AI Hiring Revolution - Chris Faulkner Agent Blueprint Transforms Talent Acquisition

all the new businesses that are coming up now. I can't think of any new business coming up now that would not be AI first. Like it's amazing what you can do with AI as an entrepreneur starting a new company. It's it's crazy, you know, all this stuff. They go on for days talking about all the tools that we use. So, I think startups and early adopters are going to drive the ones that decide not to. I mean, I guess that's probably that's my opinion anyway based on what I'm saying. >> Hi, my name is Demetri Bonichi and I'm a content creator, agency owner, and AI enthusiast. You're listening to the AI agents podcast brought to you by Jot Form and featuring our very own CEO and founder Idkin Tank. This is the show where artificial intelligence meets innovation, productivity, and the tools shaping the future

of work. Enjoy the show. Hey there and welcome back to another episode of the AI Agents Podcast. In this episode, we have Chris Falner, the co-founder of Agent Blueprint. How you doing, Chris? >> Good to meet you. Doing great. Thanks for having me on. >> Yeah, for sure. We're really excited to chat uh with you. There's uh a lot of really cool stuff going on in the world of AI and AI agents and we're always excited to get somebody new uh on the show to chat about their product. So, please without further ado, tell us a little bit about uh the AI uh landscape uh from your perspective. How did you get into it first and foremost? And uh not only how did you get into AI, but how did you get started with agent blueprint? Yeah. So, uh, getting into AI goes kind of

back to my my early career. I got out of the Air Force as an aircraft mechanic and got off the Air Force in college and then, uh, right out of college, became a web a web developer. So, work with like ASP.NET, C#, that kind of stuff, like a front-end developer. Um, so I was in tech pretty early. Um, then I found myself at Service Now, uh, which is a big one of the biggest cloud SAS platforms out there. It's a work, you know, workflow platform. Um, and it turned out to be a pretty good decision because it was pre-IPO. Uh, so you know, now they're, you know, the rocket ship that went off. So it, uh, it actually worked out professionally and, you know, financially. Like can't retire yet, but you know, it was a pretty good, yeah, pretty good deal. Um, so I was

a service now for 10 years and during that time, you know, because I joined Crowd Pill, like I said, so they're kind of like still in that startup mentality, but they had like Frank Slubman on the CEO. So they're really going into this growth, crazy growth stage. Um, and I was a technical consultant doing a lot of development type work. Um, and then they sent out this email. I remember I was at at our our sales kickoff and uh, it was asking if anyone wanted to move to Australia um, to help grow the mark, you know, because they're growing expanding out into, you know, Asia and APAC. Uh, so it's like I had no feed. I was, you know, wasn't married or anything. And so I raised my hand and they let me go and, uh, so I basically like I sold everything I owned

except for two two luggage bags. and uh they moved to moved to Sydney, Australia. Um amazing experience, you know, and honestly, if anyone ever gets the opportunity to travel abroad on somebody else's dime, you know, it's just it's such a good it's it gives you perspective and it's just a really good experience. But um so yeah, I was Australia for a little while, which was uh it's a lot of fun. Got to go, you know, travel around Australia, go to New Zealand and all that kind of stuff. Um funny thing is is I when I got to the office there, I was a I was technical guy, right? So the sales guys were in the office. It was little regious office where the Sydney opera warehouse is and and they had new building demos and stuff like that. So I started doing demos with them

in front of customers and I was like this is what I want to do. I love this, you know, instead of building big things at a at a customer go and do a demo and like kind of the fun stuff. So anyway, I kind of knew I wanted to go that direction. Then they asked me to move to Singapore because they were going out to Southeast Asia and I'm like why not at this point? Might as well just go, you know, see everything. So we moved to Singapore and that's when you know that's when really things really started kicking off. That's where I met a co-founder Amy Glen Cross. Um she was working at the at the time and um we were on this really project in Singapore together. Um and uh so I'd spent five years there and eventually I did cross to the

dark side and go into pre-sales uh from being technical. um during that time that five years you know a lot of traveling a lot of you know going Southeast Asia working with different customers but that's when the whole machine learning thing started gaining traction so the you know service now's always adopted AI early like they've been a very big you know and it makes sense because they've got this big database spans across the entire businesses that that you know of their customers so they get all this data like all the ticketing data they've got employee data they've got just all kinds of stuff so it makes a lot of sense for AI so essentially what would happen is you know say you submit a ticket to you know reset password or whatever it might be um with it ticket in the service now that's what

it does like ticketing system is a bread and butter um it would automatically kind of put it into a category based on the machine learning it did all our data and I thought that was interesting so I've always like had this big you know just really fascinated with the way AI can really streamline things so uh so yeah did that for a while and then came back to the US went to stripe after my 10 year basically right on the day I went to stripe you know the payments uh company. Yeah. And like the timing there was was was uh was was pretty good because that's right when like Chb started coming out. So this is a few years ago. Um and you know Stripe is a very forward you know forwardleaning company a very productled company where Service Now is a very salesled company.

you got to strive and it's made by engineers for engineers from the ground up you know and they had just started building out their sales team kind of later on in their in their uh tenure and uh so I came in as a pre-sales consultant with them as well but they really embraced AI. I really respected the fact that like I mean they had their own LLM set up for the internal like on their own you know infrastructure like right when they would come out. So, it was just really cool. And the Collison Brothers, you know, you know, they're the Irish guys out of that came here to the US and they built Stripe. You know, there's the the brothers that um founded it. Um you know, they they're like, you know, they're there and they're with Sam Alman and all that. So, so they

they've kind of uh I've always been in that, you know, through the Silicon Valley, one of those companies. So, it was I was around it a lot. And then but at the same time after I was a stripe a couple years I kind of got burned out of the corporate American kind of thing you know I just needed a break and I think you see a lot of people I was like right at 40 you know so um a lot of people kind of go through that if you have the luxury of being able to take some time off to take a sabbatical like that's what I did was like okay I need a break um but I was still um you know super passionate about technology and AI. So during that sbatical which you're supposed to just kind of take a break and not

do anything workrelated. Um I just found myself deep in entrepreneur you know stuff and AI. I was just that was I was doing my spare time I found myself. So it was like I naturally said you know it was like two or three months later I was like uh I I do know I want to definitely dive into this AI to the you know the world of AI. Um I also want to start a business. I want to be an entrepreneur. I want to you know give this a shot. um all the best things in life that happened to me was from taking risks. So this is the risk I decided to take. Um at that time was just me, you know. Um and I worked with a couple of other guys that were starting a company um out of Europe. So I did that

for a little bit with those guys. Um and then I started coming back into the service now world and uh that's when Amy, she's the one I was telling you, my co-founder, we were great friends in Singapore. We worked together in Singapore. And the thing about being in Singapore is you go there and it's a bunch of expats. like half the country's ex expats, people from Europe, from Asia, India, US, everywhere. Um, so we became, you know, friends like me and Amy and a couple of our other friends. We work together because everybody's in the same boat. Everybody's away from their home. Everybody's like in this at Singapore, this island in Asia. Um, so you become really close friends and we traveled all over the place, Thailand and Vietnam and all that together. A lot of fun. Um, everybody kind of went their several ways

eventually, but um, yeah, a few years later I'm on a spatical like I was saying and it just turns out Amy did the same thing. She worked at Dway for I think 15 years plus. She was in the whole consulting business process side of things. Um, and so I randomly reached out to her and we're both like let's let's start something. Let's uh start a service now advisory consulting company. So that's what we started now Jensen. um didn't really have we knew we wanted to be AI focused uh but what we needed to do is really talk to customers and that's what we started doing talking to customers talking to clients going to these events like service now's knowledge they call it knowledge it's like sales force's dream force where you get a bunch of people together and we started talking to them and they

you know the same problems kept coming up over and over again it was like aentic AI agent agent this agent that service now totally bought into the whole AI agent thing and like they just completely went 100% % full and as we all know this stuff doesn't quite work as advertised a lot of times especially the early days of the agent stuff. So um so we found out that ROI was the big thing. They they didn't know what what the ROI was they were getting out of it. They didn't know where to start. They didn't have the resources. Um you know so and it was like all this hype going on. So they were just confused. So we saw okay here's a big problem. let's go and advise them on how to set up their because Amy and I both know exactly what it's like

working with customers, the processes and things like that with businesses. So yeah, so we decided to start that and then so that was now and then we decided to broad productize our services which is so we started building out how to automate like how you do advisory and help AI stuff and that's how agent blueprint came along. We started building it for ourselves and then um we saw that there's probably a big market out there for this. So we separated Nandic and we got agent blueprint and that's our our IP and so it's its own entity, its own business. So that that's where I know I know it's a super long-winded way at Luke's story there, but uh yeah. >> No, no, it's a good starting it's a really good starting point. I I I appreciate it. Okay. Um, I always like to hear how

people get into it and hearing the uh that part of the conversation I think is going to be valuable to a lot of people getting into it and and it's so funny how your sabbatical which was supposed to be away from from work kind of got you uh back into it in in maybe a more uh in a better way, right? Cuz some of us uh like you said will get burnt out from that uh corporate reality at some point. And um the sbatical is good to to rest and and also you you know you do some of your best thinking when you you don't have that same level of uh day-to-day like I don't want to say responsibility but like you know workload going on where your your mind's always covered with a million different projects that you have going on. So I think

that's that's really cool. >> Yep. Yeah. And wherever you find yourself, you know, you clear your head a little bit. And wherever you find yourself, uh, just, you know, going towards, it's the thing that you're passionate about, you know, uh, because if you're passionate about it, which I just happen to be super passion about stuff, it's like it's a lot of work, don't get me wrong, but it doesn't feel like work. It doesn't it's not sucking the life out of you. You know, you really enjoy it and you almost have to stop yourself and make sure you take care of other things in life because it's so uh, you know, it's just a lot of fun to work with. So that's when you find that that's like that's a good a good sign of something maybe uh maybe to go pursue, you know. >> Yeah,

very true. And and so obviously like you said, you're starting to productize um what you were doing with Now Gent. And I think a lot of people are pretty interested in, you know, hearing about new tools that are coming out. So tell everyone uh here a little bit of more about agent blueprint and um who you're trying to um reach here and and how you're trying and how practically you're trying to help. >> Yeah. Yeah. So, like I said, Agent Blueprint came out from trying to automate and productize our advisory AI services. Um, almost I almost almost try to automate myself out of a job. That's kind of how I looked at it was like we're going to be AI first. Like, so we didn't want to do typical pricing by head by hours. That's typically how consulting companies grow. They start hiring more people

and that's how they scale and that's how they grow in value. Definitely didn't want to do that. So, we knew there's this new way of consulting that's coming up. No one really knows it yet, but you know, the old way is kind of that's kind of that's that's kind of going away in the past. You know, the whole like hiring a bunch of people, going in and doing like a six-month engagement where you're getting paid for knowledge workers to go in and make slide decks and stuff like that. And I don't mean to like, you know, demean their their job and everything. It's very useful in a lot of ways, but you can see what's coming, right? So, we wanted to be on top of that. We wanted to kind of be part of this new consulting agency, whatever that looks like. AI first is

what we knew. And so um that's kind of how agent blueprint came by. It was like we productized what we were doing at aentic which was aentic AI but it was service now based agent blueprint.ai is our is vendor agnostic. So we're because I mean there's so many platforms and most companies like maybe they'll use one but they use multiple ones and it's um and everything's changing constantly. So that's why we kind of wanted to go vendor agnostic there. And what what specifically have you found because it uh when did you guys launch just for the audience to know? >> Oh yeah, this last week we sort of did a quiet launch. So right now we're doing a design partner where we're working with clients and other and other partners, other boutique consulting firms that do a lot of technical work, but they don't have

the capacity to go in and like analyze the business requirements. Um so we're working with them as well. So we're kind of just we're finding our way into product market fit. and um we've got it, you know, so this we've got a lot of we got a big network and you know a lot of potential clients that want to work with it. So now it's a matter of going in there and really it's uh interesting because it's not like the old stuff where you build this SAS platform or this deterministic workflow application and you kind of have this thing you know it's going to do you know with the the agent aenic stuff it's all new and it's also you know undeterministic so it's like just the whole nature of it is very fluid and unknown. um which is exciting but at the same time

there's no book on this stuff you know there's no book on setting up a an agentic company and how to approach an agentic uh project um and if you try to approach it with a old way of doing things you're going to find yourself you know you're going to find yourself in hole pretty fast but uh um but no the big thing with agent blueprint we found out is like a lot of what a lot of people are doing with agents and you know a lot of there's a lot of companies that aren't really succeeding you got all these studies coming out like showing you know like that latest in my T1. I was like 95% of companies aren't, you know, seeing the ROI, which that study is pretty pretty flawed in a lot of ways, but um there is a there is a lot

of truth to it as well. You know, uh there is a lot of companies that aren't seeing it. They're they're going out experimenting doing these PC's and um they're not finding they're not actually making it out to production. They go into this what do they call it? Uh PC purgatory or whatever they call it where it's like it just forever is an experiment. And uh what we found is a lot of people aren't looking at it from the business perspective first. Like what are your business initiatives? What business outcomes are you trying to achieve? Like that should be out front and center. Start there. Don't think about agents or workflows or anything. Start with your business. And then like what are your business like? What are the things you're trying to accomplish and why can't you accomplish those? So you narrow down the challenges and

the bottlenecks and then you start looking at use cases like what are use cases in your company where you could improve your whatever it is if it's your revenue or if you're trying to improve your efficiency or lower cost whatever it might be all kinds of things your business could be focusing on start with that you know start with that and then prioritize those use cases finding the lowhanging fruit and then start applying you know okay how can we use technology in in to to to solve this um and a lot of times when it it can't be deterministic because if it can be deterministic, if you can do an if then else, always do that, you know, like always go that way. Don't don't go agents just because you want to do agents like because that's where if you got something that works 99.9%

of the time like a reset password integration to active directory, you know, like that always resets the password. You don't want an agent going into your company's, you know, password database and doing stuff themselves. the agent would use the tool to do that, right? So, it's like um but always always try to do deterministic first. But with that being said, there's a lot of processes where if if it requires contextaware decision-m and some creativity, that's where the, you know, agents come in and then they can use those tools to do things like that. But starting small is the most important thing to do and you got to keep it small, you And uh one of the reasons why we're addressing mid-market like we want to go after mid-market like that's our ideal customer because enterprises get stuck in this bureaucratic political drawn out long processes.

They want to put out RPs and take months before they even make a decision. That's a hard thing to do in this landscape of AI where everything's changing. So, um, so yeah, that's uh that's kind of where we we really put a focus on is understanding what's the business value that you get out of it first and then coming up with a plan and a plan on on how you're going to do it like starting like with one agent that kind of thing and then outlining what that looks like from an architecture perspective like what what is the design pattern be orchestrator manager you know agents things like that what platform you going to put it on is it service now salesforce agent force uh n um lendy There's all these different platforms that do agent stuff, right? So like that's a whole other thing.

So we bring all that together with agent blueprint and basically provide a blueprint like that was going to be our blueprint. A the agent blueprint was our our where the term came from. Yeah. >> Deliverables. Yeah. So we decided to automate that and that's why we called it that. Luckily the name was out there too. Agent blueprint was out there as a company. So >> yeah absolutely. You know, I am curious about um where necessarily did you kind of or maybe to go back for the audience a little bit. You mentioned something about deterministic uh workflows versus uh what's going on with Agentic. And I think it would be probably good just for the audience to hear that that isn't quite aware of what that means, what the differences are um between those two different things and and how it's uh such a different challenge

for you as a new company. >> Yeah. Yeah. So, you know, you got deterministic, which is the stuff we've been working on for working with for years. You know, it's like if then else. It's software. It always works. It the outcome's always the same. I mean, there might be, you know, anomalies where it's not like maybe the system goes down or there's some glitch somewhere, but typically like, you know, if you know, 2 plus 2 equals four. Every time two you add two and two together equals four on the other end. That's, you know, very deterministic type things. Um, like I said, they that password resets a good example because everybody goes through that at their work. you know, when you reset your password, it used to be it would create a ticket. That ticket would go to some human being and they would go

in and they would manually reset your password for you, whatever. But now it's all automated. It's a a system goes in Active Directory automatically does it. That's a deterministic. It's a tool, you know, it's a it's a a logical tool. Um it's objective. Whereas when you're talking about agentic, it's a lot more subjective. You know, it's where you're making a decision based on context. It's not a strict if than else. you you never get hardly ever get the same exact answer twice. It's just like talking to people, you know, like the you might have a certain perspective and you might go the same direction every time, but it's not always going to be exactly the same. Um, so, you know, the the the use cases we found with Agenic is um like for example, the one that we built with Service Now, our first one

was uh automating the RFP process. um you know where you basically a company wants to buy a new product to solve a problem and they put out a tender process and they put it out and like let all the vendors in the world say we're the right person and we got the best price and all that stuff. The whole process of that internally with the procurement departments is very very timeconuming. But at the same time a lot of it is is really judging and uh judging whether or not this is product is worth going forward with comparing it with the policy documents. Um and then once they start it like it's uh answering vendor questions. So there's a lot of uh interactions with documents and text that humans do now with procurement with that kind of thing. that's a very good candidate for uh an

agent to come in and do because it's kind of low risk, you know, as long as you aren't doing the big products, the multi-million dollar kind of projects. But if you're doing the smaller things, this is a really good way to start is that it's not going to embarrass your company if it messes up. You're not going to find yourself in a deep hole if it messes up. So, it's a really good way to start these kind of these kind of use cases. Um, but yeah, that's where it's that's where you got an agent that comes in. makes a it's a contextaware um decision-m that it that it does and it can make its own decisions on what to do next. you give it tools and what to use like you you tell it what tools it can use like a lot of tools are

maybe it's a Python script or it's a you know using MCP to integrate to another system whatever it might be but um but yeah that's kind of at a high level but no it's that's a good breakdown and do you think um two questions do you think there will be uh a need still for those like um uh automation platforms moving forward or do you think maybe there's even going to be a mix between the two cuz a lot of workflows I see now will end up in order to make the automations even better. Well, they'll implement different agentic tools like in some of the steps in order to have decision-m sort of in the automation. You see this a lot with like what NADN's doing? >> Yeah. Yep. >> Yeah. You familiar with this? >> Yeah. Oh, yeah. Yeah. Definitely. Yeah. Yeah. Um that's

I started with NAND when I started building out agents which is a great learning tool. Well, they've come a long way now. They've actually got some good productive um use cases out there um that that are actual customers using it in production. So, yeah, inaden's awesome great way to learn. You don't always have to use a visual with it, by the way. You can use like JSON kind of um programmatic way building agents, which is what we're looking to do with agent blueprint automatically create that agentic workflow in a in a end. So the end to end coming in knowing your business and then pick him use case and then setting up the agent architecture and then actually implementing it like so that's and it is one of the companies that we're looking to do do that with. Uh >> well yeah because a lot

of those companies if I'm not incorrect um the blueprints that well not to use the term blueprint but like what make.com uses the term scenario blueprint um there are a bunch of modules that are like architectured in like a big JSON blueprint right? >> Yeah. Yeah. It's all programmatically done. So you know uh the the again the hardest part is coming up with the right use case and the right implementation methodology the right like you know phased approach starting really small you know doing eval like evaluating your agents making sure like the observability there's all these things that go in with it that um you know if you just pick up and start building things and you don't take all those things into account you're just going to be one of the 95% that it doesn't end up working for because it's just uh you

dig yourself in hole pretty fast. It's a It's amazing when you first start. It's like a magic. But then, you know, reality starts hitting when these things start, you know, giving you that AI slop or whatever you might call it because the more agents you put in, it's like a big circle of, you know, when in school big circle of kids, like they whisper to each other all the way around and then like by the time you get to their started circle, it's a completely different thing that was whispered. But, um, you know, so essentially you got all these agents working together, they start hallucinating and just it gets crazy. So, you got to be structured about how you roll it out. But you know with like things like n you know back to your question about like workflow and and tool uh you know

workflow and agents and things like that I don't think workflow is ever going to go anywhere. I mean even with humans like we do we still use tools like if you want to put a hole in a wall drill all like you drill you take a drill and a drill bit and use a tool to do it. You don't like try to invent you know get something sharp and skinny and try to like you know manually put a hole in the wall. You know it's kind of like you've got tools to use. So these agents are always going to have tools to use. So the deterministic workflow and tools and I don't think that's going to go away anytime soon. I mean if that went away then the world's a completely different place at that time you know where it's anybody's guess. So >> yeah.

Okay. And and I am curious then it kind of leads to a bit of a natural question. Where do you see that this um in the next couple years is going to have a consistent impact on the workplace? you mentioned previously there whether it be flawed or not the uh the study about how people aren't seeing the ROI with agents uh you're seeing that uh when you string a lot of these agents together um without like proper guide rails that they they could go off the rails where are you seeing um this technology kind of advance and improve in the next 5 years in order to feel a little bit more human in um I guess maybe the reliability sense which is kind of ironic cuz humans aren't perfect either but um it's like where everyone's head goes I wanted to work like a personal

like associates mess up all the time, brother. >> Yeah. Yeah. I know. Like all these uh Yeah. I'm like, man, where are all these perfect people? You know, you talk about >> Yeah. It was I was like, where are you getting the Yeah. Where are you getting these perfect employees at? I don't know. >> No, I mean I think I see it like you could see the progression. It's only been a few years and you could see where these things are going now. It's uh they've progressed just it's crazy, you know, like I use cursor, you know, to build out uh agent blueprint. Um, I hate the term vibe coding, but you know, it's kind of like that's sort of what I but I have a developer background, so a big emphasis on architecture and, you know, strategy and talking about the data, the security,

all that kind of stuff. It's more like Andrew who um he uh actually the one that coined the phrase aentic AI. He calls it like AI um AI AI orchestrating or AI assisted programming or something. I like his term better, but anyway, going off base there. But uh um so I think the way the way it's going to work in the future and obviously yeah anybody trying to create the future with this stuff is just it's just like you know it's it's kind of uh it's going to be completely different than any of us think I'm sure. But if I had to guess these models are going to get a lot better at doing things like tool use limiting hallucinations and things like that. And as that happens, the companies that start adopting it now and start, you know, start doing it small now, getting

it right now, while they're not perfect, while there still is a really good use case for it. But if you start right now, by the time two or three years does come and these agents are ready to really do autonomous, you know, much, you know, human in a loop right now is super important. At some point, it's going to become where there's a workflows that are going without any humans in any loops, you know. So, um I just see that coming. I don't see a world where that doesn't happen eventually. This stuff is just it's getting better, you know. So, um >> yeah. Like, but right now, how do you see um just just out of curiosity, like how how is it that you as a company are able to lead these um uh so to say uh agents in in more almost predetermined like

capabilities and paths cuz it's you're saying that you know there's obviously a different and and maybe a lot of people are are aware of how this works, but I I don't think quite many people understand the guide rails that you put in place maybe as as a company or others can on those more customuilt um uh for yourself type of tools because there are AI agent companies right now that like relevance and obviously like self-building stuff with an end where you can put things in place to prevent uh issues but what are you doing right now and how does that um how do you feel like that's going to change in in the next couple years as well? So, what we're doing is, you know, again, starting really small with co like with clients, like making sure they get the basics down right, you know,

not starting off with like putting 20 agents out there and letting them run wild. Um, just, you know, starting small. And then the other thing is putting a human in the loop, you know, like really making the human like it's, you know, the agent is assisting the human like that's that's that's really important right now is to have the human in the loop. also to have the right attitude within the organization like the leadership has to be you know it's got to be a top down thing if it's a business you want your employees to adopt this stuff it's you know adoption rates is that's a that's a big thing you got to get people to use it so you can improve it and keep going better so a lot of it is organiz they call OCM organizational change management it's kind of like a

a term used in in consulting speak but it there's a lot of there's a lot of um you know substance there to be had because it's it's these companies aren't ready for the disruption then they need to be ready for it, open-minded, willing to experiment, willing to, you know, fail a little bit and and try things and and evaluate, re-evaluate, keep tweaking and knowing that there's no end to this. Like it's not like a, you know, you buy off on Microsoft Office or you buy, you know, Salesforce or whatever and you install it and and you get a a quarterly update or something. These things, it's it's a living application. It's like how we built agent blueprint. It's like the architecture of it. It's every day it's just growing. It never stops. like this stuff is evolving so fast. So, um, there is no clearcut

like and that's that's the reason why Amy and I kind of see like that's why we're mixing this up with our advisory services to come in and talk to our customers and help them set set up like agent blueprint for example because that kind of guidance is needed especially for companies like I mean you might you run a business imagine how hard like you and I like are in this world all the time how hard is to keep up with all this stuff like it's it's um it's really hard imagine having like a running a business that's not related to AI at all knowing you need to put AI in your business to stay competitive but you just don't you can't afford to pull in some big consulting company you can't you know you but you know there's something you got to do like and

it's it's like it's a first mover's advantage right now it's like if you can get really get your head around it in your organization get some agents you know get some of the stuff working the automations working by the time it comes like prime time your company's going to be ready and you're going to have that that advantage over your competitors um >> yeah I feel like there's going to be a bit of an inflection point with with this stuff. And it's about who's like actively right now setting up the foundational uh capabilities and then when when the products continue to improve, they'll they'll really see um exponential uh like benefits in comparison to what companies who don't have. So I I definitely think you're on you're on to something there. And you know, you hit on something interesting there. Uh we are in this

every day. A lot of companies aren't. When do you think there will be a shift towards more companies uh taking this into their everyday, you know, workplace? Because I I think to in all honesty, we haven't really moved much for most companies outside of using some tools. Maybe maybe a little bit more than just like their employees using chat GPT or whatever. um between compliance and people just not being that technical. I I don't think we've actually moved much uh from an adoption standpoint in your everyday company from 2023 or whatever that was with like uh the fall of 23 would have been ChachiPT maybe 22 I forget at this point like when when it you know 3.5 came out um I don't think we've seen like a crazy large amount of adoption in in the totality let's say of of of work right and

that's where that study maybe is coming from uh about 95% which does feel a little bit ridiculous but could could be the case that a lot of people are just using chat PT to respond to emails and whatnot. Yeah, there's our shadow AI going on a lot organizations where people are bringing their own AI and kind of using that themselves, you know. So that that again comes down to the leadership of really, you know, promoting what you're doing internally. But uh the biggest adoption as you know like is been marketing and sales, you know, like that's been a really big adoption. So like companies are using it as like we're AI first and like everybody's like AI driven but like I think what you're talking about is like the real adoption like the people using it to actually automate back-end processes in their business like

doing real stuff with it. And that is right now I think where the companies that lead with that now are going to be the ones that make the other companies change because they're going to gain a competitive advantage you know two three years from now and then those other companies have no choice like it's not going to be an option. It's either like, you know, either you, you know, either you start using a calculator or you keep using a pencil and a and a paper, you know, to do your to do your math. Like, you know, which one you It's kind of like that. It's like at some point you have to adopt the technology that's out there, whether you like it or not. I know a lot of people don't like it. There's a lot of like philosophical existential type conversations about it. People

like to kind of go with it with AI. It's kind of funny, but um at the end of the day, the reality is the businesses that adopt it early, they're going to excel. the and my this is my opinion anyway the ones that don't they're going to suffer from not having that competitive advantage that the ones that did they're all going to adopt it startups um like Amy and I like we are AI every I mean all the new businesses that are coming up now I can't think of any new business coming up now that would not be you know AI first like it's amazing what you can do with AI as an entrepreneur starting a new company it's it's crazy you know all this stuff go on for days Um, but uh, so I think startups and early adopters are going to drive the

ones that decide not to. I mean, I guess that's that's probably that's my opinion anyway based on what I'm saying. >> No, I I that's I that's fair. Uh, and you know, you're you're kind of in a position to help out a lot of companies. So, I think you would see um the writing on the wall uh with a lot of different uh industries and and and that's fair enough. Like if if I were to tell somebody, let's say I mean I think the cal the calculator example was a good analogy, but the interesting thing I learned in a recent episode is we often think about this from a knowledge work perspective, right? um and how maybe physical companies won't uh benefit from this because and when I say physical I mean like manufacturing um like physical operations companies because you know they already in

essence have gone through their revolution right like the example that I would say most plainly would be you know in the 1900s would companies be comfortable with saying no no no no we don't need mechanical as we one, we're not going to do the assembly line. That's stupid. Uh then after that, we're not going to do uh robotic um assembly lines, right? That could work round clock without any um technical errors and that sort of stuff. So, that industry has never had an issue with it. And the companies that were late to adopt it are, you know, behind and and have just no competitive edge at all. Right. And that essentially is what kind of the market we're in is especially with software to be quite frank. people are not going to pick your worst app. They're not going to pick your worst uh automation

and and and using it from the company standpoint. And if you are a company that is providing a service or providing a product and they're able to get quicker responses, answers to questions, um quicker turnaround times on delivery, they're going to go with the quicker one. People pay for quality and speed. And speed is actually a very underrated one in those categories. And the nice thing about agents is due to their if you guide rail them consistency and as well as speed because they have um the ability to run non-stop and run in parallel, you know, you get both of those things. >> Yeah. Yeah. Yep. Yep. And you got the cost and everything like that that come into it. Um >> and the cost part too. Yeah. Don't even Yeah. Don't even need to get into that. They can be more competitive with their

own costs um in comparison to their competitors. If you know if if somebody does this right, they can provide a better service or product um at a better cost in less time. >> Yeah. Yeah, definitely. Um yeah, for sure. Especially smaller companies like again like the RFP processing with a procurement team or big companies whenever they want to, you know, whenever whenever they want to do a a new solve a new problem, they have the luxury. They got this whole procurement team that creates this like RFP, puts in the technical requirements and all that stuff and then they post it out and they got all these vendors fighting to, you know, put out their solution and the best price and because they want to win the bid so they can be the ones that make the $2 million, you know, uh, implementation, you know, it

but you've got to be a big enough company with a procuring team and now like with the what we call it source assist, it's a service now the agent app that we built. It's a gentic app. It's like it's about I'd say 12 I think 12 agents that work together to basically take and take the product requests they basically take that they they they comply it with policies. It's all automated human in the loop but these are all agents doing this stuff and they determine okay what are the you know okay this product and say let's just say it it passes the test. So okay we're going to we're going to release this on our portal so um companies can come come in and they could submit their proposal to be our vendor of choice. Well, so it does that automatically. The agents do that

and then another you got another agent because there's always like a two-eek period or so where vendors can ask questions and like you got to answer all their questions. So now you got an agent that's answering questions automatically. Human unloop again still checking. And then once the questions are all answered and the vendors all submit their proposal to be the product that your company chooses, you've got like hundreds of proposals of these companies that say they're the best and they've got the pricing, they've got like what they do and what they don't do and all this and that. Well, now you've got a like an agent that basically can just scan through all those things and kind of align it with your business goals, align with your policies, and give you like top 10 vendors out of a hundred. And then you got a human

that comes in and basically takes those top 10, finds a finalist and kind of does it. So now instead of having a whole procurement team all doing all that, you've got one person in your company that can leverage all these agents. So it's like an augmented, you know, resource. And I think that's that's going to be the future where you've got you know people that are able to do things that you know much more meaningful because I mean think about that toil like you what you someone's got to answer all those emails coming in from vendors like no one wants to do that. Someone's got to put together a document that like talks about like what what the requirements are and like an Excel sheet with all these requirements that there's all this stuff that you got to do. Like as a pre-sales person when

we responded as Service Now to these RPs I had to fill these things out. Hated it. now AI can do it all like oh man I go wish I had AI back then but um but yeah so I think it's going to give a advantage to a lot of companies that are smaller like in mid-market smaller small businesses they're going to be able to compete a lot easier because they can do a lot more with a lot less people so I think that's >> no I mean no I think that makes a lot of sense um you know I I that kind of leads to a natural question how do you think this is going to impact the job marketplace uh moving forward right you just gave an example of how one person can to uh the m a list a litany of different mundane

tasks essentially, right? Um at scale, where do you think this is going to impact the uh job market going forward? >> Yeah, that's a that's the um yeah, that's like the one of the tougher questions to answer, right? Like kind of sensitive and you know, like I I know when I I was at Stripe um they went through the layout. They lay off like 10% of the people. I remember waking up seeing that email. Luckily, I wasn't one of them, but like you know, it's it's um you know, people losing their jobs. It sucks. It sucks for the family and everything. Um but you know like your job is is the job is a thing that you do that's providing value and the second your job doesn't have an ROI on it then compend it's a business that suddenly you know it's like and they

might tell you that your family and all that stuff but at the end of the day you're an asset to a business and if the business nobody sees you as an asset they're going to cut cut the cost that's how they stay afloat that's how they make their money right so if the job market I think the biggest impact is people that don't you know people that resist the stuff AI you know, especially if you're doing work that's like knowledge work programming, you know, programmers that are if you know, if you're just a JavaScript developer or something like that, or you you're just, you know, you're doing data gathering and filling things out, those jobs are going to be that specific job, that task is going to be done by AI like what you know, like I mean, I don't know how when a it's

already happening now, but imagine two years from now, it's going to be um monetized knowledge work and and that kind of thing. Um, but with that being said, I think that's, you know, if you embrace it and you start learning this stuff now, you know, I think there's going to be new jobs that are open for, you know, because when you progress, like we, you know, people keep getting better at stuff and keep innovating and keep get, you know, coming up with new things depending on the thing that we have at our disposal. So, this stuff's going to create like a lot of unknowns that we don't know now. A lot of I think job opportunities. Um, I just think jobs are going to change. The nature of jobs are going to change. like you're it's going to be a lot less busy work, knowledge

work, um that kind of thing. And it's going to be a lot more people doing a lot more meaningful work, you know, that but but the job market I think while we find our way it's going to take a hit because because it's going to be you know people are expensive and they're uh you know >> there's an adjustment period for sure. >> Yeah, it's going to be an adjustment period. I think there's going to be a gap where companies really start adopting this stuff. Jobs that were knowledge work and task oriented are going to not are going to go away. And if those people didn't, you know, if they didn't take the, you know, chance right now while you see it coming, you know, it's like go to your business and be like, what are the business, what are your business initiatives? Like what

are our highest strategic executive KPIs and try to align yourself with those like see where you can, you know, fit in that to make the business money, be valuable, you know, try to find out like so if your task now is about to be automated, where can you provide value? if you love the job you have and you love the company you work for. Um, but also it's going to create a lot of entrepreneurs too, you know, like these people that lose their jobs, um, you know, you got experience, you've got abilities, and now you can, you know, one, two, three people can do a lot of stuff together, you know, if you put your minds to it and leverage this AI stuff, like you can scale really fast as a, you know, as a entrepreneur. I know that's not everybody's, you know, cup of

tea or anything, but it's it definitely opens, I think, a lot of opportunity for that. So like yeah, traditional jobs I think are going to their days are numbered, but I think there's going to be a new sort of way jobs are structured and done organizationally, everything. Um, and I'm I'm just most excited about the entrepreneur, you know, sort of like people having the opportunity to actually go out and do their own thing and take a risk and start a business and provide value that way. So that's how I see it. Little optimism, a little, you know, I try to be realistic with this stuff. You know, it's a I don't like the doomer take or the accelerationist take. just try to take a kind of a real take on it. But >> yeah, fair enough. Um I I do think it'll lead to a

lot of entrepreneurs as well. Um it's kind of a hard position to be in. As a business owner, I know what it's like when, you know, it's very it's very hard, you know, on a business owner to do it. It's very hard on a business owner to to think to cut somebody um from what they do for a living. Um, and you know, the the emotions are are so hard to to navigate through as a small business owner and as an employee. So, it's it's going to be an interesting thing. I just like to hear everyone's take on on where it's going to go. Um, cuz it it is a bit of a an interesting murky landscape that um I don't think any of us can quite predict 100%. I think most people are in the perspective of thinking that there's going to be some

tumultuous times and some layoffs and stuff like that. And then um I'm hearing more of a positive vibe from a couple guests including yourself that work will become more meaningful which is a is a good way to spin it cuz most people have originally talked about the efficiency um and about how there's going to be more work done and others have like well there might be less work done but uh it's actually better work done and it's more fulfilling work. So um I think that's a positive as well. >> Yeah definitely. Yep. But yeah a lot of things are it's probably going to get worse before it gets better but I think it's going to get better you I think. >> Yeah. Yeah. I might do one of these for for the job market. Yeah. All right. Well, I appreciate you uh for being on

the show. I just want to ask you as we close things out if there's any uh other thoughts you had on everything. And last but not least to plug your stuff. >> Sure. Yeah. Yeah. Well, thanks for having me on and you know, you made it this far. U you know, uh I I appreciate your podcasts. I get a lot of you know, there's no books out there on this stuff. If there are, it's probably outdated and if it's not outdated, it's probably written by AI. So people podcast these kind of podcasts are really where you know um where you got people that come on and just kind of talk about the the real you know things they're going through. So I really appreciate that and um if people haven't already you've got a lot of great guests on that you've had that really talk

about just the day-to-day that they're going through with this stuff. So um so a plug for you first of all um for us uh you know Amy and I like we you know again she's my co-founder Amy Glen Cross um she's awesome to work with. such an important thing to find a good co-founder that you can work with, you know. Um but um yeah, both of us are always always wanting to talk about this stuff no matter who you are. Like you go to agentbloopprint.ai and you can um uh we got like a form on there if you want to become a design partner with us. We'd love to work with you or I'm Chris at agentbloopprint.ai. You can just you know email me directly. Um and like I said, we've also got our now Gentic, which is where we focus more on like advisory

um fixed fee type services for customers that want to take the journey of AI mostly with service now on that one, agent blueprints, order beast. So love to um love to work with you on it and yeah, I appreciate you listening to us. >> Absolutely. Well, everyone, please make sure to go check out what they're doing at agent blueprint. Thank you so much for listening to this episode of the AI Agents Podcast. Leave us a review on Apple Podcast if you haven't already, Spotify, all the different platforms for your listening pleasure. Thank you so much for listening to this one and we'll see you in the next one. Bye. [Music]