One Big Idea 2 - Driving Operational Excellence: Scaling Enterprises, Monetizing Attention, and Decoding Financial Truth

0:03Welcome to the Thoughtful Entrepreneur. You asked for it, so we made it happen. Every Friday, we're doing something a little different. Instead of one long conversation, we're packing in four of them, four experts, four big ideas, all in about the same time it takes to drink your morning coffee. We call it One Big Idea Friday, and the format is simple. I ask each guest one question, And they bring their single best idea for business leaders who want to grow without the noise. No fluff, no rambling, just the thing they actually want you to remember. I'm Josh Helledge. Let's get into it.

0:45With our next one big idea, it's Dimitri Papazizis. Dimitri, you are the co-founder and CEO of Superbowl AI. You're found on the web at superbow.ai. Well, Dimitri, it's wonderful to have you. You're normally based in Dubai. I would love to hear, as would our audience, your one big idea. Well, thank you very much for having me. It's a peculiar time for Dubai right now, but here we go. Business never stops in Dubai, and business never stops around the world. So here we go. So the big idea, I believe, is that in enterprise AI, how smart and intelligence is no longer the bottleneck, but execution is really the bottleneck.

1:34So models can already produce very impressive output. But again, the large enterprises do not buy output. They really buy outcomes. So outcomes only happen when AI can really operate safely inside real systems with governance, with traceability, and human accountability built in. So that is especially true in highly regulated environments where, you know, they got all these sensitive data and systems are fragmented or old or data is scattered and sovereignty really matters. So in those environments, AI has to do more than sound smart, right? So it has to really act responsibly, explain itself, provide evidence packs.

2:25We've got to preserve evidence and know when to stop and hand over to a human, which is human in the loop. So that is the shift we are building for at Superbo, which is basically from model output to govern action. And I think that is where the real enterprise AI winners will eventually emerge. So not from who has the most spectacular demo, but from who can actually make AI trusted enough to execute inside the enterprise. That's the idea here. I love it. Now, Dimitri, if I could ask, so your website is Superbow. Your tagline is Brain Unleashed. And so you actually do this work. Do you mind just sharing just briefly what it is that you do for your clients?

3:20So we solve real problems, right? So we're not selling tech. So when we have some time to present to the client, we go with a very specific use case that we feel is relevant for them. So, for example, in the leasing company, if you want to lease cars, we go with a specific use case. We solve something, for example, customer support. Or in very large enterprises that have thousands of employees, we go with a use case or a workflow for HR. And these are a genic for us. There is also a very, you know, Josh, a very big misunderstanding of what AI agents are and what organic AI is. It's not the same thing, right?

4:00So this is, yeah, it's true. It's not the same thing. AI agent is one agent. It's like having one employee with one skill doing one task, period. Agenic AI, it's a system. It's a system of agents communicating with each other in order to produce a specific goal. So an AI agent is, and I know maybe it's the first time that you listen, you hear that, but it's probably the 11 in the room that nobody really touches and they say, we do AI agents, which is energetic AI. Well, got news for you. It's not. AI agent is a single unit. It's task-based. It's reactive. It needs instructions. And it has a very short lead execution.

4:46On the other hand, energetic AI is a system of agents. They're goal-based. They are proactive. They can plan independently. And there is a continuous execution loop. So if you had to map that, it's like an agent is one employee. But Agenda AI is a full company with processes, with autonomy, and roles. So it's a very big difference. So when we approach a prospect client, we try to solve something that has value for them. So we just don't, you know, we don't even pitch with a deck. We need some time and we go with the simulation in order to help them visualize how a solved problem looks like on the screen.

5:37And I think this helps a lot for process clients to understand. Although, to be very honest, we are in the pre-inflection market. So there is no adoption high right now in the market. Actually, we live in the adoption death valley right now. So the inflection is about to come. Nobody knows when, but we all know it will come for sure. So in the post-inflection market, the discussion will be different. Right now, it's a pre-inflection market. So here we are. And it's a pre-inflection market. And that's why it's the natural habitat of experimenting. So you get a lot of experiments going on and proof of concepts and pilos, but no one is really doing that from a productive full-scale production.

6:29Now, we got lucky and we had some large enterprises that we got the opportunity to actually go in full production. So we come from that. This is where we're coming from, not from theory. Yeah. Yeah. Well, Dimitri Papazizis, your website is superbow.ai. Very quickly, when somebody goes to your website and, you know, about 15 seconds or so what we have left, what would you recommend people do? Well, send us a message or they can even email me directly or they can send us a message through our website. We'll have a very big sales team. We're going to take over and we're going to respond very, very fast and arrange a meeting to explore how we could help.

7:18Enterprise Agentic Solutions is at Superbow.ai. Dimitri Papazizis, it's been great having you. Thank you for joining us. Thank you so much for having me, Josh.

7:32And with our next one big idea, it's Dimitri Lausch. Dimitri, you are a startup angel investor, and you are the co-founder of Perfect.Life. You are found on the web at Perfect.Live.com. And Dimitri, it's great to have you. Please share with us your one big idea. Yeah, I think the main big idea is that every business was built before for a human, and now AI agents come instead. So basically how to be ready and be visible for AI agents. Well, tell us more. Yeah, so you see, let's say, currently we already in a third wave. So first it was, let's say, internet. Second was, let's say, mobile. And now basically AI, what's the meaning of it?

8:29So it's very important to be in a Google search before, but now it's very important to be let's say in agents optimizations so it's Google optimizations and agents optimization so basically it means that you have to build your business and visible to business to normal AI agents to build the MCP servers to build let's say web pages without bot blocking and so on and through that part basically you can get and generate additional revenue and we understand that let's say chat gpt or the half a billion of users and we see all the examples worldwide so shopify example when you can buy basically one with one click every stuff what provide a Shopify next thing said to Walmart so basically with a Walmart you can buy in US with chat GPT different things and that means that they are coming over there and we see already that Amazon is pretty afraid and think do they need to be integrated in chat GPT or they have to build something else yeah so this is the case for a big even companies where they have to be afraid and and for sure i i believe that they will come to different ai systems to be visible and for a business as i'm currently let's say holding a concierge service business and it's fully let's say with people and let's say we first we build that website web pages then we provided is with app and now we think how our clients can communicate with us through the agents so this is the case that when you have your agents on your pc or private server so you do assignments for them and they do that job but the biggest problem here is hallucinations what happening with different ai models uh some examples what we basically we few years ago we already implemented different ai models and uh on a front end and then we've seen different things when basically yeah i provide you let's say you wanna get the paddle court and they provide you a tennis court yeah which is maybe puddle court is not existed there or they can provide you a restaurant with which maybe two years ago closed or maybe they today not opened at all so basically AI they provide nice fast information but it must be checked by real people so what it means it means that on some stage people or managers or owners of the company they have to to to be like orchestrator yeah so basically they have to manage e on different stuff and then let's say control what they're doing or implement any system approach where their managers or employees will check it.

11:54But overall, you can do, let's say, I don't know, maybe one person can do 10 times, 20 times things more than it was before. So I'm personally already holding around seven servers with AI agents. I have five, let's say, Mac Mini and Studios overall, and I have around 30 different agents. So all of them working, building new products, checking, let's say, employees, talking with employees on Slack and Telegram. So they provide and send some emails and so on. But on every step you have to control them. otherwise we also have we've seen different stories about let's say guys from big companies where emails were deleted or they spawned a lot so this is the case where we have to be ready and it's interesting that i think some advice to normal physical business is to be expert in this business because overall ei can do a lot on stuff with automatization but physically let's say why i choose the travel business because basically hotel it's a physical place where you have to come and leave the area and or you you have to be transferred by car with a driver or somebody will meet you on sport like on Maldives or something like that.

13:30That's why this space will be always, let's say, arranged by people. And for sure, a lot of businesses and businessmen, they have physical business, what you can connect with AI, but still AI needs to be connected with you. This is a very important part. It's quite a dance. Dimitri, tell me about Perfect.Live. We have about 30 seconds left. Tell me who you serve. And again, it looks as though you primarily provide concierge services. Yes. So overall, we serve high net individuals privately, and we did integration for businesses. So basically, we provide a white label solution for banking, for fintech industry, for every industry.

14:23what needs, let's say, introducing or integration of concierge services inside their businesses for premium segment. And your website is perfect.live. And when somebody goes there, what would you recommend? There's a get in touch button. What's the next step to enter the club? So basically, to enter the club, you have to try the service. And then, let's say, move forward. Because what we help, so we save time, first of all. So we do the biggest job on our side. And you can focus on your job. So this is most important what we do. So basically, we have a solution for different problems. And we manage the whole travel activity.

15:21Excellent. Dimitri Lausch, again, you're the co-founder of Perfect.Live, found on the web at Perfect.Live. Dimitri, thank you for joining us. Thank you.

15:34With us right now with our next one big idea is Evan Chi. Evan, you are the founder and CEO of Regenesis.io. You're found on the web at Regenesis.io. Evan, thank you for joining us. I would love to hear your one big idea. Thank you so much for having me, Josh. And look, the one big idea is this. And that's that as content becomes more abundant, attention becomes a more and more scarce resource. So why is that important? And what does that really mean? Well, it means a couple of things, right? So in order to achieve that awareness, what that means is truth does not necessarily need to be the tool.

16:21because the path to awareness is engagement. And for creators to garner more engagement, that means that they are going to be doing things like sparking outrage, stoking fear, because those are the things that create more engagement, right? So unfortunately, these content creators are incentivized to polarize people, to talk about very controversial subjects, et cetera, et cetera. us right and so that's really important kind of for the future of content um and so how did we get here and why what does that mean for our futures um it's really kind of the culmination of three things how we got here right and so the first of those is um the creator economy right or influencer marketing where there's an entire generation of people who you know they're able to go out and generate revenue, earn a living using a piece of equipment that they already probably own, and sometimes talking about things that they're already doing, the meals they're eating, the places that they're traveling to.

17:32And so there's an entire generation of people out there that says, well, geez, well, through content, I can actually make a living, right? So that's definitely one of the drivers for this kind of like influx of content, right? The second is the kind of transition from UGC to EGC, right? And so UGC is that user-generated content, just, you know, the creator economy. And it's kind of evolving now into what we call EGC, right? And so So EGC is employee generated content. So the brands, the companies, they are catching on and they're saying, well, social media is this large untapped resource. And so more and more of them are incentivizing their employees to go out and create content and to engage and to share with company content, because that ultimately is a false multiplier for that brand awareness.

18:27Right. And so the third main contributor to all of this is AI, obviously. And so now we kind of all have the ability to go create content at scale very, very, very easily. So, for example, I can go to any chatbot today and with just a few prompts, I can create a year's worth of content at little to no cost in just under a few minutes. right? And so if you think of these kind of three things kind of coming together and culminating into this term that we hear a lot, AI slop, this content that we're getting tons of today, just a year ago, it would have been considered good content. It would have taken considerable resources to create, to think about, and to execute, right?

19:22But today it can be done at the push of a button. So really that bar for our attention is really being set much, much, much higher. So why does that matter? And why is that important to us? Well, like I said, the path to awareness is through engagement. And unfortunately, the easiest way to get engagement is again, through fear, outrage, controversy, fake news. And so most of these creators are really going to be incentivized to put that kind of content out in front of us. Okay. So what does that mean for the future? And what does that really look like? It means that a lot of attention will probably be harnessed or siloed into a few brands.

20:11And we're kind of seeing this today, like Mr. Beast, where he has an intense following across many demographics, across many different languages. um second is that you know there's going to be less and less trust because there's so much fakery out there and it's so hard to tell what's fake from what's real that trust is really really going to erode and so that means another thing that means that that trust is really going to be more and more important when it comes to content right and so finding those voices that we do trust is going to be important. And those people will be trustworthy because they understand the psychology behind the content.

20:54Okay. And so lastly, what does this really mean for you and me going into the future? Really what it means is that if I am not actively shaping my brand narrative, if I'm not telling the algorithm what I'm interested in, who I'm all about, you know, then the algorithm is going to do it for you. Well, Evan, thank you so much. Listen, as you were talking about, you know, where social media, unfortunately, is incentivizing behavior, I just feel this in my tummy. That's the last thing we need is more contention and more polarization. But here we are. So, well, Evan, you're one of the good guys. So share with us a little bit about what you do with Regenesis.io.

21:51We are a go-to-market system for brands, and we essentially help brands turn LinkedIn into their number one go-to-market engine. And we do that through a number of unique tools that we have, things that can't be found in marketing agencies. And we do that a lot through business intelligence, understanding the data, deep diving, understanding who's engaging with you, how they match up with your ICP. And then we build lead lists through that. And so we have kind of a very unique system that allows us to not only solve your content distribution, but take all of that great data and find your customers with it.

22:37Yeah. And that is at Regenesis.io. I see some really cool tools that you've got on your website. So to our friend that's listening, please check out the work that Evan and his team are doing at Regenesis.io. Evan, it's been a great, thank you so much for your one big idea. I think sage advice that you've given. So thank you so much for joining us. Thank you so much for having me, Josh. Thank you so much.

23:07With our next one big idea, David Safir. David, you are the founder of Cash is Clear. You're found on the web at cashisclear.com. David, thank you so much for joining us. Please share your one big idea. Josh, here's something that's going to bother you once you hear about it. When a business is bleeding cash, most financial professionals do one of three things. They cut expenses or they go chase the receivable, the money that's owned, or they try to get a line of credit. It's not a diagnosis. They're just guessing, basically, of what to do. And it's leaving money on the table for those clients.

23:55And it's killing them slowly. Wow. The big idea is this. Cash flow problems can be diagnosed the same way a doctor diagnoses a patient. Not with a gut feeling, and not with the same three tried and tired mechanisms, but with systematic and differentiated diagnosis, you can match symptoms and a specific situation with remedies for that situation. And you can also treat not just the pain, like here's a pill, good luck with your broken arm, come back tomorrow, we'll give you another pill, but the actual root cause. You set the arm and it's fixed. That's what we're talking about, not symptoms. So I built a diagnosis system for cash flow.

25:01It's called the Cash is Clear Maximizer and it's a diagnostic tool. That's the idea that you go in and financial professionals, accountants, fractional CFOs, bookkeepers, financial planners, those types of people are working with clients who have cash flow issues. and you can give them real answers, not just another report. So here's what's going on. Most financial professionals are trained on gap accounting, generally acceptable accounting principles, and it tells where the numbers were yesterday. That is history. It doesn't tell you how to fix anything. And it's two completely different skills.

25:49So you've got a brilliant accountant sitting across from a business owner who says, I'm profitable on paper, but I don't have any cash in the bank. And the accountant doesn't know how to respond, let alone solve the problem. But it's obvious something's wrong. They don't have a structured way. Now, this is the accountant, financial professionals. They don't have a structured way to get these strategies out. and if they try to help, they maybe have 10 to 20 strategies. You go out and look for articles, it's rotating the same 20 strategies over and over and over again, except for the one that's the magic bullet, which is the person who wrote the article and buy my product, you'll fix everything.

26:31Of course. Right. So it's without a system, they're just guessing. So that's where this idea is to have the cash clear maximizer solves it. I've got over 230 strategies today across 11 different financial categories inside the business. It's not just accounting. Accounts receivables, accounts payables, marketing, human resources, you name it, that you can fix it from a cash flow perspective. So you can tell the situation by using filters. You know, what industry, what's the symptoms, how fast you need results today because you're in cash shortages or do you want long-term benefit because you've got excess cash?

27:14These are the strategies you'll never find in a textbook. They're not written down. This is from the School of Hard Knocks, an experience that I've been able to document. This is meant to challenge conventional financial advice on purpose because so much of it is counterintuitive. So if there's financial professionals that are serving multiple clients, this is a way to stop reinventing the wheel and actually start making a difference and show up with a diagnostic framework that makes accounting professionals indispensable because they're helping grow and provide profitability to the company. You don't just report, you fix.

28:04That's the Cash is Clear Maximizer. That's the one tool. and it's over a couple hundred strategies. That's for the people who say, where did all my cash go?

28:19All right. Now, David, if we had more time, actually, would you mind? I want to make a couple, if I could, if I make one tweak here, and I'd love to record it again, if that would be okay. Yeah, yeah, sure. Okay. So I feel like there was a little bit of this still like it's all behind the curtain only if you act not you weren't saying these words but i felt like the solution was something that um was only something like it wasn't actionable so um it just a subtle couple of subtle tweaks it really really simple i have a completely separate call to action that i stopped i thought you were going to ask me about it and it's not it's it's not call to action.

29:01What I'm hoping for is I don't want, so you introduced the problem and then you introduced the solution as your solution. And so that then feels like, okay, well, there's nothing I could do other than listen for the pitch. Does that make sense? So really simple, really simple fix. So all you simply have to do is let me give you, okay, these are very common ways that people address it. Now, the reality is there are actually over a hundred possible solutions that one could employ. Let me give you three. And in fact, to our friend that's listening right now, whether you're a financial professional or you're not, if you're a business founder, let me give you three things you might consider looking at.

29:45Now, I don't have time to get into all these three things, but I feel like if you just gave them a little bit of a taste, I think that that would relieve that pressure of, yeah, does that make sense? Yes. Okay, I've got to write it down though, because my mind goes blank when I try to come up with three that are unusual. So let me just, okay. So let me just. And by the way, if you want to say that in the form of a story, that would be even better. So you say, for example, you know, one of my, one of our, you know, financial professionals was working with a trucking company. And so, you know, if you're a good doctor, you know, doctors don't assume there are only one of three possible things that could be wrong with you.

30:36There are an infinite number of things that could potentially be wrong. And so you diagnose, you diagnose, you diagnose. Well, in this case, they diagnosed and found that the actual best solution. And so sometimes, so I guess my, so if you could, But like you almost want to say, you know, whether you're a founder or a financial professional, please don't feel that it's either, you know, cut money or get more sales. Like it may very well be. But, you know, there are other things, you know, for example, this is an easy one. You know, it's like taking a look at your subscriptions, right, your SaaS products.

31:13And, you know, are you sure you're in the right, you know, that's an easy one. You know, I don't know. I'm just like, you know, whatever, whatever, the more creative, the better. And if you got a story around it, that's even better. Is that cool? Yes. Okay, good. Good, good, good, good. All right. And I just found, while you were talking, I wrote down the three. So that's great. Okay, brilliant, brilliant, brilliant. Okay, cool. So let me do a quick introduction. Let me ask you one more question. How did I run from a time perspective? I got to do the timer. So... And I forgot to set my timer also.

31:46No, that's all right. Let me worry about it. Let me worry about it. And then I will just, if you see activity in the chat window, I'll try to do it at 30 seconds. Okay. Okay. And then maybe 20. Did I go longer? I'm going to do 30 and then 10 seconds. Okay. Sounds good. All right. Here we go. Let's do it again. Sounds good. I'm kind of new at this too. And so we're going to, you know, again, it's kind of a unique format that I'm just trying to get everyone to contort themselves to as opposed to a conventional podcast. But like I said, the feedback has been really good. So, okay, here we go. All right.

32:24Sounds great.

32:27With our next One Big Idea, it's David Safir. David, you are the founder of Cash Is Clear. You are found on the web at cashisclear.com. David Safir, thank you so much for joining us. Let's hear your one big idea. Josh, thanks for having me here today. And this is going to bother you once I give you this concept. When a business is bleeding cash, most financial professionals, they do one of three things. They cut expenses, or they chase money that's owed, or they try to get a line of credit, which, by the way, is probably too late because the credit's shot by that point. becomes an emergency. And they're not trying to diagnose and figure out what the root causes are.