April 26, 2026

#593 AI Agents Are Becoming the Workforce for Events | Ritesh Patel, CEO & Co-Founder, Ticket Fairy

#593 AI Agents Are Becoming the Workforce for Events | Ritesh Patel, CEO & Co-Founder, Ticket Fairy
Apple Podcasts podcast player badge
Spotify podcast player badge
Amazon Music podcast player badge
Castro podcast player badge
Overcast podcast player badge
YouTube podcast player badge
Anghami podcast player badge
PocketCasts podcast player badge
RadioPublic podcast player badge
RSS Feed podcast player badge
Youtube Music podcast player badge
Audacy podcast player badge
Goodpods podcast player badge
PlayerFM podcast player badge
Apple Podcasts podcast player iconSpotify podcast player iconAmazon Music podcast player iconCastro podcast player iconOvercast podcast player iconYouTube podcast player iconAnghami podcast player iconPocketCasts podcast player iconRadioPublic podcast player iconRSS Feed podcast player iconYoutube Music podcast player iconAudacy podcast player iconGoodpods podcast player iconPlayerFM podcast player icon

In this episode of The CTO Show with Mehmet, Mehmet sits down with Ritesh Patel, CEO and Co-Founder of Ticket Fairy. He has built a full-stack operating system for the global events industry, spanning ticketing, payments, marketing, and AI.

The conversation reframes event technology as an infrastructure problem, not a commerce problem. Ticketing looks simple on the surface, but hides deep system complexity, fragile scaling layers, and continuous engineering trade-offs. AI is not simplifying this stack. It is expanding both capability and risk, especially in fraud, automation, and operational control.

If you are building or investing in AI infrastructure, marketplaces, or vertical SaaS, this conversation sharpens how complexity, defensibility, and automation actually play out in production systems.

About the Guest

Ritesh Patel is the CEO and Co-Founder of Ticket Fairy, a platform that provides a full operating system for the independent events industry, including ticketing, CRM, marketing technology, fintech, and AI.

He has spent more than a decade producing over 500 events and building systems that address the operational and financial constraints of the industry.

His perspective comes from running both sides of the system, event production and infrastructure, which shapes how he approaches automation, fraud, and scalability.

LinkedIn: https://www.linkedin.com/in/riteshdpatel/

Key Takeaways

  • Ticketing systems look simple, but operate as highly complex distributed infrastructure.
  • AI agents make fraud more effective by mimicking real user behavior at scale.
  • Event platforms require continuous engineering cycles, often running close to 24 hours a day.
  • Defensibility in event tech comes from relationships and capital layers, not software features.
  • Most events are not profitable for years, mirroring early-stage startup dynamics.
  • Centralized systems can solve fraud problems more effectively than blockchain approaches.
  • Real-time data at micro-level granularity drives marketing and conversion performance.
  • Vertical SaaS fails when it tries to serve everyone instead of owning a specific segment.

What You Will Learn

  • The hidden system complexity behind seemingly simple ticketing platforms
  • How AI agents bypass traditional bot detection and fraud controls
  • Why feature flags and modular architecture are critical in vertical SaaS
  • The economics of event businesses and why profitability is delayed
  • How real-time behavioral data improves conversion and marketing outcomes
  • Why blockchain fails to solve most real-world ticketing problems
  • The role of AI agents as operational workforce in resource-constrained industries

Episode Highlights

00:00 — Why simple products hide extreme system complexity

03:00 — Event infrastructure complexity most people underestimate

05:30 — AI agents make fraud harder to detect

08:30 — Trust layer challenges in event platforms

11:00 — How to architect systems that survive demand spikes

13:00 — Real-time data as a competitive advantage

15:00 — Why most events fail financially early

17:00 — Pricing models shift cost to the consumer

19:00 — Defensibility comes from relationships not software

27:00 — AI agents as workforce for event operations

Resources Mentioned

  • Redis: In-memory data store used for session management
  • WordPress: Website framework mentioned in comparison
  • Blockchain and NFT communities: Used for token-gated access use cases

Listen Now

Available on all major podcast platforms and YouTube

Connect with the Show

Follow The CTO Show with Mehmet for more conversations at the intersection of technology, startups, and venture capital

 

Mehmet: [00:00:00] Hello and welcome back to the episode of the CTO Show With Mehmet today. I'm very pleased joining me from the US Ritesh Patel. He's the CEO and co-founder of Ticket Fairy. Um, I don't like to steal much of my guests time. I keep them, you know, for themselves to introduce. Of course, we're gonna talk about like.

Ticketing as you can imagine. But, uh, Esh is, uh, an entrepreneur and, um, you know, a lot of experience. And for my audience here in the Middle East, he's familiar also with the market here also as well. So, again, without further ado, Esh, thank you very much for being here with me today. Tell us a bit more about you, your background, your journey, and what you're currently up to, and then we can start the discussion from there.

So the nice, 

Ritesh: nice to be here, Mehmet. Um, I guess the best way to describe Ticket Fairy, um. Is not just ticketing. We, we built a full, um, full operating system for the independent events industry. So it's everything from the ticketing to safe resale to A [00:01:00] CRM, to marketing tech, um, to event, well originally kind of operational elements of events.

But we've just extended that really broadly with, um. With a full AI stack and, um, and also embedded FinTech. So, uh, we evolve almost every week when it comes to the technology. 

Mehmet: Great Ritesh, like you've built both sides, event production and uh, building the tech. So what did you understand about the problem that, um, you know, pushed you like, like many other founders to start, uh, building in that space?

Ritesh: Um, so I've been building products. Since I was a kid. But the, um, the event production side kind of grabbed me when I first got to, to college. Um, and I started running events, um, mainly just because it was, it was interesting, but ended up building [00:02:00] a, a pretty well-known events brand and doing everything from like the talent booking to the marketing to kind of like brand ethos to just.

Like the venue production and, and everything in between. So, um, like when you, when, when you've done that for a while, like I did like 10 years of more than 10 years of events and produced about 500 individual events, um, you kind of learn that it's a really painful industry, that technology is very unsophisticated, um, revenue's unreliable, and um, you are kind of.

You know, you can't, you can't predict what will happen on the night. And so, um, it's just a very tough industry and, and when I started working in ad tech, uh, it kind of became apparent that you could build sophisticated online marketing tools to help drive revenue. So that's, that's why we started the company.

Mehmet: Great. Now, if we want to kind of, um, you know, tear [00:03:00] down, you know, and go more deep into the. Uh, because you said, yeah, it's, it's, it's not just, you know, the ticketing part, but, you know, things on the surface sometime looks, you know, simple. But there are like actually a lot of complexity, complexities in the back, uh, in the background.

So what are like these complexities that most people underestimate in that space? 

Ritesh: I mean, so I'll give you an example of, this is actually really funny. Someone, um, I had a call with recently. Uh. They knew that, that we were speaking and so they went to the website and um, on the call they were like, oh, it looks like you built your web, your, your website in WordPress.

And I was like, yeah, everything looks really simple, but we actually run engineering 20 hours a day and have done for years and years and years, and basically. You, I mean, I guess it's like the first time Google launched and, and it was like, oh, it's a white page with a simple textbook. How complex can that be [00:04:00] until you realize that like they were scraping the entire web and building these like really complex, um, algorithms to get the results, right?

Mm-hmm. And so like with us, it's, um, it's a lot of complexity hidden away because every event, every event's business, um, each sector of events is completely different. And so, and every. Uh, every business has a different way of structuring their workflows, their pricing, their, their logic. And so we learned over time that, um, like you can't do custom custom dev for every single client.

So we basically had to build the, the platform so that it was just a entire series of feature flags and switches that you could just turn it on, on and off, or. Give parameters to for each client. So you kind of, you build, even when you're doing custom build for clients, you know, you hide it behind a feature flag, you refine it, then it becomes generally available for everyone else.

Um, so the entire platform is basically like a thousand different [00:05:00] feature flags and then, um, global payment gateway gateway into, into integrations, multicurrency. Time zone conversion for all reporting per, per event location. Um, it's super, super complex. 

Mehmet: Right. Let's talk also about some of the challenges.

So we know scaling and fraud have existed for decades and, uh, you know, your industry wasn't like other industry safe from, you know, uh, people trying to. You know, get, get things the bad way, let's call it, uh, uh, in these terms. Now, what changed recently that makes AI actually effective against fighting against, like scaping and, and fraud, in your opinion?

Ritesh: So, I mean, when, with, when we tried to fix the kind of resale issues in the, in the industry, we did it. And what I think is quite an obvious way, but maybe other people don't think [00:06:00] it's obvious, which is basically, um, insist on names on every ticket and then have the event organizer validate those names at the entrance.

Um, and then if you wanted to transfer ownership of, you know, even like individual tickets within an order, we built this, um. Peer to peer resale system where you could just go into the order and say, Hey, I wanna sell my, my ticket to to meme. And um, and then you would get an invitation with a secure buy link.

You'd go to the website, put your credit card information in, pay the, uh, pay the amount for the ticket, and I'm not allowed to, to make a profit. So you have to, I only get back what I paid. And so you pay that. You would then pay that on the site. And then once your payment's confirmed. Email saying My ticket's being sold, my card's been refunded, my QR code's been canceled, and you have a fresh one that I can't use anymore.

And we've not actually directly transferred money between each other. It is just that you've paid, you've paid the system, I've got a refund, it nets out to zero. And, [00:07:00] um, it's super safe. So we launched that in 2014, really, really early. And um, and then when it comes to like the AI side of things, um. I actually think AI makes resale fraud more enabled because now you've got brows, you've got like agents that can browse ticket insights without being detected.

Like, you know, the, the standard bot detection techniques don't work on AI agents that can browse using like residential ips and actually open up a real browser and they're not like, you know, using, um. The, uh, standard like APIs to like navigate a page. They can pretend to move the mouse around. They can like, have variation.

Every, every single browsing session can be unique and you can't detect that. So it actually makes it worse. 

Mehmet: Oh yeah. You know, with the agents we are seeing popping up every day, this is, uh, [00:08:00] a real challenge because they. Can act as humans because they're using your sessions, they're using your browser.

It's not like they're trying to do things that looks automatic, I would say. So it's a challenge. Now you mentioned in the introduction, like you are building a complete suite platform for the event industry, right? Yeah. So it's not just the buying the ticket, it's include the payment gateways, it includes, you know, everything lit, the CRM and so on now.

How much this is important from both a technical and business, you know, point of view to establish the trust layer. Because, you know, speaking with a lot of people who, you know, at least here in Dubai, you know, we, we hear about people that sometime they see something and they don't trust to go and buy or for example, um, events that, you know.

So the organizers, they, they, they are like well known, but actually sometime it looks so true [00:09:00] to, so good to be true and, and so on. So how much is important, you know, to have this complete end-to-end trust when we talk about, you know, um, operating live events from a technology perspective. 

Ritesh: Um, so I mean, I guess like.

For us, we remain, we we're, we're fairly trusted because the, we're not like one plat pla one out of many platforms that an event is selling on. Typically, we tend to be the only one that an event is sold on, and so the event organizer is driving the traffic to us or the venue is, or something like that.

So that typically, um, there's a level of. I guess pre-approval already when it comes to the brand. And then obviously like, you know, if someone doesn't quite know, understand, like, you know, they've never used the site before, they can go to the homepage, they can see which other events are on sale. So we're generally okay when it comes to consumer trust.

Mm-hmm. Um, obviously like with business [00:10:00] trust, like, you know, there's a level of like, you know, are you gonna crash before if my big event goes on sale? Um, do you have the, like, stability of a, of, you know, someone who is. Bigger and more and more established and like that takes a long time because you know, when you're building any tech, you know, you think you've solved everything.

You think that like. You've architected it in, in the correct way, but then you realize that there's like 10 different bottlenecks, and you're gonna have to discover those painfully one by one. As you solve one bottleneck, you get the next one. You know, you've, you've realized that like, you know, a recent feature missed out a database index and then that crashed the site because people were refreshing the page 10 times, um, when they're trying to buy a ticket or like, you know, like.

It, it, it's, it's one of those ones where also like the weakest link in the chain often is the problem, right? So it's like, did you size up your Redis cluster correctly? And that's the one that stores all the sessions. And if you didn't, then you have a problem because no one can stay logged in, or the [00:11:00] page is time out 

Mehmet: on that point of day.

Of course, without, without going into the nitty gritty and talking about the tech a lot. But how do you architect, you know, the systems, you know, so it doesn't break down under sudden demands. 

Ritesh: Um, I mean, every component has to have both scalability and redundancy. So, um, you know, we run everything in a way where like there can be failover if one component goes down.

Um, anything you can make, asynchronous goes into job queues. So if it doesn't need to happen right this second, it goes into a job, into one of like 20 different job queues where it things can get processed over time, you know? With a, like a, a cap, you know, this queue only has three different workers processing those jobs and the rest can just, um, can happen whenever, uh, order confirmations can be asynchronous, if like log storage can be asynchronous, right?

As long as the logs maintain the original timestamp. [00:12:00] It doesn't matter when they get processed, as long as they get processed. So we, we did a lot of stuff on that side to make things, um, as asynchronous as possible. And as like scalable horizontally and vertically as possible as well. 

Mehmet: Now speaking about, you know, logs and, you know, monitoring, I imagine there's a lot of real time data that is flowing over there and.

Probably, and because we're talking also about ai, this data must have a use and just more than a dashboard for the event organizers. Like what kind of use cases we can utilize or event organizers, they can, you know, benefit from real time data, which is, you know, it's flowing into the system real time. 

Ritesh: Um, I mean, I think that like, um, we, we do.

Things that are like way over the top. So like when the event organizer is in our dashboard, like they [00:13:00] see in real time, everything that's in shopping carts at the micro, at the kind of second granular level, right? Like they go on set, they go on sale, on people are adding to carts and before they've even entered a single piece of information, any, all the inventory that's locked kind of spins up into, into real time analytics all plotted on, on a map where like, you know, usually that's, that is not.

Normal, but we take stuff out of the inventory, locking and reuse the data for analytics, and we take a lot of like raw browser data and reuse it for analytics. And, um, the, and, and you can also see like conversions happening in real time and, um. Pixel data going to different ad networks. And, and the thing is, is like that, that kind of information, especially if you can replay it at a later date, becomes really useful for analyzing, like was our, our announcement strategy.

Correct. Which landing pages converted? You know, we're the, we're the only events platform that. Um, that I know of mm-hmm. That lets you make multiple landing [00:14:00] pages for the same event. So there are multiple ticket pages for the same event. So you can ab test traffic or send different audience segments. And so, you know, like there's, there's some really interesting stuff you can do when you don't discard any, anything that's like you would normally think, okay, why do I need to store browser signatures?

But now you can actually tell the, the client, well, this many people are buying inside the Instagram embedded browser and. It gives them an idea of like, you know, where their traffic is converting best as well. Not just like, um, not just simple tracking parameters, but it's like, well actually someone is looking at this inside a private message or an ad or something like that.

Right. 

Mehmet: Better insights indeed, of course. Now let's talk a little bit about the business model, uh, tsh. And you know, I know like you've processed more than 300 million uh, dollars in ticket sales. What pattern do you see in what makes events profitable versus those that might not perform Well, I would say, 

Ritesh: I mean, I think that the, the general [00:15:00] trend is that most events are not profitable for the first.

3, 4, 5 years. Especially if it's like say a festival or something like that. Um, and that really is just like there's a trust level that comes from building an events brand, and it's just inherent in the, it's just the nature of the industry. Like you have to invest a lot into building a trusted, trusted events brand.

Um, and it's not that different building a, a tech startup. And so, um. Coachella, for example, wasn't profitable for the first eight, eight years, and now it makes hundreds of millions of dollars. So the, the key thing is, um, I guess like knowing your audience, knowing that what you know, that your product is.

You know, you've got product market fit in terms of your events. It's very similar concepts to running a tech company. Um, but what you can do and which is what [00:16:00] we've tried to provide in the platform, is like. Best practices for marketing, best practices for, you know, conversion tracking and all this kind of stuff that like, you know, use, we, we kind of try to encode the best practices for the industry into the tech because when you start running events, you're doing as a creative, you're not born with that knowledge and usually you learn on the fly and you probably waste a lot of money doing that.

Mm-hmm. So if we can pro encode the best practices into the platform and provide marketing automation that really helps. 

Mehmet: It is interesting because you mentioned about, you know, the similarity. I mean, how it's not similar actually to to tech companies, you know, and, uh, but from pricing model perspective, we know that, you know, this space have a lot of cutouts, right?

So, you know, there's a lot of, of layers in in between. So how do you think about pricing in, in this space where margins are tight and with multiple intermediaries? I would say. [00:17:00] 

Ritesh: Um, typically an events company doesn't have budgets for SaaS subscriptions typically. Mm-hmm. At least not expensive ones. So with ticketing, usually what happens is that the fee for the platform is paid for by the buyer of the ticket, not by the event organizer.

Mehmet: Okay. 

Ritesh: So they use the software essentially for free, and then all of the monetization. Monetization is actually on the consumer side. Um, because rather than saying to an event organizer, you know, pay $20,000 a year or $50,000 a year for this very, you know, complex tech stack, normally an enterprise customer would be able to pay that, but events cannot.

Um, so what you then do is you say, okay, well, you know, if each ticket buyer pays $3, $5, $10, and that's spread out across all of them, then for everyone it's kind of like, you know, reasonable. But for the event organizer, they, they haven't had to, to spend that money. 

Mehmet: Speaking about, [00:18:00] you know, the end user that the, the.

Normal person who gonna buy this ticket? Let's say it's me. So who owns the relationship here, Ritesh, in, in, in this space? Is it like you as the platform? Is it the organizer or the artist that I'm going to attend? His, uh, 

Ritesh: uh, it's us and the organizer. So yeah, we, we also kind of handle incoming customer service.

You know, where the, where the, where the portal, where the, the ticket buyer's gonna go and manage their orders. They're gonna resell them. They wanna do upgrades. Um. So we, we do have a very heavy B2C side of the, of the, of the business. And so like we also like push out, like editorial content, event discovery, um, industry news culture and lifestyle news.

And like, we try to be like consumer facing as well. Mm-hmm. And so like, yeah, it's, it's interesting because like also it's very different from like a consumer app where like you might have to spend a lot of money marketing to get app in stores, whereas with [00:19:00] us, like, you know, the client is sending the traffic and then we get a user and it's, it's quite nice.

Mehmet: Yeah. Yeah. Speaking of this. Do you think like this is by itself becomes the defensibility? Because you know, when I speak with a lot of founders today, you know, we know in the age of AI building, I'm not saying it's easy, but it's becoming easier and maybe cheaper. So what will differentiate sometimes is this relationship that you have established it with your.

Customers, whether they are like the, the consumers or the businesses. 

Ritesh: Mm. 

Mehmet: Um, so are, are you seeing like the same trend in your industry, Tesh, where, you know, the, you know, like the ticketing itself is a commodity, but you know, the, the defensible part of the business is the relationship. Are you seeing that, that direction?

Ritesh: Yeah, I would say that it's more, more like that on the event organizer side. Mm-hmm. Um, network is very important. Um, we have a lot of, uh. Very well connected channel partners that, [00:20:00] um, introduce us to clients. Um, the other thing is, uh. There's moats that you can have that are like more on the business side.

So like for example, we, um, we just announced in platform banking, which we're about to, to, to launch. And you know, that's like two years of negotiation. Wow. Because it's not hard to do that. Well, sorry. It is really hard to do that. But it's like, you know, it's like, um, and then we have, we announced at the end of last year, um, a ticket for capital product, which allows events to get upfront, um, cash on their.

Cost for booking artists based on like, you know, the previous revenue history that they have and like, you know, there's over a hundred million dollars available. There's that resource and that takes time to negotiate. So, you know, there are business moats you can have that mean that a a not codeable.

Mehmet: Right? We hear a lot in your space Esh about how, you know, blockchain Web3 can be a good [00:21:00] fit. Are these like realistic signals or like it's just noise in your opinion? 

Ritesh: I don't believe in, um, NFT tickets solving scalping or, um, you know, certain other things that it's been said to solve because you can do that centralized quite easily and, and you actually, if you make it decentralized, the only reason for doing that is if you are, if, if.

The tickets are gonna be listed on other websites if you have no intention of doing that. Then you don't need to do that, first of all. Uh, secondly, you lose the data on the new buyers if things are resold, peer to peer through smart contracts. And so you lose information by making it on chain and decentralized.

Um. There are ways you can use blockchain in a good way. We added, we added some layers, um, over the years that kind of more realistic use cases like, you know, token gating events where [00:22:00] you need to hold a, a certain asset to be able to attend it because it proves that you are part of a community or something like that.

So like we have that in the system where any event organizer can say, oh, you know, this event is only accessible or this. Type of ticket is only accessible to holders of, you know, these five NFT communities, for example. And you can put the smart contract addresses into the system and it will do automatic wallet checking.

So things like that blockchain makes sense for. Mm-hmm. If, if people are like, oh no, it's gonna solve scalping, I don't think that's necessary. 

Mehmet: Yeah, I, I, I like this, you know, straight to the point realities that you are giving esh, and I agree with you because very obvious, like people, sometimes they just throw the technology for the sake of, you know, looking cool without reasoning.

Is it really solving the problem that we have? 

Ritesh: Yeah. Here's a buzzword I wanna look like. I'm, I'm with it, but like, look, is it actually gonna, it's, it's, it's, it's like someone saying, oh, I'm gonna disrupt Ticketmaster by charging lower fees. And what they don't realize is that the reason Ticketmaster has those [00:23:00] clients is because they have a lot of money to acquire the venue deals.

They have those relationships they own most of the venues that they are powering. Um, they're running the concerts as well. 'cause it's a vertically integrated company. And then they're like, you know, some nerd comes in and says, I'm just gonna charge lower fees and, and they'll be done for, and they don't realize that, like they don't understand how the business works.

Mehmet: Yeah. Uh, and we see it, by the way, in a lot of other industries I've seen people like, who thought like we quote unquote smarter. Yeah, we can be smarter than these guys, like we will. Yeah. But it takes, it takes a lot and it takes years to build also this, you know, full stack I would say. Whether it's like the technology itself or as you mentioned the venue and the marketing machine that you have now, as I was telling you before, we, we hit the record button.

I have a lot of. Founders who listen to to this, and as you imagine like SaaS, although like a lot of people are out there, SaaS is dead. You know, SaaS is going, but I don't [00:24:00] think so. Maybe it's more vertical SaaS with the AI now, but what, like what would be the hard lesson? Um, they can learn from you building in this space where you are, that would surprise them that it's not like any similar SaaS story that we hear, um, in books, in blogs and, and articles.

Ritesh: Um, I think that like, at the end of the day, most software companies have been built in a, especially B2B software companies have been built with fairly similar models, right? Like. There are marketplaces, there are, um, business management tools. Like, there's so many different, like project management software stacks.

Like, you know, you have like Workday and monday.com and then Asana and Clickup and like, they're all fairly similar, right? Um. The, the key thing is like just understanding [00:25:00] your, your actual customer. Like what's the differentiator that's like, what's the 20% differentiator that, um, is gonna make you more appropriate for this specific segment of customer than, um, than, uh, you know, the competition.

Um, I think that like, it's really easy to try and do everything for everyone and, um, you end up overbuilding the tech. And I could probably say the same for us, like we've. So many things like should we not just like go narrow and sell to a specific segment, 

Mehmet: you know? Great, uh, insight, again, esh, if we want to zoom out.

And of course, no one can predict future, and I don't like this question, although I still need to ask it if we zoom out a little bit and to look at the future of live events from, you know. Tech perspective and then the technology. Um, what are like some of the trends you expect to, to, to be kind of, uh, [00:26:00] dominating in, in the, I would not say five years, but I would say in the coming 12 to 18 months from now.

Ritesh: So one thing that is generally, I guess, um, well understood in this, in, in the events industry is that the events industry is resource poor. It doesn't have the resources in needs. So, um, one thing that we. We kind of knew that from the very beginning. You know, like, events don't make enough revenue, they don't have experts in house, they don't have tech teams, so let's, let's build the tech and let's build the best practices, right?

Um, and then over time you kind of realize, okay, they don't have enough working capital, so let's build a capital product and find the solution to that. Um, and then the, the biggest thing has, has been like, you know, most of the events companies in the world bar, like a very small number, typically only have like two or three full-time people.

And everything else is like external agencies, contractors doing the event. They know there's, uh, there's events that have like, you know, a thousand people working at them, [00:27:00] but they're all contractors that have been brought in like just for the, you know, three days or five days or something like that.

Right. And so the core teams are. Learning on the go. They're generalists, they're very passionate about the experiences they're creating, but they're typically generalists. And so, um, knowing that, like we built out a custom agent stack, uh, just announced it that has like. Its own custom harness. We didn't use a, uh, an off the shelf agent framework.

Like we built that in. We built one in-house and we created multimodal agents with skills based around event production, where we can basically say to an event production company, look, we're not taking anyone's jobs. You don't have the budget to hire those extra 10 people. You can only, you've only got the budget to hire the, to have the two people or three people you already have.

So let us be your extended AI workforce, and that way you actually get to compete with the guys that are bigger than you. And so we become now an enabler for growth. [00:28:00] And like, I think that's, that's a nice approach because you're not cannibalizing. Um, real people's jobs. You're basically saying, well, you are very passionate, you are very visionary, but you don't have the budgets for the teams that the big guys do.

So let us be that, 

Mehmet: you know, like esh, when you mentioned this about the generalist and now the AI agents, I found it, I'm not sure if you would agree with me, a lot of similarities on how marketing in the B2B. Space, which I was part of, and that somehow part of it, you know, when we have a marketing person in a.

Enterprise technology. This is the space where, uh, I'm expert in. So actually, you know, the same chain that we have. So for example, organizing the events and then, you know, like doing a lot of things. So these are like people who are just controlling or let's say coordinating a lot of resources down the line.

And I see a lot of similarities with the event industry, you know, [00:29:00] because actually people they see. The end results, but there's a whole chain that's coming, uh, all the way. And I don't know, like I, I, I felt there's kind of a, not similarity in the sense that it's the same business, but I mean, the operation, uh, is quite, uh, similar, which is, I'm just ringing a bell for my colleagues who are in the enterprise tech to to, to listen to this from you because it might be something useful for them.

Uh, Esh where, where are you operational today? Like. Well, I know the answer, but just for the audience, like are you like a worldwide operation? Where, where do you 

Ritesh: Yeah, we, um, we currently are operational in, uh, north America, uh, a little bit of uk, um, Australia and New Zealand soft launches in Southeast Asia.

India as well. Um, and then we, um, we're about to officially launch in Dubai, which will be, uh, very interesting. Um, and we've had a team in Dubai and an office in Dubai for, [00:30:00] for a few years. Um, but now we're, uh, official like Dubai government licensed, which is great. 

Mehmet: Great. 

Ritesh: And so that's gonna, that's gonna be, uh, that's gonna be fun to, to launch.

Mehmet: Exactly. It'll be fun to launch and, uh, you know, I'm, I'm sure like this industry will keep booming in the coming new year, uh, coming few years from now. Esh, uh, traditional question I ask at the end of each episode, like anything else you wanted to share and where people can get in touch? 

Ritesh: Um, I mean, I think we've been pretty detailed even though we haven't.

We've compressed it into quite a short time. Um, I think that, uh, the biggest thing to say is, uh, events are a lot harder than you think. So support them by buying tickets. 

Mehmet: Yeah. 

Ritesh: Um, because it's probably a year of planning and a lot of passion and a lot of, uh, capital that goes into the, into the producing these and um, [00:31:00] and you know, like there's a big trend.

Recently to like leave ticket purchases to the last minute, or, you know, just stay at home and not go out and like that they, it really hurts the industry. Yeah. So yeah, buy early and, and support gigs. I think that's, that's, that's the thing I wanted to share. 

Mehmet: Yeah. Where, where to get in touch with it. 

Ritesh: Um, ticket Fairy.com, um, at ticket Fairy on socials.

Super, super easy. 

Mehmet: Great. Just I want to repeat what you mentioned. You know, as someone who, you know, last year I was active in attending, um, you know, entertainment events, you know, and, and seeing the, the, the tears, blood and sweat that everyone puts in there to, you know, from, from. You know, the initial phase of announcing something all the way as us to buy the tickets and so on.

So really, you know, this is, um, something worth for everyone to encourage this industry because at the day. You try to, [00:32:00] because at the end of the day, you just try to, to entertain us, um, which is, you know, I, I, I highly a appreciate it. So, uh, again, thank you Esh for, you know, being here with me today, and this is how I'm, I'm ending my episode.

By the way, the links that ESH mentioned will be in the show. If you are listening on your favorite podcasting app, you'll find them in the show notes. If you're watching this on YouTube, you'll find them on description. And this is how I add my, this is for the audience. Um, if you just discovered us, thank you for passing by.

I hope you enjoyed it. If you did, so, give me a favor. Share it with more people, like invite more people to listen to the show. Let them subscribe to it. Also, as well, if you are one of the people who keep coming again and again, thank you so much because of you since last year, I repeat the same thing. I, I know, kind of boring, but I need to thank all people.

Who make this happen, which is basically getting the podcast in the Apple top 200 chart across multiple countries. We keep changing the country's continents all the time, so this cannot happen without you. Thank you very much, and as I [00:33:00] say, always stay tuned for a new episode very soon. Thank you. Bye-bye.