I've told stories about uh being in front of all of the Walmart uh senior team, and in fact, you know, hundreds of their managers. They've they've got a brand new 350-acre corporate campus, 15,000 corporate employees that show up every day in Bentonville, Arkansas. Inside that campus, there's a role called a merchant. The job of a merchant. Now, you wouldn't think of that term describing this position, but it's the way that Walmart describes it. Inside of the corporate headquarters are these merchants, there's a ton of them. Their job is to decide what goes on the shelves of every Walmart store and what it's priced at. So part of the strategy, or part of what they do is strategy, part of it's analytics, obviously, relationship management with the vendors, all of that. What bread, which TB, which shampoo is going to be on the shelves. So they spend their days looking at tons of data, right? Well, the old way was brutal. The merchant would try to figure out why that why do we have protein bread flying off the shelves in Texas, but nobody's purchasing it in Ohio. So in order to answer those questions, the merchant for a lot of years has had to analyze all of this data, look at the sales across every store, every market, every region, break it down by channel, in-store, online, pick up delivery, then by you know the different types of bread, then by brand, and running those numbers. Can you imagine doing that? Using like that's your job. What would your what would your desktop look like? The the Excel windows that are open, just to answer one question. So Walmart built WALLE. And WALLE is an AI assistant built specifically for merchants. So it looks like a chat interface. It's like when you pull up Chat GPT or Claude or Um Jim and I or whatever AI tool you use on a browser window, which is one way, quickly becoming the outdated way. We're gonna listen to this episode like in a year from now, maybe two years from now, and die laughing at the way we used to use AI. So anyway, Wally's built on a browser window. And there's no technical training involved, no coding, no spreadsheets, just like when you use Chat GPT or Claude or whatever else. By the way, I'm gonna talk more about Claude in a minute. If you're not on Claude right now, you are getting left behind. And I feel so bad because most of you, your corporate jobs, your company jobs require you to be on a Windows machine. So you don't even have the Claude desktop app, a lot of you with all the capabilities that a Mac has. Unbelievable. But that's for later in the episode and a subset of what we're talking about. So you open up the browser window, Wally comes up, you type in in plain English, why is my product not performing in the Northeast? Why is our margin on private label coffee, or what is our margin on profit uh private label coffee beans, right? So then Wally pulls that data, compares it against benchmarks, flags, different things like demand shifts, supply delays, and gives you the answer. How long does that take? Seconds. Work that used to take hours. You get the information in seconds now. The merchants love it. They love Wally. And keep in mind that this is Walmart, not a tech startup, the most blue-collar everyday American company on earth building AI tools for the person that's deciding which bread goes on the shelves in Bentonville. When did they build Wally? Not in the last few months. They've been working on this for a while. Now, that's impressive, right? But that's chapter one of AI. A lot of our companies aren't even in chapter one yet, right? Like the the first chapters, and and these chapters are moving quick, right? Like you so fast. But chapter one is, oh my gosh, this is so amazing. I type this question into chat and it gives me the answer back in seconds, like, oh, and then and then chapter one is I upload this spreadsheet and it's able to give me this answer really quick. That's chapter one. A lot of you aren't in chapter one yet. You are your market value is diminishing faster than I don't know what. Come up with your comparison. Like, you gotta now the good news is you can catch up, but you gotta get to you gotta go to work on this. So that's chapter one. AI responds when you talk to it. But what most of you don't realize is that chapter one is over and we're moving into chapter two. So Microsoft's EVP executive vice president, um, Judson Augov said in a conference last year that co-pilot for Microsoft was chapter one, agents are chapter two. What do we mean, chapter two? What are agents? Some of you know, a lot of you don't. So, chapter one, AI that responds when you ask it something. Chapter two, AI acts on its own without being asked, autonomously, across systems, over time. So, for instance, one of the things that people are freaking out about over the last few weeks is that Claude, which is made by Anthropic, right? So if you don't know what Claude is, you're like, who's Russ talking about? This dude, Claude. No. ChatGPT is one product. Then you've got Jim and I from Google, right, which is their AI product. And then Claude, C-L-A-U-D-E, Claude from Anthropic, is the uh, and and Claude was kind of the sleeper. I we've been using it for writing, for books, for um, you know, white papers, position papers, data. It's been unbelievable at that the best, but suddenly it's now unbelievably above every other AI tool. Now, that might be outdated in like a week or two or three, because these companies are so competitive and they are pouring billions of dollars into RD, and you can't keep up with the product launches. But at the moment I'm recording this. We'll put this out late March, early April of 2026. At the moment I'm recording this, Claude just like leapfrogged everybody because it's able to take control of your computer, it opens up browser windows, it does all these things for you, which to some of you, you some of you are like, oh my gosh, that's so unsafe. Yeah, you're getting left behind. Like, just you know what? Like, just start planning your retirement. Because even if you're 25, like it you're getting left behind. Yes, there are security concerns, and yes, all those sorts of things. And I know that a lot of you work in big corporations and you and some of you work in industries that are super regulated and whatever else. And so you whatever. You know, you've got all these concerns and all these restrictions. That's fine, but that doesn't affect you as a human being, as an individual. You can't allow that to keep you behind, otherwise, get ready to work it like you know, the the company that that's that's making horse feed in the age of the automobile. You know what I mean? So um let's talk about um let's talk about AI agents. So Wally at Walmart would be like a really smart employee that you have to walk up to and ask a question. An AI agent is like an employee who shows up Monday morning, already knows what needs to happen, goes and does it and reports back when it's done. In fact, what I would even tell you is that an AI agent, one of the beautiful things about it is it actually doesn't show up Monday morning because it doesn't ever leave. It doesn't take a sick day, it doesn't call out, it doesn't need a weekend, it doesn't have kids to pick up, it doesn't have drama and issues and all it's ready to work 24-7, never a sick day, doesn't like, doesn't need a holiday, and wants to do whatever you can do. So that's the agent, right? And then now we're getting into multi-agent teams. So for instance, we're working on a marketing thing at our firm, and I had I had a team of agents. I know for some of you this is so hard to figure out. Just think of it like I've got 10 different windows of ChatGPT open at the same time, doing different searches, finding different data, actually analyzing it, thinking it, coming up with additional questions to ask, going and using uh tools online to be able to search through databases, finding the data, verifying it, coming back, talking to the other window of ChatGPT, comparing their notes. Some of them are working on marketing, some of them are on sales, some of them on products, some of them on whatever, and then they come back, they compare their notes, and they report back to me what they found, and they do that all in not seconds usually these days now, teams of agents, but in two or three or ten minutes. Right now I've got teams of agents working on tasks that take them hours because the the ask is so complex and they've got so many different things that they're working on. And and then you get into, and I this isn't an AI episode, not a technical episode, but you get into then like skills files where you're it you you shouldn't be in the place now where you're asking whatever tool you're using, Claude or whatever it is, you shouldn't be using telling it all the time, by the way, we are a company that does this, that, and the other, and you need to know that our target customer is this, and this is the kind of voice that I use. Those are all now contained in skill skill files. So for instance, the other day, I opened up Claude on my desktop on a Mac, and I spent probably, if you were listening or watching me in my office, you would have died laughing, right? Especially if you were in a time machine and came from, you know, the year 2020, you would have died laughing. Um, because I was just talking literally for about I would say 45 minutes. Legit. I was just talking to Claude. Hey, Claude, so Lone Rock leadership is this company, and we've got the executive consulting side of our firm which does these sorts of things, and this is what the contracts on that side look like, and this is what we typically do, and this is where era executives typically need help. Now, on the training side of our business, here are some things that we're dealing with, and these are the people that um that lead those departments in our firm and that do these sorts of things, and that's what they do, and these are the biggest challenges. We're having this conversation and it's asking me questions back, and we're having this conversation for 45 minutes. And then I ask Claude, okay, take all the stuff I just told you, build that into two different skill files. One is our masterclass growth strategy document, and I want another one that's saved into company information. It saves these things, it has me click on save, and now I never have to tell Claude any of that information ever again. It knows all that about our firm, it knows all that about our master class growth strategy, and it's all plugged in. And it's ready to go to work on it. That the that's agents and skills. Okay? So let's talk about JP Morgan Chase. You guys are all familiar with JP Morgan Chase, right? Obviously, a massive financial institution. They uh they operate in 60 countries, over$3 trillion in assets, and uh, and every year their legal teams review about 12,000 commercial loan contracts. And those are the agreements, obviously, that businesses sign when they borrow money, right? So this is just one area of what JP Morgan Chase does. So it's mind-nubbing work, but it's got high stakes attached to it. You're checking clauses, you're flagging risk, you're catching errors. It used to be that JP Morgan Chase spent about 360,000 hours. The company spent about 360,000 hours of legal review every year just reviewing standard commercial loan contracts. So JP Morgan built Coin C-O-I-N, Coin, which stands for contract intelligence. So now every contract that comes into JP Morgan Chase, they don't, it just automatically is reviewed by coin. And it can do that work in seconds. Comply they've been and and JP Morgan Chase, guess when they built coin. You're probably thinking, well, probably maybe if they were on the cutting edge back in 2023, 2024, maybe no, they built it in 2017. I had no clue. Where was I? I didn't even know that AI was a thing like before like six months ago. Okay, maybe a year or two ago. But I had no idea that that there was all this AI work going on. It's like the internet existed, you know, um back in the military ages and then it came to consumers. Same thing with AI. So the lawyers at JP Morgan Chase obviously have not disappeared, but the ones who are have higher market value now are directing AI. They're not doing that work of reviewing all those contracts. They're review that they're directing the AI agents. So let me give you some other examples that um I think you'll find interesting. IBM. Yeah, I didn't know IBM still existed either. No, uh obviously IBM is a company that's way past its heyday, but it's still out there and it's cranking, right? One of the most recognized companies in the world, over 100 years old. So in their HR department, some of you, this will scare you. Don't be scared by these things, you all. If you're walking around scared, petrified, nervous, apprehensive in a defensive position, you are gonna be left behind. So, in the HR department, 94% of typical HR questions that are asked by the gobs of employees at IBM, now 94% of the typical HR questions go through IBM's AI agent. Questions about benefits, policies, processes, all of it automatically. Within IBM, the role of HR business partner is almost completely gone. They still have senior HR business partners, but all of those mid-level managers in that role have been replaced by AI. And it's supposedly inside IBM, the data is people feel like they're able to get answers from HR faster than they ever could. Now, again, some of you are going, oh my gosh, that's so sad. Like all of those jobs. No, they transition to different roles. Again, you all, are you lamenting the people that you know used to like clean horses on Main Street? Like, can we please move on? Yes, the markets shifts, jobs are eliminated, they move into different jobs, into different roles. It's not like, oh my gosh, the end of the world's coming. No one's gonna have a job. That is so bogus. It it shifts, industry shift, departments shift the way organizations look, moves, right? Think about like even food delivery, all those people delivering groceries, doing Instacart, or doing DoorDash or delivering food, none of those roles existed. But we still got people working in the restaurant, but we've also got all the anyway, Salesforce, another company. Many of you, if you work in sales, if you're a sales executive, the word Salesforce, you rejoice over it because you're like, oh my gosh, that gives me all my data, whatever. If you're a salesperson, you um you're having PTSD pains right now because of how many times you've been told in your career, put that data in Salesforce, right? So Salesforce is a monster, right? The one of the biggest SaaS companies, software as a service companies, right? They've got this thing called Agent Force. And before Salesforce, Agent Force is like an AI um tool inside Salesforce. This tool, Agent Force, now answers most of the customer service requests, the questions, the needs that customers have across all these enterprise clients that are coming in of how to use the software. So Mark Binioff, right, who founded and and heads Salesforce and is viewed as really, you know, an innovator, he he he doesn't call the the agents and remember the term agent now means like a bot. So that's just the new definition for agent. So most of you already know that, but a agents agents are the chapter two of AI. So the inside Salesforce, these agents handle questions, inquiries, all these sorts of things. They they have allowed Salesforce to reduce their customer support workforce from 9,000 people to 5,000, basically 50%. Support costs inside Salesforce have dropped 17%. And and so Mark Benioff talks about this agent force, and and if you were to listen to him in a podcast interview or on stage or on a panel somewhere talking about it, you would think agent force was like a force of workers. Like there it's almost like he's talking about humans. He does call them workers if you hear Mark Benioff talk about it. And you're just gonna get used to that. And uh one of the things that uh is really interesting in in the second chapter of AI is that we're actually now starting to give these agents names. And so it it can be confusing. For instance, inside Lone Rock, one of the agents that I use, I call him Henry Claw. Henry Claw is an agent that I've got on a separate machine inside of my home office now that never goes off. The screensaver is turned off, the screen is always on, I can text it on my phone, and Henry Claw, if you hear me talking about Henry, you would think Henry was like an actual employee of Lone Rock Leadership, and he's not. In fact, it's not even a he. It's just Henry is a bot that's always working and handling a bunch of needs that I have in my role as one of the founders and leaders of our of our firm. So that is the that is the age of agents. So where am I going to? Let me let me bring this all together and and give you kind of the point of all of this. Your job is changing. I I don't care if you're on the executive team of a Fortune 50 company, if you are a mid-level manager, a VP, a director of a Fortune 1000 company, or you got, you know, 1,200 employees, or you you're in an organization with uh 300 employees. The job of leader is changing from doing to directing. I have talked about this. I wrote about this in my very first book, Decide to Lead. And I told a story about how the leader's job is to lead other people. I mean, obviously that's the term leader, right? We're leading other people. But some of you aren't very good at this. And a lot of our mid level managers and frontline supervisors and people, as we promote them into management, they really struggle with no, no, no, no. Your job is not to do the work, your job is to direct the people who are doing the work and to drive efficiency on that and effectiveness and really develop them and do all those. Sorts of things. AI is going to make that tenfold. Leaders aren't the ones who direct it all or know the most or work the hardest. They're the best at judgment. And in this new age, chapter two, deciding what AI should do, catching what it gets wrong, and helping humans to do the work that actually requires a human. We've talked about this in our leadership reality report. If you go back several episodes when we issued this, by the way, I had no idea how much that was going to catch fire. You can go to our website, LoneRoc.io. If you haven't gotten the leadership reality report for 2026, I promise you you want to download it. We've got it in PDF form. You'll see something pop up, or somewhere on our website, LoneRoc.io, you can go get it. But one of the things we talked about was this whole idea about the value of humans now is in is in end-to-end leadership. And we we called it um network fluency and networked influence, and to where you're able to really build trust, you're able to read the room, you're able to work across um functional boundaries or department lines. That's the value of a human. The actual getting the tasks done, it for in some of you, it will take several years before this is a reality. In others of you, you're in industries where this is the reality now. The tasks of people's job are being replaced by AI. And it's just the speed at which this is going to happen is just remarkable. Efficiency is now a major question. And you all, I really feel, and I know I'm patting myself on the back a little bit here, I really feel like I've been keeping you ahead. If you listen to this podcast on a regular basis, because I work in a leadership lab, the nature of what we do in our firm is we're with all these companies all the time, and we get paid to deliver value and keep these executives ahead. So I've been talking in these episodes about this. Excuse me. If you go back, like I don't know, six months ago, a year ago, I was doing episode after episode about efficiency speed. You all, I'm telling you, you've got to be driving efficiency. That's the name of the game. That is the name of the game. And I and I hope you've been paying attention. I hope you've been thinking about it. If that's been driving you, and efficiency, you all, is not slicing and dicing. Don't get this wrong. I hate that. I'm I'm not about that. I'm about growth. I'm about driving additional revenue. I'm about creating new opportunities, about figuring, you know, solving problems. But you've got to do it in the most efficient way possible. And so many organizations are bloated. The amount of time it takes crap to get done, and some of you, if you've been in the same company or you've been working in an industry for 20 years, you can't even see it anymore. You're numb to it. The amount of meetings that have to take place, the amount of data that has to be reviewed, the number of the hesitancy by people and the fact that they won't move quickly, and you have to explain it 14 times, and you have to do all these different things, and you have to create policies and whatever, yeah, that day and age is changing. And again, for some of you, it'll take a few years for all of this to play out. Others of you, you're on the cutting edge of it. You know what it is. And if you're driving this to where where can we have teams of agents doing this work, and then what is the role of the human in this? So the biggest risk right now is getting left behind. And you all you've got to be spending time on the weekend and the hours. You gotta stop one of the Netflix shows, and you gotta spend time listening to certain podcasts. The all-in podcast is fantastic, and some of you may not like the characters in that or the people that are on that. Um, what's the other one that's that's I mean, there are several AI podcasts, a lot of them suck. Um, but there are a few. Let me look up. I'm actually like literally getting on my iPhone right now. Um let's see. Uh what is this one? Moonshots is interesting. Um, Moonshots. Uh a lot, I I I would say out of the all the episodes they put out, I probably like um 10% of them. I skip all the rest. But there they have and and they've got some really dry people. It reminds me of those of you, this will age me, but some of you remember PBS. Like you, if you watched this show on PBS Public Broadcasting service a long time ago, back when there were 10 channels on TVs, I'm talking like 80s, you all. Um, Moonshots is kind of like the PBS, um, like the news hour type of show. It's pretty dry, the personalities, but they're brilliant. They're just their presentation's not super interesting. But they're they're they if you listen to a podcast like that and you you know, you know, you listen to some of the episodes, and they're way too long. The episodes are like an hour or two or three long. Way too long. But but you you you you it will help you stay on the cutting edge. The all-in podcast is the contemporary version of that. The reason some people don't like it is because they do get into pollux uh politics a decent amount. Um, but brilliant people who um are on the cutting edge of it. The um the the diary of a CEO, I uh nah, I mean that's an interesting podcast sometimes, but uh I'd say five percent of those are interesting. Anyway, I'm trying to give you some way. Then it YouTube, if you go into YouTube and you start looking for, like you could literally go to a search of AI agents, AI Claude Cowork, AI um, you know, whatever. And and what I'm trying to get you at is you gotta spend time like uh getting educated on this stuff. And so you got to spend a little bit less time on Instagram or you you or Netflix or whatever the crap it is your your thing, and you got to spend some time on YouTube, on a podcast, whatever else. The place to not stay ahead is Harvard Business Review articles. Like, please, no. The the way to not stay ahead is to read these old traditional news out, like I'm gonna go to Yahoo News and look, are you kidding me? No. So it's podcasts, it's YouTube videos, it's some different, hopefully I'm helping you with that as well. Um, and you'll find tools out there. My point is you've got to invest some time to stay ahead of this. You don't need to know every AI detail, but if you are gonna be a leader that's creating value, that's gonna have your market value going up in the coming years, months, you've got to know what's going on. You've got to be digging into it. And if you're using Chat GPT in chapter one, like, oh, but I have the app on my phone and I type in and I ask it sometimes, you know, what what's the best vitamin for my sleep deprivation? Yeah, welcome to 2025. Like that's where we were literally six months ago. It doesn't work anymore. So if you're not uploading documents, if you don't have it connected to drives on your computer, if you're not using agents, if you're not in cowork, if you're not dipping into it, creating apps or creating like presentations. I've got, I'll give you a quick example and then I'll wrap. So, for instance, I've got a meeting coming up next week. It's with the leadership team of our firm. So every six weeks we're off site. What once a quarter does not work for us. And because we're traveling so much and we're all over the place, we just do it every six weeks, plus or minus a week, and we get together for one day, and and then we're boom, onto the next thing. And we literally meet from like 9 a.m. to like 3 p.m. and then we're out. And uh we fly in and whatever else. And and so I've got this, I've got this um meeting coming up, and um, and I want to review there's a certain strategy that's part of our business that you know Q1's wrapping up at the time I'm recording this. We've had a phenomenal, record-breaking, unbelievable um first quarter of the year. Our years start off uh insane, and and and by the way, none of that's by accident. It's all from the effort we made last year. It the plan just played out. We you know, usually your plan plays out like the 90%, right? In a bad quarter, like 75%. A good quarter, like 90%, 95%. Yeah, ours was over a high, like we like it played out phenomenal. So amazing. Now, I know every quarter won't be like that, so don't get me wrong. But so we've got a part of our strategy that is just on fire. It's just amazing. And so I need to update the team and review some things. So I've created um a presentation, and I've spent hours with Claude on it, and it's basically it's it's it's a website, it's an app. Um, not on your phone, like an iPhone app, not that, but they call it an app, and Claude has built it for me, and it's a customer journey. I took one customer and one organization that was new to us in December and and and and and and tracked all this stuff, and I had Claude look at all the data. So it's going into our CRM systems and different things and marketing and that and whatever. It's looking at all the emails that have gone back and forth, and because I want to make the case of this journey. And so I had to create a timeline. You can scroll through it, and it's phenomenal. Unbelievable. I never ever would have been able to show that. It would have been like a PowerPoint slide that I created that looked like crap three months ago and no animation and no whatever. And this thing is amazing. Number one, I wouldn't have been able to create the slide because I wouldn't have had all the data that AI gave me about when did we find that customer? Where did that potential customer come in? What was the first thing that they did? What were the emails that went back and forth? How did we do that? What did this happen? Whatever. Map that whole thing, show me this, do that, and then create an app that I can show in a meeting. Oh, the font's not big enough. You need to do that, animate that, boom. That's what I'm talking about. You gotta be ahead of it. If you're not doing those sorts of things right now, don't worry. You can get caught up, but you gotta get caught up. The le like I said at the beginning of this episode, history is full of examples, you all. Every major disruption had a warning window. We're in it right now. Don't get left behind. That's what's on my mind in this episode of the pond.

SPEAKER_01 32:15

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