Why Relationship-First Platforms Will Win The Next AI Wave

[00:00:04] - [Speaker 0]
Small businesses have never had more software at their fingertips. And yet, many owners and indeed employees still feel buried in admin, dashboards, half finished tasks, the list goes on. The promise to us all was technology was gonna boost our productivity, but the reality in the workplace and indeed our personal lives often looks like longer days, doing more, and less time with customers. So today, I've invited Jess Lipson, founder and CEO of Levitate, to come on here and talk about what it is that actually helps businesses move forward in an AI driven world. And we're gonna look at some tools that rarely solve the problem, how AI can act more like a trusted assistant than just another app, and why real human relationships, why these things matter more than automation ever could.

[00:01:01] - [Speaker 0]
And we'll talk about using technology to give people time back, not take more of it away, and designing AI that supports human connection rather than replacing it. But before I get my guest on today, I wanna give a quick thank you to my friends at Denodo who are playing a big part in support in this show. Because one of the questions I hear more and more from listeners on this podcast is, why does AI succeed or why does it fail? Because let's be honest, AI is moving fast, but success is often still elusive. Now most projects fail not because of the AI, but because the data foundation isn't ready.

[00:01:43] - [Speaker 0]
This is why organizations are increasingly turning to Denodo. Denodo delivers trustworthy and AI ready data without the need to copy it everywhere. Essentially, you can optimize your lake house, accelerate agentic AI, and build data products that finally make self-service real and achievable. So if you're ready to understand why your AI projects fail and how to succeed with AI, simply visit donodo.com and take control of your data world. Enough from me.

[00:02:18] - [Speaker 0]
Let's get Jess onto the podcast now. So a massive warm welcome to the show. Can you tell everyone listening a little about who you are and what you do?

[00:02:29] - [Speaker 1]
Yeah. Absolutely. My name is Jess Lipson. I'm the CEO and founder of Levitate. We're a software company based here in The US.

[00:02:40] - [Speaker 1]
We have almost 8,000 customers, and our main focus is using AI to help small businesses keep in touch with their clients and their important business connections in a more personal, authentic way at scale. And I've been an entrepreneur just about my whole career for twenty five years. I previously started a company called ShareFile back in 2005, and it was acquired by, Citrix back in 2011. I started this company. I left Citrix back in 2017 to start this company.

[00:03:15] - [Speaker 1]
So having a lot of fun building, AI tools.

[00:03:19] - [Speaker 0]
Wow. What an incredibly cool backstory there. And one of the reasons you set off my tech spy these sensors and I was reading online that you often point out that small business leaders spend hours each week fixing software and instead of serving their customers. And as an ex IT guy, I can completely agree with that sentiment 110%. But I'm curious.

[00:03:41] - [Speaker 0]
How how did we end up with more tools but fewer real outcomes? How did that happen?

[00:03:46] - [Speaker 1]
Yeah. I mean, I think that, you know, software has added a lot of productivity to the economy, so I don't wanna I don't wanna throw too much shade on on the software industry. I think it's Yeah. It's great compared to what was there before. I think, one of the challenges, I think, for small businesses specifically is that in a larger enterprise, you have software that's built for HR, for marketing, for finance, but you also have an employee who's an expert in that field or maybe even a whole team that's running that software.

[00:04:21] - [Speaker 1]
So, like, there's accounting software, and you've got a accountant who runs the accounting software. And so it's a good productivity tool for them because they've gone to school, and they've had years of training in in accounting. I think that the challenge for small business is that you buy marketing software, you buy accounting software, you buy all this other software. Well, the software only solves part of the problem. You now if you have QuickBooks, say, example, yes, you have QuickBooks and you pay $50 a month for it or whatever, but you also now need to learn accounting.

[00:04:56] - [Speaker 1]
You know? That's the way that software is designed now. And so I see my wife. She has a small business. She has an ecommerce site, and she spends hundreds of hours trying to figure out journal entries and reconciliation and essentially having to learn to become an accountant.

[00:05:11] - [Speaker 1]
And the same thing, if you get marketing software, yeah, pushing the button is easy, but the hard part is is still, you know, fully ahead of you as a small business. It's like figuring out what to write, writing it, designing your strategy, keeping keeping tabs on what's going on in the industry and how it's changing. So I think for small businesses, well, the software has been provided to them. The core problem is still is still on their shoulders, which is becoming an expert in all these different things. The software is not truly solving your problem.

[00:05:45] - [Speaker 1]
You still have to become an expert in order to use the software.

[00:05:49] - [Speaker 0]
And I think there is also a growing belief that the future of AI is gonna need something a little bit different to what we're used to. It's not just about adding another app or another dashboard. So from your perspective, what separates platforms that are really genuinely helping businesses with a a measurable impact, for example, from those that just simply increase logins and add yet another subscription to the list?

[00:06:13] - [Speaker 1]
Yeah. I think one litmus test is, you know, is it saving is it truly saving you time? Are you actually seeing productivity increase? But I do think with some of the AI tools, the potential is filling part of that gap that software created. So, like, let's take, for example, the accounting.

[00:06:34] - [Speaker 1]
Okay. In the world of SaaS of or desktop software, now I've got QuickBooks. Okay. That's great. That's better than pen and paper or maybe not doing it at all.

[00:06:43] - [Speaker 1]
But I still the ideal case, if I was a small business and I could afford it, would be just to hire a bookkeeper, and then I don't even worry about it. I just talk to my bookkeeper. They tell me about what's going on. I ask them questions, and they run the software. I think the the promise of AI is to be like that bookkeeper where I don't even need to know.

[00:07:04] - [Speaker 1]
I talk to it just like I would talk to a bookkeeper if I could afford a a full time bookkeeper as a small business, and I can check-in and say, hey. How are how are our numbers looking? How's our cash looking? And it it knows all the gory details about how to write GAAP compliant, you know, run a GAAP compliant, you know, p and l. And so I think that is the promise of what AI can do is, apply some of what you really need to get true productivity from the software is, like, you know, the the junior employee, the assistant that actually, you know, helps you run it.

[00:07:39] - [Speaker 0]
There's so much talk at the moment around AI replacing people. We've all seen those scary headlines because that that's what gets all the clicks. But refreshingly, you talk about blending intelligence but with human guidance. And why do you think this combination is so important for small businesses, especially when many vendors just promise full automation out of the box? Tell me more about that.

[00:08:03] - [Speaker 1]
Yeah. I think specifically, you know, we deal in an area of, you know, relationship based businesses, and I think the human touch is still important. I think us as humans, we do have we develop a really good radar to filter out what is not personal from what is personal. And so, you know, 20 ago, you could create an HTML newsletter in Mailchimp or Constant Contact, and and that worked really well because not that many people were doing it. Then eventually, everybody's doing it, and so you start to tune out those newsletters.

[00:08:40] - [Speaker 1]
And then, you know, people came up with some clever drip sequences, and that worked for a while. But people kinda develop a really good radar of what what is real and what is automated. And I think people always value real real connection. And I think, you could already start to sniff out AI slop or, you know, AI communication that doesn't have the human touch. And so our feeling is we want AI to be behind the curtain and empower you as a, you know, give you superpowers as a as an individual to remember those birthdays, remember the vacation that somebody went on so that you can still reach out authentically.

[00:09:28] - [Speaker 1]
I think, you know, some like, I don't know if you've ever gotten from your dentist or something the automated happy birthday, but it's clearly just written by a machine. You know? And so it's like, I don't give them any credit for that. So they bought a piece of software that just spits out happy birthday. They're not really happy.

[00:09:44] - [Speaker 1]
It's my birthday. It's a lot different than if my dentist actually texted me or called me and I knew it was him. You know? And behind the curtain, I don't I don't I don't, discredit my dentist if behind the curtain, he's got a really great system that helps remind him to call me and give me a personal call. So I think our idea is keep the AI, for the most part, behind the curtain when it comes to personal interaction as a way to help you do a better job, but the face of the interaction should still be, a human, and that's what people will will appreciate and and kinda give you credit for in terms of deepening the relationship.

[00:10:24] - [Speaker 0]
And that being human element there is so important. And I think communication in an AI age can be so frustrating. We got so many people working from home, hiding behind emails and instant messaging and Slack. And and then if you go on LinkedIn, there's just so much AI slot there and clearly just generated stuff. And one of the reasons I wanted to bring this up is I I know at Levitate, you've got this happiness platform that combines authentic communication tools, dedicated success specialists, and AI to help build those lasting relationships.

[00:10:57] - [Speaker 0]
Tell me more about that.

[00:10:58] - [Speaker 1]
So we've kinda, you know, I guess the same philosophy that I laid out there. We we implement ourselves, which is we've got a lot of automation and AI that helps us behind the curtain, but we still feel very strongly in working with small businesses that we wanna give you a person that you can meet with every quarter to kinda map out your content plan and help you write content, figure out what your goals are. The way that we're able to do it profitably is we got a lot behind the scenes that's being being done that is driven by AI. But from our client's perspective, they're they're talking to a person and jumping on the the phone like I am with you right now every quarter, and it's like, hey. I'm chatting with Neil.

[00:11:41] - [Speaker 1]
He's asking me about my goals. He's showing me what he's come up with me for my social and email strategy and my web strategy. And so I think about it like a recipe. The right recipe for delivering service in the modern age has, you know, some ingredient of AI, some ingredient of traditional software automation, and then some ingredient of human touch. That getting that right mix, it will depend, and it will change over time, but I think it always is a mix of each of those ingredients.

[00:12:12] - [Speaker 1]
And maybe for different businesses and different industries, it will be a different mix. You know, maybe it's more AI in some cases and and a little bit less human, maybe more human, less AI depending on the service that you're consuming. But I do think thinking about it as, you know, a recipe, with all those ingredients is the right way to think about it.

[00:12:32] - [Speaker 0]
And I'm curious. There's somewhere right in the heart of this space. Do you see any particular shifts coming in in how small businesses are beginning to think about AI, particularly around relationships, trust, and long term customer value? Because you must have the air of so many businesses that find you online and and ask the questions. But are are there any trends in those those questions that are coming your way too?

[00:12:53] - [Speaker 1]
I think a couple things. I think one, small businesses are starting to realize that the expectations of their customers are changing. Customers are are getting used to being able to chat with ChatGPT and just get answers to their questions. And so I know for myself, it gets really frustrating now when I go to a traditional website that's got 10 levels of navigation. I need to find my tax documents or something, you know, and I go and log in to my bank, and I just need to, like, click around.

[00:13:29] - [Speaker 1]
I I just wanna ask, hey. Where are my can you just give me my document? And I think, so for small businesses, I think, they're gonna have to adapt to their consumers changing expectations so that when a consumer goes to their website, they can offer a ChatGPT like experience in terms of servicing them, you know, answering questions, things like that. So enabling their website, their app their kinda cons consumer customer facing applications with with that kind of technology, which also I think consumers with AI will expect to be able to get more answers twenty four seven. So that is one piece.

[00:14:13] - [Speaker 1]
I think another piece which is probably still early. I don't think most small businesses yet know they need this, but I think they will, is moving in AI from just chatting with ChatGPT or something like that as a a way to improve productivity to the world of AI agents where, you know, in the example I gave before, they are truly be able to chat with an agent in their business and have the agent go off and do a bunch of work for them and come back, you know, versus just the q and a format of something like a chat GPT. And I think that's where small businesses are gonna see a major breakthrough because they are the ones that they don't have a marketing person. They don't have a accountant. So an agent is gonna unlock a huge amount of power for them.

[00:15:02] - [Speaker 1]
I do think it's really early. I'm not sure if it will happen in 2026, but I know it will happen, you know, over the next few years in small business.

[00:15:10] - [Speaker 0]
And I know there will be many business owners and startup founders listening that do feel somewhat overwhelmed of where should they begin when it comes to AI. So for the for those people listening, they wanna be part of this. They wanna leverage the technology, unlock some of the value from that. But what are the most practical first steps that you'd recommend, whether it be custom GPTs, documentation, or anything that that would just actually fit into a business small a small business workflow?

[00:15:38] - [Speaker 1]
Yeah. Yeah. I see it as kind of, you know, beginner, intermediate, advanced. So Yeah. Beginner is just use ChatGPT or similar product as much as possible in your business as you have questions instead of googling.

[00:15:56] - [Speaker 1]
You know? Or you could go to Google's Gemini or ChatGPT. Try to say, hey. I've gotta write I've gotta write a marketing plan. Can you help me?

[00:16:03] - [Speaker 1]
And just get used to, exercising chat, AI chat as your first option and trying to understand what the power of that is. Along those lines, what I would recommend if you're a business is, systems like, like ChatGPT as well as Claude. They have Teams accounts that you can get so for yourself and your employees, and that protects your intellectual property a little bit because with the team account, they don't train on your data and things like that. And so the first recommendation I would have if you're a small business is go ahead and get a team account so you can make sure you're not leaking, you know, your any sensitive data, that's getting retained and using to train models. Make sure your employees are all under that team account, and then just make sure you're you're regularly using, the tools.

[00:16:58] - [Speaker 1]
That's beginner step. And I think a lot of people are there or, you know, pretty close to there already. A year ago, it was a lot less so. Intermediate step is ChatGPT and and Claude and these others have, these things that they call custom GPTs where you can kinda, without having to be a coder or anything like that, you can create your own little customized version, you know, where you give it some additional context like, hey. Here's my help documents for my company.

[00:17:30] - [Speaker 1]
I'm gonna upload those into my custom GPT so that when my employees are looking for something, maybe it's got my HR documents with the days off or something. So I've got a custom GPT to help my employees answer any questions they have about HR policies. So that's kinda stage two, and that unlocks it's pretty easy to do. Average user can do it. You just gotta kinda go out and, in when you have the paid chat GPT and try to create a custom GPT.

[00:17:57] - [Speaker 1]
And once you do it, you'll start to see all kinds of, applications for it. Then Yeah. The the third the third kinda level, which is the advanced jump, is truly using AI agents to kinda automate things in your business. That requires a lot more of a lift because oftentimes you are having to integrate the AI agents into your existing systems, get some custom code written, think tools like Cloud Code. I know, like, at our company, my head of sales, we just got him on Cloud Code, and he's vibe coding and writing some app you know, some stuff so that he gets an automated sales report every, you know, two hours into his inbox.

[00:18:45] - [Speaker 1]
And he's not a coder, and he did that and put it together. And so that's kinda, like, the next level for a small business. I do think, like, a great way to get ready as a small business for all of this is, you kinda hinted at it in your question, is written documentation. Because Yeah. You know, an AI can't learn through osmosis like most employees that you hire where they just overhear the the conversations by the water cooler, or they sit on calls.

[00:19:13] - [Speaker 1]
Although I'm sure AIs will start to sit on calls and learn that way in the future. But for now, a lot of the way that you you would train the AI is based on written documentation you have. And a lot of small businesses just don't have things written down and documented. So a great way to prepare, which is also things that you should be doing even pre AI. We we all should be doing it, but, you know, it's it easily gets pushed to the side.

[00:19:36] - [Speaker 1]
Writing documentation is, you know, not everyone's, like, hottest priority. But start to document, hey. Like, how should we respond to a customer support request? What are the principles that we wanna follow, and what are the common, you know, issues that come and how we would respond to them? And let's let's write that in a document, and then, that's gonna allow AI to, be able to help you a lot more accurately.

[00:19:59] - [Speaker 0]
This month, I'm partnering with Alcor. And if you've ever tried to hire engineers in another country, you probably know just how painful it can be. Different laws, patchy support, and partners who don't truly understand engineering roles. So Alcor approaches this from a different tech point of view. They specialize in Eastern Europe and Latin America, and they're able to combine EOR capabilities with recruiting.

[00:20:26] - [Speaker 0]
So you get one partner handling everything, and they help you choose the best location for your stack, find developers with the right depth of experience, and run proper assessments so they can onboard people quickly. And they also give you a model that respects both transparency and margin. Most of your spend goes directly to your engineers, and the fee will decrease as the team expands. And you can even transition everyone in house at that time when you're ready without having to worry about a penalty. And that structure is why a mix of early stage and unicorn stage companies use them as they scale.

[00:21:03] - [Speaker 0]
So if you wanna take a look, visit alcor.com/podcast or tap on the link in the show notes. But now on with today's show. And customer support and sales, they're often first areas where AI is introduced into an enterprise of any size. So what does it take to integrate AI into those core processes, but without losing the human touch that customers still expect? We've seen a lot of bad examples over the years with chatbots that we just frustrate the hell out of us.

[00:21:33] - [Speaker 0]
But, what what are seeing here?

[00:21:36] - [Speaker 1]
There are some areas where I think it's good to expose an AI, to customers. The for example, I would probably rather have an AI that can answer my question if at 11PM when I'm done with work. If I'm needing to make an appointment with my doctor than waiting, you know, for the 10AM to 3PM hours that my doctor would let me call in and make an appointment even though it is nice to talk to a person. You know? So I do think there's some things with customer support and sales where that AI unlocks that improve the customer experience.

[00:22:14] - [Speaker 1]
But I think, in general, that same principle I mentioned of, you know, you can have AI behind the curtain that's doing a lot of the legwork, but maybe you're you're still able to connect with with a person on the front end. And so, like, one example, in our company, we have a customer support team. And so if you call, you'll talk to a person. If there's an issue, though, normally, they would have to escalate that to our engineering team, and it may take a day or something like that for an engineer to free up and look at it. Well, now we we've created an AI agent.

[00:22:49] - [Speaker 1]
So our customer support team can just on a support ticket, they can just mention the AI agent. It will go look at the code base, look at all the logs, and within minutes, be able to provide the support person with maybe an answer that then they can give the customer. We're working on also exposing that directly to the customer. And so, again, like, in that case, we're not turning off the ability to contact a person if you want to, but it's a great experience for a customer to get an answer in five minutes instead of, you know Yeah. Twenty four hours.

[00:23:22] - [Speaker 1]
And so I think those are the kinda use cases that, can make a lot of sense and actually deliver a better customer experience versus just a cost savings where you maybe have a degraded customer experience using AI, but it's just like, it's good enough.

[00:23:37] - [Speaker 0]
And I love what you're doing here in solving real world problems, and it's something that's, been with you throughout your entire career. And if I was to ask you to look back on your journey from bootstrapping ShareFile to building Levitate, Any advice you'd give to any startup founder listening or operator who who wanna use AI to strengthen real relationships rather than just chasing that next shiny piece of software or jumping on the bandwagon of what everyone's talking about? What advice would you give them?

[00:24:05] - [Speaker 1]
Yeah. I would say, you know, the we all have I think we all have the experience with relationships of, wanting to be. We probably all have met somebody in our in our careers, in our lives who they're just great at, remembering who your your spouse's names, kids' names, pet's name, where you told them you went on vacation last time. And it makes you feel very special to, have someone who does keep in touch, authentically, remembers things about you, reaches out at relevant times that they know. Like, let's say I'm a Duke basketball fan, and they reach out congratulating me when Duke wins a national championship or something like that.

[00:24:51] - [Speaker 1]
And and, I think we all know that we don't do nearly a good enough job of that kind of thing. I know that even with friends and family, I don't there's a lot of people that I wish I was I was keeping in touch with more that I'm not. And so I think that, what I would advise is try to use AI as a, you know, second brain and a tool to help you do more of that stuff that you want to be doing that you're not doing, versus a way to, do do an even worse job by just sending send you know, sending people completely automated things. Fine. But use use that as a way to be the the person that you wanna be, the thoughtful person who, you know, sends the gifts and sends the cards and checks in with people and, like, you know, that's all that's all the stuff that really, really matters.

[00:25:42] - [Speaker 0]
Love it. Fantastic advice. And, also, if we ask you to look back one more time, I suspect you've picked up a few war stories, interesting stories, and funny stories. I'm not sure if there are any you're able to share with me today, but what is the funniest or interesting story throughout that career when you look back?

[00:25:59] - [Speaker 1]
Yeah. Yeah. I mean, I mentioned prior to Levitate, I had started this other company called Sharefile. Yeah. And we were Citrix had expressed interest in us, in acquiring us.

[00:26:14] - [Speaker 1]
This was back in early two thousand eleven. And we heard from their corporate development that they were interested, then kinda they went quiet for a while. And I was going to a conference with a friend of mine, and and I had checked my bags already. We're flying from Raleigh to I think the conference was in Aspen, Colorado. We I had checked in.

[00:26:40] - [Speaker 1]
We were boarding. We were in line. I was like my friend was two or three people ahead of me in line. All of a sudden, I checked my email, and it's Citrix. And they popped back up and said, hey.

[00:26:54] - [Speaker 1]
We wanna restart the conversation. This is on a Tuesday. We would like to to come meet you in Raleigh on Thursday. And so I basically turned around and just walked out of the airport. And I couldn't tell my friend because it's confidential.

[00:27:12] - [Speaker 1]
You know, they're a public company. So I just, got out of line and and walked out of the airport. And so he had he probably got off the plane in Aspen and was like, woah. What happened to this guy? My bag was showed up on the on the, baggage claim unclaimed, and, and I couldn't tell him what happened.

[00:27:31] - [Speaker 1]
And so it's kinda like, you know, those romance movies where the, you know, somebody runs out of the airport to meet their their partner, except it's kinda like the capitalist equivalent of that, I guess, where I ran out of the airport. And then Citrix, they chartered multiple private jets because they had a office in Santa Barbara and Florida, and they were trying to move on this quick. And they all flew in on Thursday and descended to Raleigh. We had a really productive day. Then the next day on Friday, I finally did go by to Aspen and get you know, so I could get my bag and, like, show up.

[00:28:06] - [Speaker 1]
And then, you know, months later, the acquisition closed. But, that was, that's one of those those entrepreneur war stories that, that I still remember.

[00:28:17] - [Speaker 0]
Wow. What a great story. If Richard Curtis ever does a a a start up love story, that's gotta be a scene, ain't it?

[00:28:22] - [Speaker 1]
Exactly. Yeah. Yeah. Exactly.

[00:28:25] - [Speaker 0]
And finally, before I let you go, I always ask my, guest to leave everyone listening with a final gift. That can either be a book that we can leave to the Amazon wish list or a song for our Spotify playlist. Guilty pleasures are allowed. Whatever it is. Yeah.

[00:28:40] - [Speaker 0]
But what would you like to leave us with and why?

[00:28:43] - [Speaker 1]
Yeah. So, probably a book. The there's a book called unreasonable hospitality. I would say that, it came out a few years ago that really influenced me. I've always been, been fascinated by creating, amazing hospitality experiences, and that's part of what we've been doing with Levitate.

[00:29:02] - [Speaker 1]
And so this was written by, a guy who ran one of the, Michelin star restaurants called Eleven Madison Park in New York and some of the amazing things that that they did, hospitality wise. And so I I find it so inspirational, the the creative things that folks like him do, and it really kinda breaks you out of the mental mold of what could we do in our business that really creates an amazing impression. And so, like, an example that they had was they, will check with people, whether they were part have drove there and parked or, you know, took a Uber. And if they had parked somewhere, they'll offer to put you know, feed their parking meter for them just so they don't have to stress out at the dinner. And they have a bunch of different stories about how they've implemented this this concept of unreasonable hospitality to create kind of an amazing service experience.

[00:30:02] - [Speaker 1]
It's worth

[00:30:02] - [Speaker 0]
a read. Brilliant. I will get that added straight to our Amazon wish list. And for anyone listening wanting to dig a little bit deeper on what you're doing here and also find out more about Levitate, of course. Where can they find out more information there and, and and get on board?

[00:30:19] - [Speaker 1]
Yeah. Our our website is levitate.ai. So pretty simple. We were AI way back in 2017 before it was cool. So, yeah, you can visit levitate.ai to learn about us.

[00:30:29] - [Speaker 1]
I'm on Twitter, Jesse Lipson, j e s s e l I p s o n. And, yeah, I look forward to connecting with anyone.

[00:30:39] - [Speaker 0]
Awesome. I'll add links to everything. Doing AI before all the cool kids hopped on board. Love it. And there's so much talk of AI replacing people, but I love how you're using it as a a support partner of sorts to deliver this authentic communication set of tools that use AI to help people build lasting relationships.

[00:30:58] - [Speaker 0]
We've given so many bad examples of it out there. We've all experienced it, but this is a great thing that you're doing here. So best of luck with that. I'd love to get you back on later in the year, see how things are going, but just thank you for joining me today.

[00:31:09] - [Speaker 1]
Yeah. Absolutely. My pleasure.

[00:31:11] - [Speaker 0]
I think what I really appreciate about this conversation with Jess today is the the clarity around intent. AI does not have to feel cold, transactional, robotic, disconnected. Because when it's designed well, it can help people show up more thoughtfully, remember what matters, and build stronger relationships. And from the idea of AI as almost a second brain to the importance of keeping the human face front and center, There are a lot of lessons here, I think, for founders, operators, and indeed anyone that's just trying to cut through the noise of modern software. And finally, I think it's a a reminder that progress isn't about chasing every new feature and shiny new tech.

[00:31:56] - [Speaker 0]
It's about solving real problems, but in a way that feels authentic. And Levitate is one company that seems to have mastered that. So if this episode made you rethink how you use AI in your business or how you stay connected with customers in a more human way, let me know what resonated with you. Just pop by techtalksnetwork.com, send me a message from there, and we will carry on this conversation. But right now, it's time for me to rest these vocal cords so I can be fit and full of loud voice for tomorrow's conversation.

[00:32:30] - [Speaker 0]
Meet me here, same time, same place tomorrow. We'll do it all again. Bye for now.