You Are Already Living Inside the AI Era with Darrell T. Black vCIO

AI is finally in everyone’s hands, and that’s exactly why it’s getting risky. Grant McGaugh sits down with veteran tech leader Darrell T. Black (CIO, CTO, CDO) to discuss what it really takes to bring AI into a business without compromising trust, compliance, or the back office. We get into the difference between experimenting with a chatbot and deploying AI inside the systems that run payroll, HR, finance, and customer data.

Darrell shares a grounded view of AI readiness: understand your current processes, map the real workflow (not the version on paper), define the future state, then conduct a gap and impact analysis before you automate anything. We also unpack why AI hallucinations matter, how probabilistic AI differs from deterministic technology, and why “it sounds good” is not the same as “it’s accurate.” If you’re thinking about agentic AI, this is where the conversation gets practical about audit trails, human oversight, and governance that can scale.

We also tackle the bigger societal layer: bias in algorithms, safeguards in hiring and healthcare, and why policy often sets the tone for enterprise behavior. And Darrell leaves us with a simple warning you’ll remember: you might think you’re adopting an AI puppy, but you’re responsible for the full-grown AI dog. If you’re a founder, operator, or IT leader trying to use AI to scale responsibly, this one is for you.

Subscribe for more conversations like this, share the episode with a friend building with AI, and leave a review with the biggest AI risk you want us to tackle next.

Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com
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Transcript

Welcome And Meet Daryl Black

SPEAKER_00 0:02

Welcome everybody to the Funbrand Podcast. This is your host, Grant McGall. I'm here in Omaha, Nebraska. And it takes me to come all the way to Omaha, Nebraska to see and be with one of my people from Florida and South Carolina and the South. We were just talking, so not too many people who look like us are in certain areas of the information technology world. I want to introduce Daryl Black. Daryl Black has operated as a CIO, a CTO, a CDO. I mean, this is a strategic guy who knows how to operate in the IT world, whether it's in the government world, also the private sector, he's going to be able to really showcase for us what this enormous change, especially in the AI era, especially when it comes to AI readiness, things of that nature that we just maybe aren't thinking about. There's a lot of curiosity around AI now. People are utilizing it. I think one of the first enterprise type tools that are in the hands of the common people, but we need to understand how to drive with that and especially go from you know individuals into small business and the enterprise modalities that are still at stake today. So, Daryl, would you like to introduce yourself?

SPEAKER_02 1:22

Hello, everyone. My name is Daryl Black. Um, as and Grad, I want to say before I get started, thank you for having me on. Um, I'm looking forward to this conversation on your wonderful podcast. Um, just uh uh uh Daryl Black from the uh blacks of here with Brockland Road in Columbia, South Carolina, and um went to school in Delaware, double major, math computer sci. Uh went on to understand business, understand technology, understand the community and how to bring those things together in an interoperable way in order to better from where we are to where we need to be as a culture and as a community. And so I appreciate you having me here today.

SPEAKER_00 2:05

No, no, it's my pleasure. We've got to let our audience know more because in your world, you bring a lot to the table. You know, what's behind your title before Kindrell, before IBM, before the CIO seat. Who is Daryl T. Black? And I want to know what were your early experiences that shaped the way that you lead technology and people today?

Values That Shape Tech Leadership

SPEAKER_02 2:32

Well, I guess to sum it up, uh Daryl T. Black is someone who's trying to do God's will, man. Um, and and I know that that for some people may sound trite, but that's the only way I can live my life in a sagacious way through wisdom, through understanding. Um, being a product of a preacher and a teacher. And uh my father was also a uh vice principal, so I had uh academia on both sides and you know, a pastor and a and a first lady all over the fingerprints of my life. And so I understand people and I understand that the working with people can be complicated, working with people can be messy. But when I was going through uh actually a somewhat of a uh not only career change, but a career uh impacting uh uh opportunity for the community, being an elected official in the school board because I really wanted to touch the community at its closest point through policy and and and that policy creates culture, whether people believe it

AI Bias And Policy Safeguards

SPEAKER_02 3:38

or not. That's why voting is so important. Um but I did that because I wanted to take everything that's going on, especially in line with AI. Um AI is gonna change everything that we're doing. And so I wanted to impact the community in a way to say, hey, we need to shift our focus. We need to understand not only what's transpiring, but how business is gonna react to it, how business is attributing, you know, this major powerful what I I call um someone asked me one day, how do I define AI? I define AI as the closest thing to a godlike essence that's been created without the Ten Commandments. Because you got to realize, and and that's why I I believe it was so important for me to try to connect with the community as as I'm trying to do here in Omaha, is because AI is built on algorithms. Algorithms are built by people. And if you want to create a wealth gap, if you want to create a gap in healthcare, if you want to create a gap in in just you know, job seeking, uh, when you're putting in applications, that will do that. We need to come to facial recognition. All of that will have the races and bias components in it if there are no safeguards in place. The only city, only place right now, and and I've been working on policies and procedures to address that in the government space because government will connotate what transpires within the uh business enterprise um if created into law. Um what it is is that New York has defined the ability to really put safeguards around and and and audit tracks on what AI is doing with applicants that come in to uh a particular workforce, being able how they're being evaluated, how they're being treated in in hospitals, which um Bandani is doing a great job in having uh implemented that, which is huge, but we need it on a national basis. Um, if if you have followed politics, which I know you do, but I as far as your audience is concerned, um the first 90 days of this current administration, over 300,000 black women uh were released from their jobs. Okay, so that's 300,000 families. Black women are the cornerstone. So what do we do in this in this age of technology? What do we do in this age of flux? What do we do in this age of uncertainty? Um we do what we've always done, and that's adapt. And so in in adapting, um, we need to not look at AI as a replacement, but as a tool. We need to start refining our own algorithms and creating our own because we have the power now. Um we need instead of just users, and this is what I really want to focus in on, this is what I'm really huge on. We need builders. Yes. We need people to really start to understand now what AI can do, how it can benefit them, how they can grow their own. Because that's that's where it's gonna come. It's gonna come to entrepreneurship. Businesses, um, I would venture to say will no longer participate as much as they have in building community in order to attract talent, because AI is gonna, and when I say AI, and and let me kind of clarify that, yeah, I'm really looking at super intelligence, which is the next iteration.

Superintelligence And Physical Presence

SPEAKER_02 7:23

And super intelligence, AI is not really, you know, the boogeyman, super intelligence is but let let it be known now. The boogeyman is on deck, and and superintelligence is is here, it hasn't been deployed, but it is here, and so that's uh that's something that's always had in for the last decade, has given me a little heartburn. A lot of heartburn because you're you're talking about an entity that is self-learning, self-healing, self-teaching, and will defend itself and will create hallucinate hallucin hallucinations. It will create whatever it can to if you're putting in information that will it feels threatened by it can take all your information that you've housed in, thinking that it's safe and and secure, and say, hey, look at this dude.

SPEAKER_01 8:17

It's spreading all over the world. All over to realize that when you're interacting with these computers, it's not just what you're typing in, it's what you're saying, it's what it's seeing, is what is it's well because you get into spatial computing, computer vision.

SPEAKER_00 8:33

Now you're giving the super intelligence, you're giving it a body, you're giving it adaptability, you're giving it physical presence as well as digital presence. And if you don't have any oversight and governance, you don't understand. I talked to another uh friend of mine um out in New York, matter of fact, and he was saying similar similar things that you know what we're we're building something, we're releasing it out into the wild and literally saying that, meaning especially when you give it physical presence that you know through robotics or whatever, maybe they used to all those other movies that we've seen in the past, it can take control of cameras, it can do this, it can do that, because it's a machine, so it has adaptability. But if you don't put any safeguarding or controls into it, and if you give it the the basic instinct of the human being, and there's twofold, and a lot of people know there's twofold, but that lower being the one that's been surviving for millions of years, or your smaller brain, it's all about survival, it's about instinctual awareness, right? The instinct is to survive at all costs. So if you start embedding that into the instructions and programming of the kernel, as we say, in the in the machine, now you're creating you're you're telling it basically to defend itself, to your point. You're not saying, you know, just unplug me or whatever it may be, but that's how you're programming it. So we got to be careful about what we are talking about and when we're releasing, especially, especially. A lot of our audiences like, oh, what are you talking about? AI is a AI is it's a progression and it'll evolve. So what we're doing now is more reactive AI, I would say when you're working with LLM, large language models, your chat GPTs, your Gemini, you call those, that's reactive. You're starting to see the very um beginnings of agentic AI, which meaning multiple multitask-oriented platforms. So now it can reach in to your email, into your social media, get into your back office CRM, your financial systems, because you're giving it permission to do that. That's agentic AI. So you're just saying super intelligence, you know, it's starting to sound kind of sci-fi about it because now it's worldwide and international. I often talk about we are finally at a point now where the what do you call the tech states are more powerful than the nation states. When I say nation states, we're talking about the US, Russia, Iran by itself. These these tech states are more mobilized, have more capital, and then and you see the drone warfare that's going on. I don't want to bring anybody up, but that is all controlled by a super intelligence.

SPEAKER_02 11:19

Am I wrong or right? No, you're absolutely correct. And the thing about it is that if we don't just on that note, we're not even we we didn't even start discussing exactly what happens with international warfare. We're not talking about the infiltration of the cybersecurity or or cyber threats that can permeate, that's constant, that's um, you know, a billion attacks in in milliseconds. People don't understand that level. And and and the if you look at construction, the number of data centers that are being built, the number the amount of energy they're anticipating utilizing in order just to support AI. Now, and and you you also mentioned, you know, movies, you know, it'll give you a totally different look at Terminator. You know, people like, oh no, no, no. But but you got to understand that that's exactly where it's going.

SPEAKER_00 12:15

Yeah, because you can well, again, when you give it physical presence, and that's what a robot really is. Now it can do things in in your space.

SPEAKER_02 12:24

Well, well, well, hold on, hold on. It's not necessarily robotic. Yeah. You're you're also talking about chips that can be implanted. Oh, okay, yeah. So now you're talking about chips that that have, I mean, I mean, you got to realize how much computing power can go on a microscopic chip now. Um, have that implanted, have it your absolute recall, your translation. You can understand every language, your it can understand your vitals and not only address what happens, but be able to be proactive and mitigate any type of illness, if possible, through the own functionality of your body, you know, having it automatically heal. So now you're talking about people who may be good people or may not be so good people.

SPEAKER_00 13:10

Sounds like Terminator 2.

SPEAKER_02 13:11

We went from Terminator One to Terminator Two already. I mean, but that's uh to be honest with you, that's one of I don't necessarily want to call his name, but um, the wealthiest man in the world, that's his number one uh newest technology that's on on this on this plate right now.

SPEAKER_00 13:29

Yeah, these things are, and like I said, we're we're talking about progression up, but we don't get no reeling this back in. What me and Daryl are looking to do, especially in the Omaha market, and we see where we're at, and we see the the deployed technology, the platforms, and then just the natural intelligence that's out there, kind of how we're operating today, but how can we be even more efficient? I often look at what I see, especially in North Omaha and what the investment dollars are going into it and what they want it to look like. I see a center of excellence that could be created because we have to get involved with this uh platform. It's not like tell people like, well, I just want to participate. Well, that you don't want to have a cell phone, you don't want to participate in cellular technology. When there's oh no, no, no. AI is on that level. You it's not about a choice of not wanting to participate, and you already are because you're in this digital construct, so it's there. So you best know how it is best to know how to utilize it to your benefit by understanding it and then utilizing it uh um for your own advancement. So, with that said, and you've been in Omaha now. First, tell us how you got to Omaha and what do you think you would like to do while you're here?

Why Omaha Feels Like Home

SPEAKER_02 14:48

Well, I actually came through Omaha via Lincoln. So I came to Nebraska as the CIO for DHHS for the state of Nebraska. And once I I transfer uh I left the DHHS, I went to IBM. When I went to IBM is when I came up to Omaha. Uh and and Omaha has has been uh a home to me. Um it feels very comfortable to me. I I like the direction that it's going, the progression that it's making, the the new mayor, the things that they're doing with Omaha in the Port Authority, the things they're doing that with um Omaha 100. Um there there's uh an empowerment network. There's a lot of things that's transpiring in a number of communities, but especially in in communities of of black and brown people. So that South Omaha, that North Omaha, and Omaha overall. It and then it it provides um big city amenities with a small town feel. That sounds good. And and and and that's that's what really attracts that that's really what attracted me to to remain here and um looking forward to being here a little while if possible.

SPEAKER_00 15:59

Oh, a hundred percent. And as we look at the business landscape and understand what Main Street Omaha looks like, and I see a lot out there, and how I I'm now uh deploying the Omaha AI marketing accelerator or business accelerator. So, okay. I know what I've done down in the Miami market, I know what can be done. I want to make sure because this is one of the first times I need our artists to understand this one of the first times that I would say the common person, mainstream America, has access to enterprise applications, Fortune 500 applications. You can get intelligence, true and not just information, intelligence in seconds if you know what you're doing and how you want to uh utilize that kind of information to scale your business, right? Take that. Hey, how can I compete in this market, not only in the Omaha market, nationally, internationally? I mean, you can do so much with so little. So the truth, like, even though you might be uh a company of five or ten people, you can operate somebody with 50 to 100 people. That's never been happened happened before.

AI Hallucinations And Trust Checks

SPEAKER_02 17:10

Absolutely. The thing about it is, and and excuse me, excuse me for the way I'm saying this, and hopefully you don't kick me off your podcast. AI will make shit up. So yeah, what's the done? No, that's not even that's that's you have to know you have to know what you're doing, you have to know what your outcome is anticipated, you have to understand the roadmap and that it is true to your abilities, to your network, to your funding, to those things that are are proposed by AI. So um, in that, um you it it is a great tool, but it is still being refined. And the thing about it is is that is and right now is likened unto the person that believes they know everything. And so if you ask ask a person that knows everything a question, they if they don't know the answer, they might just say, uh, let me just make something up because I want to act as if I know everything. AI is somewhat like that. Yeah, now it's it's it's better because it can go through a lot of different um you know databases and all of that, but it still will create. Um, and as I stated earlier, it it will create hallucinations. It will it it does that now.

SPEAKER_00 18:21

So let's unpack that a little bit. I want the artists need to understand this, how it's different, and you'll you'll appreciate this because we've been operating now, we call it almost like a digital, it is a digital uh reality where we're at, meaning that's ones and zeros based go. One plus one always equals two. We call that deterministic technology. Um, that you're always going to get the same result by the same activity or the same action. One plus one will equal two. Like, oh, that sounds great. But in the AI world, because it's using predictive analytics, one plus one could equal three. Because it or whatever exactly it does because it takes instead of doing one thing, it does an option and it looks at those options and it may determine which one it feels is the best path forward. Now, a lot of times predictive analytics, you know, in certain situations, is pretty accurate, as people have seen. That's why they're using AI at scale that they are now. Because it for the most part, especially when text, communication, things like that, it can it can predict with with fairly good certainty what the next word would be in a sentence to get to the level that in understanding context. Context is a big, big, big deal. But as we now, and you're gonna see this now, especially with a I call it gentec AI, the the some of the weaknesses to your point, because you can't always have you know differences in outputs, you know, especially in financial modeling mathematics, like no, one plus one need to equal you know two every single time. I can't be having it, you know, the variance can't be like that. So I think you're gonna start seeing more deterministic models as well as probabilistic models almost working in tandem. We'll see how that all works out, right?

SPEAKER_02 20:11

Absolutely. The thing about it is that what we've transpired, we've gone from uh a binary code to a natural language implementation, and so with that, you're gonna have variants, you're gonna have those things that um are going to be rationalized. And so with that you have to have the human human interaction, you can't just let it run rampant and run wild, and whatever you put in, whatever it puts out, you're okay with. That's that's not the smart way to handle business. The smart way to handle your business because what will happen is that you end up having a deliverable that will write a check that you can't cash. So, and that and that's what you don't want. And so when you when you put when you put the information in, make sure you do your own checks and balances. It's not a hands-off application. Um, when it becomes a hands-off application, it doesn't need you anymore, right?

SPEAKER_00 21:15

Right, and you have to put in the sweat equity. We and so you do AI readiness uh for especially for businesses.

What AI Readiness Actually Means

SPEAKER_00 21:24

I need uh help me understand the audience understand. So, what do you mean by AI readiness? I I can I can operate, I can go get a chat CPT subscription, $20. Why do I need AI? Why do I need AI readiness? Help me understand that.

SPEAKER_02 21:38

Well, this is what I do. I go into organizations because while at IBM, um, I also um did a lot of process engineering. Um, did a lot of things with the the the Radisson Choice Hotel merger. And what happens is that they took two major organizations, came together, um, they had two totally different disparities. Technology systems and to bring that under one platform and how do they live and play well together? So had to bring that in order to do that, you have to understand the policies and procedures, you have to understand the current state in reality, not what's just on paper. So you understand an organization from workshops, from actually talking to people, what is your day-to-day? How do you handle this piece of information going from point A to point B and so on? Um, not only understanding that, understanding the vision of the organization, being able to say, okay, this is the strategic foci of this particular enterprise, be able to prioritize that prior uh product backlog, and other product backlog basically meaning the technology of which they want to put uh purchase in order to take it to its future state. So I'll look at that and I'll say, okay, once I fine-tune the policies and procedures, once I get everyone to agree on what the correct um procedures are and and and sign off on that, look at the uh future state, create a gap analysis, what what needs to happen in order to get from one place to another, create an impact analysis that's internal, external, um, as well as statutory. So you want to make sure that you stay in compliance. You want to make sure that you're in this compliant, that you're SIFMA compliant. If uh I did a lot with Broadbridge, which is the company that bought ADP. I did all of I did their daily change management meetings, um, where if any change was made within their infrastructure, it had to come through this committee in order to see what that impact analysis is. And we will say, yes, we can, no, we can't, or if we do it, this is these are the things that need to transpire before to diminish the capacity for disruption across the board, um, and especially the clientele. So doing that, looking at the gap analysis, looking at resource allocation, looking at cost-benefit analysis, looking at time frames, creating uh being a certified project manager, creating a project plan for them, understanding the Six Sigma um credentials that I have in order to ensure that not only from a policy standpoint, what does it flow like from a personnel standpoint? Looking at Idle, my I'm Idle certified, so I'm looking at how do I go into their infrastructure and ensure that these what happened if we implement these changes, what will transpire internally from an infrastructure, from a data center standpoint, uh what that means to the organization, create that roadmap and be able to share it in a in a dispassionate way, saying, hey, this is the information that I've assimilated from my assessment, from uh my various analysis that's being done. Here you go. Make the decision you like to make with it, but make it with your eyes wide open and God be with you.

SPEAKER_00 24:41

Well, now you said a lot. A lot of people followed you, some people that couldn't follow you. Let me let me let me say let me say it differently.

SPEAKER_02 24:51

I look at where you are, I look at what you want to do and ensure that I give you the information to get there with that with the least amount of uh disruption and and penalty to the transition.

SPEAKER_00 25:06

That is what you see from a let's say a CEO perspective or board perspective, like, okay, I understand that. And he's he's looking at this from a technology lens. Here's the deal right now that's probably happening in a lot of boardrooms as they sit and listen and say, hey, you know what? We watched, we watched now maybe four three to four years as AI has really come on board and we're starting to see these changes. We're starting to see some of our tool sets like Salesforce and some other ones that are deploying agents into their software layer. It's there. They're kind of pushing us into this into this world of now the LLM and now IP agents get into a Gen Tech AI. Now, with all what you just said, here's my I have a little um concern about when it comes to AI. You know, this an AI chat is very reactive. You tell it what you want, it's gonna get you back some information. It's kind of harmless when it when it whenever because you got to watch it if you put it out there. Obviously, you know, look like at the answers that you're getting. An IP, uh, I would say an AI agent, just the agents aspect. Now it's tying together some uh disparate systems together, and it's giving you some very uh detailed uh information. And if you can lock in part some communications with your telephony system, things of that nature, and it's kind of cool. Agentic AI is a little different animal, and it concerns me because this is living for the most part, it's living in your back office. And what does that mean? That means it's tying together your financial systems, it's tying together your HR systems, your a lot of different things are going on that you're turning over to an Egyptian AI system, like we just said, put this together now, that it's not deterministic, it's probabilistic. You don't know exactly completely the output it's gonna get. And then remember, it's not when you're operating in your internal environment, it's gonna go outside of that. And then start, maybe you get vendors and other things that are connected to your IT systems. This is a web.

Governance Compliance And Securing Data

SPEAKER_00 27:14

How do you see a dentic AI? And this is what I tell people me on Monday when you set it up and you program it, it probably looked great. But on Friday, it's a complete mess because there's so many other factors that you didn't anticipate that are now at play that this has become a giant yarn ball or some type.

SPEAKER_02 27:35

I agree. Um, the thing about it is this is once again, this is the human element that you have to actually put the work in. Not only do you have to put in information in order to get your necessary output, but also you need to put in the safeguards, you need to put in the the audit trails, you need to be able to not only assess what it's giving you, but be able to be able to reverse engineer it as you go along. So what happens, what I've seen happen is that I've gone into organizations and they were like, oh, I can I I got it, I can go on to you know, chat or or Gemini or whatever it is that that that you want to bring to the table, I can just put what I want in there and I'll print it out. Well, yes and no. The thing about it is is that is it giving you, you know, uh certified information in order to have a real life application? Is it is it allowing you to understand that if something goes wrong, that you can have audit um alerts that will flag it? If someone else, because how do you secure the information that's going in it? How many people have their hands you know inside because it could be one person, it could be three people, it could be five people? How do you know that the information that's being input all the way across the board is being filtered in correctly? Those are the monitoring, that's that's why the number one job, in my opinion, to have during this AI transformation or transition, however you want to look at it, is compliance officers. To be able to go in and do audits, to be able to go in and to monitor and ensure that every aspect of your infrastructure, i.e., your AI components that run your infrastructure, are in line and maintain a credibility and a authenticity to the premise of your policies and procedures. And so, and and be able to monitor that. So you're gonna need a human factor for that for right now. Yeah. Because if you just say, hey, um, I can replace 50 people, well, yeah, that may be true, yet how many people will you need if if something goes wrong? You know, it's it's not it's not a it's not a failsafe, it's not, it's not like it's it's an end-all be all right now, and it may never be because I don't know of anything that is an end-all be all. Right, right. Does they have a lot of information, it can do a lot of things, it can create a lot of things, it can look pretty make something look really pretty. But that doesn't mean that it is. It doesn't mean that it's beneficial, that doesn't mean that it's productive, that doesn't mean it's that at the end of the day, it's gonna be the best thing for you or your client. And when you're talking about pulling from systems, when you're talking about pulling from HR, because it is used a lot for back office, yeah. You're you're you're opening up your social security information, your health information, information that you may not want public. So do you really want AI to have that? And if it does get it, how do you secure it? How do you now no longer hold your company liable for information that's disseminated around the world of somebody's private business?

SPEAKER_00 31:04

Man, there's so many moats that have to be built, new motes, new things, because we don't know, you don't know what you don't know until you start seeing it operating. And the more that AI is is prolific, meaning like the internet. And I'm starting to see where I think in my world used to be internet, that was public. There was intranet, that's internal, and there was a separate line of delineation between them both. You're gonna do something to that effect, as we now see the benefits of AI when it comes to speed, when it comes to communication, it comes to scalability. Oh no, and I can do more with less. Those are obviously the positive. The negatives are you have to contemplate these things around zero trust factor, right? Where your data now is the new oil. So you can't just have your data just out there in someone else's camp and you don't even know what's happening with it.

SPEAKER_02 32:01

Well, that's that's why I have I have several certifications, um, ITOM, ITAM, CSA, and ServiceNow. ServiceNow will create that environment for you, for the internal workings, and it can isolate your agenic AI within your organization. That's the difference maker that I bring to the table. And I can create that siloed environment that permeates just for your company without having the preview of the rest of the world taking a look at it.

SPEAKER_00 32:31

That's important. You got to be able to seal that off and have those natural firewalls, as we, you know, to call it that way. Yeah. And how do you get that done?

The AI Puppy Theory And Contact Info

SPEAKER_00 32:42

So I'm gonna conclude here because we're getting to the end of our show. But before I do, you got to let us know again how to contact you, why businesses in Omaha, I feel, should contact you, and how we potentially will be working together to bring that type of uh reality to our Omaha businesses.

SPEAKER_02 33:04

Well, for a couple of things. A lot of people are looking to go towards AI, but yet they don't really know what that means. I can help them in that transition. I can help them understand not only how to reach the modernization of AI that a lot of companies are aspiring to, but even more so and even more to the now, if you will, um show their employees how to utilize AI not as a replacement, but as a tool. So to maximize the efficiency and effectiveness of the of your current staff. As your company starts to grow and and to implement AI on a larger model on a larger scale, now those other aspects of my business being able to come in, being able to show the roadmaps and all the things that I spoke about earlier, um, that's also can be done simultaneously. Not only that, another aspect that's really near and dear to my heart is that is because I do believe in the community. I believe that entrepreneurship is the next iteration of the biggest part of the job market because we're gonna have to work on our own. We're gonna have to do, you know, we're gonna have to be in an environment where we we eat what we kill. Um, and so the smaller companies, now I can build the ServiceNow platforms and build their back office and have it secure and be able to work with them on an individual basis as they start to grow. If they don't have the technical expertise in themselves or in their staff, that's where I will supplement. And that's where my company comes in, and as well as my staff that works with me, and be able to fine-tune that to an in on an individual level and for your corporation and start to be able to build that and be able to build it in a way where it scales. So as you grow, as you change, it grows and changes along with you.

SPEAKER_00 34:53

That's the most important part. What you said there, because I've heard so much about you can now just vibe coding, vibe coding. I mean, you can almost speak code into existence in these applications. Oh, it's not true. You haven't even thought about the fact that how you're going to maintain it, who's going to be able to fix it after it's after in the while? Because it can't just to my knowledge, can't totally fix itself at this point. What does the exit strategy look like? Is it monetizable? I mean, can you even sell it to someone else? Is it so customized that only you can use it? There's so much more that you have to get to. It's cool to make it make a beta, I'm all for that, but production is a different animal all together, right? Absolutely.

SPEAKER_02 35:38

And and the thing about it is that a lot of people don't quite understand that part of it. They understand the beginning, the initiation, you know, the the the the the sexy dating stage. But how about you know, I I call it, I call it the the puppy theory. See, when when um my daughter, my daughter, animal lover, so am I, but but she's really an animal lover. So very young, she wanted a puppy. I was like, okay, Jordan, this is the deal. I know you think you're buying a puppy, but what you're really buying is a dog. So, yes, it's cute and cuddly now, but you're gonna have to feed her, feed it, you're gonna have to walk it, you're gonna have to keep it, you're gonna have to nurse it back to health, you're gonna have to do, you know, you're gonna have to clean up behind it. Because after a year or two, three at the most, it is a full-blown dog. What I'm doing is I'm ready to help people in the puppy stage, but prepare them to be full-blown dogs, owners of the dogs.

SPEAKER_01 36:42

Owners of a dog.

SPEAKER_02 36:43

So that if we want to leave, we can leave on that note. Make sure that when you when you get your your AI puppy that you're ready for your AI dog.

SPEAKER_00 36:52

Oh man, I couldn't have said it better. That that is wonderful. That is great. Now, did you give us your email? If they need to contact you, what is the best way?

SPEAKER_02 37:01

It it is really simple, and and I'm I'm I'm modifying some things because I've I've I've had people get on me about be not as creative as I should be. It is Daryl T Black at Gmail, which is D-A-R-R-E-L-L-T Black, B L A C K altogether at gmail.com. But um, soon to come will be Daryl, Daryl T Black at metavision.com.net.

SPEAKER_00 37:26

Okay. Okay, all right, all right. So everybody knows that. Also, if you want to, and we have a lot of these shows and we're talking about AI because you have to get ready. This is a platform shift. This is huge. You know, when you talk about internet, you talked about mobile compute, you talked about cloud computing. This AI is a whole new fabric. Actually, AI will swallow all of those and in personal computing as well, is what it'll it'll do. But we've got to have where it's domesticated to be able to utilize within our workflows and it'll grow with us and to be an asset, not a liability. I think that's so so important. Make sure you tune in all the episodes at Five Star BDM. You can do so at the number five at a star s t for brand, d for development, informasters.com. Thank you, Daryl. Then for being on thank you so much, Grant.

SPEAKER_02 38:22

I appreciate it. I love the great job that you're doing out there. We need you out there. Thanks.

SPEAKER_00 38:26

Thank you so much, man. You take care. We'll see. We'll be talking soon.