The One-Person GTM Org

00:30:21.610 –> 00:30:32.579
Julia Nimchinski: Next up the one and only Amos Bar Joseph from Swan AI. Who needs no introductions as the way he’s scaling is truly a Black Swan. Amos, how are you doing.

00:30:33.410 –> 00:30:41.579
Amos Bar Joseph: Yeah, I love the Intro Julie. I feel like a celebrity, all right right now. So a lot of a lot of pressure on the shoulders to justify it.

00:30:41.900 –> 00:30:47.290
Julia Nimchinski: I feel it, too. A lot of people just attend this event just to see you. So us.

00:30:48.170 –> 00:30:52.060
Julia Nimchinski: How are you doing? Tell us more about your method. How did you come up with it?

00:30:53.898 –> 00:31:17.480
Amos Bar Joseph: So you know, we when we started Swan, basically, we grew tired of the old unicorn growth at all costs playbook where? You raise a big, fat seed round before you get to product market fit, you get to 30 people before you get to your 1 million dollar in arr, and then you try to brute, force your way into scale. And

00:31:17.870 –> 00:31:37.630
Amos Bar Joseph: when we started, Swan, we realized that we want to reinvent the playbook of How do you scale a company? And together with this concept of AI agents, we realized that the time is now, and more importantly, the time is now for a company to start from day one with this notion of scaling with intelligence not headcount.

00:31:37.860 –> 00:31:41.860
Amos Bar Joseph: And so we set out for this mission to discover

00:31:41.900 –> 00:32:03.290
Amos Bar Joseph: how does the company look like if it starts from day one to scale with intelligence, not headcount. And how does that DNA looks like? How does that operating system looks like. And you know, we’ve been building in public in the last 4 months. And we did like an amazing journey. And we’re trying to show we’re starting to show like a proof of concept

00:32:03.290 –> 00:32:23.799
Amos Bar Joseph: of how does you know this autonomous business might look like? And I’m here to tell the audience you know how in the last 30 days I’ve added over 300 k. Arr to this autonomous business single-handedly. Well, not exactly single handedly, you know, powered by an army of AI agents. So I’m excited to dive deep.

00:32:24.210 –> 00:32:25.080
Julia Nimchinski: Let’s do it.

00:32:26.210 –> 00:32:29.252
Amos Bar Joseph: Amazing guys. So

00:32:30.340 –> 00:32:44.057
Amos Bar Joseph: for for those of you who are not familiar with Swan. And as I just mentioned, you know, we’re building an autonomous business. Basically, we’re trying to scale to 30 million dollar arr, just the 3 founders right? The mission

00:32:44.800 –> 00:32:47.429
Amos Bar Joseph: and the vision here is basically

00:32:48.010 –> 00:32:51.290
Amos Bar Joseph: getting to 10 million dollars arr per employee.

00:32:51.520 –> 00:33:16.469
Amos Bar Joseph: Okay? And that’s kind of like the north star of an autonomous business. Basically, it moves from, you know, valuation inflation. We care less about getting to 1 billion dollars valuation. What we really care about is that metric of arr per fte. Why? Because we believe that companies with high ratios of arr per employee are companies that are well positioned for the AI Revolution.

00:33:16.630 –> 00:33:22.819
Amos Bar Joseph: There are companies that are scaling, probably more with automation and intelligence rather than with headcount.

00:33:23.020 –> 00:33:24.160
Amos Bar Joseph: And

00:33:24.440 –> 00:33:35.030
Amos Bar Joseph: basically, what started as a bold bet between friends is now becoming. You know, the new method, the new way of scaling a business, and

00:33:35.030 –> 00:33:58.819
Amos Bar Joseph: I’m here to tell you all about kind of like. You know the the design principles of how you scale a business with intelligence, not headcount. But, most importantly, this is a super practical session. So I’d love to share you like screen shares of how do we use our agents internally and actually show you the gist of it. No, Fluff, no demos, no presentations. It’s more about

00:33:58.820 –> 00:34:11.339
Amos Bar Joseph: just getting a sneak peek into a real, you know, 3 person organization. a 1 person go to market team that operates as fast as a small startup, but an enterprise scale

00:34:11.648 –> 00:34:23.379
Amos Bar Joseph: and so I’m excited to to show you around. And, Julia, you can feel free to jump in if you have any. You know clarification questions or anything. You know, always love your point of view.

00:34:23.460 –> 00:34:41.720
Amos Bar Joseph: So I think that the start of everything is to understand that an autonomous business can scale with intelligence only if you build your AI agents around your humans. So I think, like the most common mistake that people do when they look at AI,

00:34:41.719 –> 00:34:58.770
Amos Bar Joseph: they’re looking on processes and how they can replace processes with AI enabled processes. And so they can say, Okay, I have like this notion of Sdr, right now that they’re doing XYZ. How can I replace that human being and perform these processes with an AI?

00:34:58.910 –> 00:35:26.830
Amos Bar Joseph: And I think that’s the biggest mistake right now that a lot of executives are doing when they’re looking at AI solutions and how to implement AI internally. And what they must understand is that the glass ceiling for replacing your workers with digital workers is very low, because this notion of getting cheaper labor for poor quality has been around for ages. Nothing new here

00:35:26.870 –> 00:35:34.420
Amos Bar Joseph: but an autonomous business seeks to discover the 100 X version of its talent stack.

00:35:34.560 –> 00:35:47.119
Amos Bar Joseph: basically. So an autonomous business looks at its own talent, looks at its own human beings and asked itself, How can we turn every human being on the team into the 100 X version of themselves?

00:35:47.490 –> 00:36:17.330
Amos Bar Joseph: And so that’s a different way to look at AI, and that basically what stems out of it is that for every AI implementation there’s a human responsible for it. For every AI agent there’s a human orchestrating that agent right? And so there will always be, potentially, maybe, until someday, the machines will replace us all, and we will just be slaves or whatever. But until that day there will always be humans operating these AI agents and responsible for them.

00:36:17.730 –> 00:36:19.040
Amos Bar Joseph: And so

00:36:19.250 –> 00:36:30.469
Amos Bar Joseph: with that design principle that is kind of like behind the entire thesis of building an autonomous business we set out to build. You know, the 1st one person

00:36:38.060 –> 00:36:39.320
Amos Bar Joseph: would look like

00:36:44.350 –> 00:36:58.779
Amos Bar Joseph: buy off the shelf Aisdrs or things like that. We realize that we need to build. And you know the human AI collaboration that is dedicated to our talent stack. In this case, me?

00:36:59.010 –> 00:37:28.599
Amos Bar Joseph: And when we took a look at Amos Bar Joseph, and how can we amplify myself with AI agents? We realized that my biggest passion basically is storytelling is writing content. Okay, that’s me. And that’s something that you know rises me above the noise and can separate me from the others. Basically. And so what we realized pretty soon is that we’re going to build this entire army around that

00:37:28.810 –> 00:37:48.790
Amos Bar Joseph: passion of mine. And so I write on Linkedin posts. And I. You know, I share building in public how we are building this autonomous business. We realize that’s getting some traction. And so we start building these agents around that Linkedin content motion. And so the core theme of this

00:37:48.880 –> 00:38:12.950
Amos Bar Joseph: session basically will be to understand which agents did we build around? That one person go to market organization? And how do we design them? And we’re gonna take a look at actually, how do they work? And how do I work with them in my day to day. Right? So it’s not a demo of a specific tool, but rather a demo of an autonomous business, basically.

00:38:13.060 –> 00:38:18.170
Amos Bar Joseph: and an autonomous Gtm organization, basically. And

00:38:18.560 –> 00:38:27.080
Amos Bar Joseph: when we look at it before we dive deep into these exact agents and take a look at them, let’s try to understand how we’re going to walk through them together.

00:38:27.290 –> 00:38:47.850
Amos Bar Joseph: It all starts with kind of like a funnel motion. So the way that we approached it is like, you know a funnel of of, you know, a customer journey, basically. And it all starts through the passion through the Linkedin part of it. And so the 1st agent starts at, you know, writing the content. We’re going to discuss that.

00:38:47.850 –> 00:38:57.520
Amos Bar Joseph: But it goes all the way down, you know, from writing the content to leads that are visiting the website to inbound all the way to Demos.

00:38:57.520 –> 00:39:24.689
Amos Bar Joseph: etc. So we’re going to walk through this funnel together, and we’re going to understand how it works, and how does one person, Gtm. Or can get to 300 krr, you know, 2 million dollars in pipeline all by itself, without any, you know, paid marketing budget without any Sdrs supporting me without even a known brand that can, you know, tap into. And so

00:39:24.940 –> 00:39:37.309
Amos Bar Joseph: it starts at the top of the funnel with Shakespeare. Okay? And Shakespeare is kind of like, you know, the the agent that starts the entire motion and gets the wheels rolling. So

00:39:37.460 –> 00:39:53.100
Amos Bar Joseph: Shakespeare helps me write content on Linkedin that generates consistently over 1.5 million impressions each month, basically. And the way that Shakespeare works is that it’s based on collaboration.

00:39:53.100 –> 00:40:04.999
Amos Bar Joseph: Right? It’s not something that it could help me write more posts with less effort. It’s not an agent that, you know, writes posts for me. It’s about that collaborative

00:40:05.000 –> 00:40:29.839
Amos Bar Joseph: motion where I throw my thoughts on Shakespeare. And then Shakespeare pings me back with, okay, this is how I think we should approach it. This is the arc, etc. And we work it step by step together, kind of like as a thought partner to generate these posts that are consistent, and Shakespeare is trained on my voice. It has access to all of the posts that I’ve already written down.

00:40:29.840 –> 00:40:43.649
Amos Bar Joseph: and it has access to our content. Pillars. And what does it mean to build an autonomous business, etc. And it has all that context when it’s kind of like advising me plus it can go online and perform research and help me. You know.

00:40:43.650 –> 00:41:00.449
Amos Bar Joseph: curate insights on writing these posts, etc, right? So that’s that’s the top of the funnel. But I would like to show you you know, more interesting agents, and take a look kind of sneak, peek into how they operate. So if we go one step below that.

00:41:01.330 –> 00:41:20.849
Amos Bar Joseph: I have 15,000 people engaging with my posts every month, and that’s like a gold mine right on Linkedin, of people who are showing intent, interacting with specific content pieces that we want to leverage. And so we have the observer, basically, which is an AI agent, that monitors my Linkedin posts

00:41:20.990 –> 00:41:41.290
Amos Bar Joseph: and basically surface up high intent leads that are interacting with that right? Everything flows into slack. So I don’t need to change my workflow. And I get all the context I need. So I know exactly which person should I reach out to, and how? And Julia, can the audience see my screen right now?

00:41:41.710 –> 00:41:42.670
Julia Nimchinski: Not yet.

00:41:43.020 –> 00:41:45.679
Amos Bar Joseph: Not yet. So. How about now?

00:41:45.680 –> 00:41:46.310
Julia Nimchinski: Yep.

00:41:47.130 –> 00:41:48.040
Amos Bar Joseph: Amazing.

00:41:48.060 –> 00:41:58.540
Amos Bar Joseph: perfect. So what you’re looking at is the Amos Linkedin Engagement Channel, which I have a bunch of kind of like agents who are pushing here relevant updates about hot leads.

00:41:58.540 –> 00:42:19.630
Amos Bar Joseph: And as I’ve just mentioned, I have 15 K reactions and comments on Linkedin. That’s a lot of noise, and I cannot do it, and a human being could not do it. So it’s not about hiring someone or replacing someone with an AI agent. It’s just building an AI agent that can monitor

00:42:19.630 –> 00:42:44.479
Amos Bar Joseph: these posts and surface hot Icp leads who are interacting with it. So we have, you know, the post reviewer here who said, I’m done reviewing that specific post where I talked to 3 series, a founders. It found 14 new interactions because it’s always updating. And every time there’s in a cadence. It will kind of like, read the following new interactions, and we’ll filter it out and say, Okay, 2 were relevant out of these

00:42:44.480 –> 00:43:13.269
Amos Bar Joseph: 14 interactions. And I can go into these interactions, basically. And I say, Okay, first, st interaction by Catrick is the founder of Gtm advisor. Expedite. Gtm, the agent will tell me that they’re a b 2 b Gtm leader, which suggests that they are involved in companies where they’re go to market strategies, etc. So they fit into our Icp description, which is basically, you know, fractional cros who are looking to

00:43:13.270 –> 00:43:43.160
Amos Bar Joseph: amplify swan voice and share it with their own customers. But it doesn’t stop there. It will highlight the comment because it realized that this is an interesting comment. If it wasn’t a comment with any meat with it, it won’t surface it. But it says here that you know the entire comment here was really profound and was responsive to what I said. But then it goes another step further, and it actually highlights 5 comments on other posts by that person

00:43:43.260 –> 00:43:53.340
Amos Bar Joseph: that might be relevant to what we do. And so you know, I see that, he commented on. You know AI’s role in b 2 b marketing experiment. And

00:43:53.650 –> 00:44:20.159
Amos Bar Joseph: I can see that Abm’s limitations and marketing strategy. And so I know that these topics are relevant to that specific person. So I can connect, you know, Swan’s value proposition to B, 2 B marketing and experimentation. And abm specifically. So I can actually talk about experiments and abm in the context of AI, just from looking at this section. So it takes me

00:44:20.160 –> 00:44:34.770
Amos Bar Joseph: 30 seconds to understand that this is a hot lead that is showing genuine intent, and I know the exact angle on how to reach out to. So I can create immediate rapport and connect the value proposition of Swan in the perfect way.

00:44:34.800 –> 00:44:54.770
Amos Bar Joseph: And it doesn’t stop here. I have, you know, a bunch of other agents who are amplifying my Linkedin activity. So I get over 300 connection requests each day. That’s a lot of traffic to go through, and I cannot do that. So I have the invite reviewer here who goes over my connection? Requests, found all the relevant

00:44:54.770 –> 00:45:08.130
Amos Bar Joseph: connection requests that are like Icp leads who are trying to connect with me. Right? So we can look at it kind of like one step lower in the funnel. These are leads who are actually wanting to connect with me and have a conversation, but they didn’t send anything.

00:45:08.130 –> 00:45:14.810
Amos Bar Joseph: So the agent goes over that and says, Look, I accepted these 24 insights, but I sent 6

00:45:14.810 –> 00:45:43.860
Amos Bar Joseph: Dms to the Icp leads, basically. And I can go over them here and understand why that agent made that rationalization, etc. And I can. I only need to enter the conversation whenever there’s a reply, so I don’t waste time here on connection invites that won’t reply, etc. I only spend my time on the invites that want, you know, to reply, that wants to have that conversation.

00:45:44.270 –> 00:45:45.440
Amos Bar Joseph: And so

00:45:45.760 –> 00:45:52.589
Amos Bar Joseph: I’ll pause here for a second, because there are a couple of, you know, principles here that is super important to understand guys. So

00:45:53.050 –> 00:46:02.219
Amos Bar Joseph: 1st of all, you know, the work of Shakespeare or the work of the Observer or the connector are not, you know.

00:46:02.340 –> 00:46:07.119
Amos Bar Joseph: processes that were designed by a human being before that, and we replaced them.

00:46:07.570 –> 00:46:32.879
Amos Bar Joseph: You can only understand and discover these processes. If you were asked yourself, how can we amplify aims? Right? And it was a discovery process, each layer that we engaged with unveiled a challenge that we needed to solve that challenge showed us a pattern. And that pattern resulted in an agent, basically. So it started with a bottleneck

00:46:32.880 –> 00:46:50.389
Amos Bar Joseph: in writing the posts. And then it led to a bottleneck in having all these activities on the post themselves, and then it led to another bottleneck in getting all these invites. And so what led us was, how can you know we can turn Amos into that 100 X

00:46:50.390 –> 00:46:58.760
Amos Bar Joseph: version. And that is an amazing example. Another design principle that we have here is that agents come to you. You don’t go to them.

00:46:58.920 –> 00:47:22.279
Amos Bar Joseph: Okay? And so everything happens in slack. This is our core operating system. And you know, we usually, you know, we work with a lot of go to market leaders who like to have everything in salesforce first, st and they want to get all their reps go to salesforce, and everything, you know maintains in the same processes that you have today. But you need to understand that whether it’s in slack or not. You need to under. You need to have that

00:47:22.794 –> 00:47:33.910
Amos Bar Joseph: you know, transformation mentality to be able to transform how your existing processes looks like because agents.

00:47:34.000 –> 00:47:47.020
Amos Bar Joseph: they disrupt the entire workflow. And you need to understand, you need to be willing to change how your reps are interacting with software basically. And what we realize is that because agents can be proactive.

00:47:47.020 –> 00:48:05.560
Amos Bar Joseph: then it’s more about having them concentrated in this notification layer, basically. And so slack is really good for having a conversational interface which is important for agents, and we’re going to show why, but also a conversational interface that is focused on notification where you are reactive.

00:48:05.670 –> 00:48:30.220
Amos Bar Joseph: And when you look at salesforce, for example, you’re not reactive in salesforce. You need to be proactive. You need to dig deep into the tables, and and you know the profiles of the companies, etc. And it’s not built for just, you know, the reps sitting and getting the you know all the focusing the attention on only what matters. And so that’s why we chose slack for that. And I’m not saying necessarily that you need to choose slack

00:48:30.220 –> 00:48:40.159
Amos Bar Joseph: as kind of like that engagement layer. But you need to understand that agents change the entire dynamics with your reps from being proactive

00:48:40.160 –> 00:48:47.340
Amos Bar Joseph: to being reactive, and that is the opportunity that you can take with when you’re leveraging agentic workflows. And

00:48:47.650 –> 00:48:56.149
Amos Bar Joseph: I’d love to, you know. Go down in the funnel and show you a little bit more. AI agents here, Julia, you have a question before that.

00:48:56.150 –> 00:49:11.199
Julia Nimchinski: Yeah, we have already, like you made the sale we have a lot of. I’m receiving messages here. So Louise is saying, this platform is far better than Linkedin Sales navigator. What’s the pricing for monthly and yearly subscription cheers.

00:49:13.190 –> 00:49:13.940
Amos Bar Joseph: So

00:49:14.880 –> 00:49:44.259
Amos Bar Joseph: pricing is usage based. And we we start small. So like the minimum package for us is $150 per month, and it’s based on volume and I encourage you guys to Dmv, to get a better understanding of exactly what could fit your specific use case. But I think there’s an important note here about I’ll connect the pricing question to an AI question. Okay, guys, because it’s an an energenic discussion.

00:49:44.260 –> 00:49:57.720
Amos Bar Joseph: So we believe that AI agents should be implemented in a crawl walk, run, adoption methodology. So it’s always about starting with a very small use case

00:49:57.820 –> 00:50:14.450
Amos Bar Joseph: that you can scope it in a very limited small team, and you can prove Roi in a very fast manner, and you start by crawling in that specific use case, then walk means that you want to prove that you can scale

00:50:14.450 –> 00:50:23.710
Amos Bar Joseph: that poc into more use cases, and you only need a poc that would prove that you can scale it, not to scale it to everything.

00:50:23.710 –> 00:50:47.490
Amos Bar Joseph: If you did that walk, and you prove that, then run is meaning. Okay, next step is full company adoption. So Swan’s pricing is really kind of like tailored to that crawl, walk, run methodology. And so that’s why it’s really could be tailored to what you’re looking for in that case, that you can start really simple, really small, get value, even like at the 1st day, or if you want, you can expand more within your company.

00:50:49.750 –> 00:50:51.800
Julia Nimchinski: Awesome going on.

00:50:53.320 –> 00:50:54.110
Amos Bar Joseph: Amazing.

00:50:54.590 –> 00:50:55.530
Amos Bar Joseph: So

00:50:56.430 –> 00:51:17.180
Amos Bar Joseph: when we look at the funnel, if we go back to the funnel analogy, and how all these AI agents are built. So we looked at Shakespeare, which is kind of like top top of the funnel, generating the content. Then we have the observer who kind of like monitors, you know the engagement with this content, and then the connector, which monitors, you know, the people who saw that content, but wanted to connect. Next up. We have the folks that

00:51:17.250 –> 00:51:27.170
Amos Bar Joseph: from the post visited our website but didn’t convert, and we don’t know who they are. And so we all know how important is 1st party intent.

00:51:27.610 –> 00:51:42.860
Amos Bar Joseph: But it’s really hard for companies to really you know, capitalize on that data because there’s so much noise in that data. And so what usually happened is that, you know, reps get flooded with

00:51:42.860 –> 00:52:00.190
Amos Bar Joseph: quote, unquote hot leads. And so it’s so hard for them to filter out, you know the noise and to signal from the noise, and so they get lost in it, and they just leave that channel, and, you know, return to the processes that they’re familiar with. But when you work with AI agents

00:52:00.340 –> 00:52:28.589
Amos Bar Joseph: they can surface that needle in a haystack that you want to work on, and if we go back to the fact that you’re reactive with AI agents so they could do all the work for you. And all you need basically is to just, you know, absorb that context and make a decision to engage, not to engage. And if so, how? That takes you 40 seconds like I showed you before. And so we’re going to see another example here of

00:52:28.996 –> 00:52:46.469
Amos Bar Joseph: you know how our AI agents are able to highlight hot leads that are interacting with our website, but didn’t fill out a form didn’t request access. And we kind of like don’t know who they are without that specific solution. And so

00:52:47.210 –> 00:52:49.799
Amos Bar Joseph: basically, Julie, can you see my screen

00:52:50.740 –> 00:53:20.470
Amos Bar Joseph: awesome. So we have the Swan website, visitors channel. It’s all in slack. And Swan is able to de-anonymize your traffic. It is connected to amazing website, de-anonymization providers. So it can do person level deanonymization or company level deanonymization, etc. So here we have Jessica, which is a customer of ours today. But back then she wasn’t. She was just a visitor

00:53:20.470 –> 00:53:45.459
Amos Bar Joseph: in the website, and she was a Vp marketing and ninja cat. The agent notifies me about that specific visit, but it only notifies me about qualified visitors already. So it already did the work in the back of the scene. It researched Ninja cat, and it realized that this is a company within my Icp. But, more importantly, it fits our. You know

00:53:45.460 –> 00:54:09.460
Amos Bar Joseph: us b 2 b saas segment, which is kind of like, you know the high value segment that we have because we love working with b 2 b Saas companies specifically in the Us or in Europe. And so you know, it can make that reasoning and explain. Yeah, of course, they’re a Us based software company. That’s their firmographics, etc, because they’re a marketing analytics platform. Right? But then, you know, that’s not enough. Right? If I was a rep.

00:54:09.460 –> 00:54:23.860
Amos Bar Joseph: I needed to do much more work, and you know we’re an autonomous Gtm org. I don’t have time for anything, almost. I need everything handed to me on a silver platter, and so I can go to the thread here and see what happened with that specific lead. And so

00:54:24.100 –> 00:54:52.650
Amos Bar Joseph: I know that basically it tells me that they are qualified. They visited our pricing that their Crm. You know it’s Hubspot. It did all that research that what was their last customer facing announcement? They released their AI. You know, agency of the future survey, because we always love saying to our customers, Oh, you know what I noticed? Yeah, you released that customer facing announcement that probably drew a lot of attention to your website.

00:54:52.690 –> 00:54:58.719
Amos Bar Joseph: Are you doing anything with the leads that didn’t convert right? And so basically.

00:54:58.720 –> 00:55:17.749
Amos Bar Joseph: we can see all the research that the agent did in advance here, which is amazing. It found the relevant buying committee already. So I have, you know, the Vp marketing, which is the visitor, but I also have the Vp sales, the growth marketing manager, etc. But then it says, Hey, I need your approval, Amos. I want to engage Jessica right?

00:55:17.750 –> 00:55:42.720
Amos Bar Joseph: And because this is a hot lead, I will never let Swan engage that lead without my approval, because this is like lower in the funnel, and we love the fact that you know it, watched our our pricing, etc. So it will surface this message in slack, and will ask me, look, I want to engage it. This is the Linkedin profile that I want to engage it with. It’s actually not my Linkedin profile, by the way, that I could send messages from.

00:55:42.880 –> 00:56:07.500
Amos Bar Joseph: because our CTO. Has the highest conversion rates. So if you get a message from our CTO, it might be me in the back of the of the scene, and it says, You know, hey, Jessica? Yada! Yada, you know it’s a personalized way, personalized message. So it says that we can help you engage marketing agencies that’s their like Icp, etc. And then I could approve it, edit it or deny this message was approved

00:56:07.710 –> 00:56:14.980
Amos Bar Joseph: within slack. I didn’t need to go outside of slack to approve that message. It is sent on Linkedin.

00:56:14.980 –> 00:56:40.209
Amos Bar Joseph: I clicked on button in slack, and it is send on Linkedin, and then I will get a notification when there is a reply. So it says, Hi, Neam, I’ve heard of Swan. Yes, I would like to learn more. Do you offer a trial, and then the you know, niamh, the CTO. Will say, Vp. Marketing loves me. This is all like a real conversation, you know, from our slack channel, and I can even chat with Swan and tell it. You know what, Swan.

00:56:40.510 –> 00:56:54.899
Amos Bar Joseph: let’s change the buyer persona research question, because I noticed that the way that it did. Research wasn’t great, like I really wanted it to. And so I can fine tune the research that it does based on just that slack message.

00:56:54.900 –> 00:57:17.460
Amos Bar Joseph: And so that is why it’s important to have a conversational interface, because I can interact with these agents. I can talk with them, and I can tell them to change our Icp or to change how they do research, or to change the messaging, or to learn more about a customer. All these interactions could be performed out of this basically slack instance and

00:57:17.775 –> 00:57:41.779
Amos Bar Joseph: you know, Julia, I wish we had more time, and you know I would love to show you more agents that we have here within that slack channel we didn’t see due to the lack of time, like the most promising agents that we actually have. So maybe for the next session you’re gonna see? Kind of like the hottest, most revenue yielding agents that are not visible yet here. So just to give a taste

00:57:41.870 –> 00:57:50.460
Amos Bar Joseph: before we wrap it up. I’d love to finish kind of like with you know. Kind of like a message here to the audience, Julia, do we have like a 1 more minute.

00:57:50.460 –> 00:57:51.540
Julia Nimchinski: For sure. Yeah.

00:57:52.770 –> 00:57:57.530
Amos Bar Joseph: Amazing. So to build this AI agent army.

00:57:58.280 –> 00:58:19.979
Amos Bar Joseph: you don’t need any AI proficiency. You don’t need to understand AI at all. And I think that’s the most, you know. Biggest misconception in AI. Right now that you need to be an AI genius to build an army of AI agents to become an autonomous Gtm organization. It’s not about that. It’s basically about

00:58:20.430 –> 00:58:25.840
Amos Bar Joseph: developing a muscle of, you know, building in low, no code automation tools.

00:58:25.900 –> 00:58:55.859
Amos Bar Joseph: And it’s about experimenting and taking every step, just pushing yourselves into it, diving deep into the deep waters. It’s not rocket science. All you need to do is have these, you know, automation muscle within your company to be able to automate processes and have a talent that is dedicated to that. And that’s it. Basically just push them and let them experiment. Let them iterate, and they will be, you know, an AI players in less than a couple of months. Basically.

00:58:57.580 –> 00:59:06.729
Julia Nimchinski: Thank you so much, Amos. A lot of people actually ask the question that you just address. Everybody’s thinking that you have to be extremely technical to build this, and

00:59:06.850 –> 00:59:08.610
Julia Nimchinski: they’re expecting you to

00:59:08.740 –> 00:59:18.920
Julia Nimchinski: actually show how and some questions are coming in about Gdpr and in-mail credits. If you can address that. Lastly, and

00:59:19.370 –> 00:59:19.870
Julia Nimchinski: and yeah.

00:59:19.870 –> 00:59:46.479
Amos Bar Joseph: Yeah, so of course. So swan is Gdpr, compliant. We only do person level the anonymization for us visitors whenever it’s outside of the Us. And mainly kind of like in Europe. We only do company level identifications. But then we have the agent. That kind of like just does all the work, finds the buying committee exactly who to reach out the research, the personalization, and serves everything on a silver platter, whether in your Crm or in slack.

00:59:46.480 –> 00:59:50.680
Amos Bar Joseph: It helps you engage on Linkedin and regarding emails.

00:59:50.680 –> 01:00:16.170
Amos Bar Joseph: So, we don’t require a sales nav account actually to use Swan. So we want to encourage the entire company to connect their Linkedin account. So you can play these games of reaching out from your CTO. Reaching out from your customer support reaching out from your CEO or whatever you can play these games. You don’t need a sales nav account, basically to use Swan. We can send a connection request, and then, like a DM. etc.

01:00:17.100 –> 01:00:17.950
Julia Nimchinski: Awesome.

01:00:18.300 –> 01:00:25.500
Julia Nimchinski: Unfortunately, I have to wrap this up. What an amazing session we have to do! A sequel! Questions keep coming lots of questions about your

01:00:25.790 –> 01:00:37.470
Julia Nimchinski: possible partnership with Linkedin, etc, etc. And I guess just the last one. What’s the best next step? How how do people get involved with you, with Swan.

01:00:38.660 –> 01:00:58.449
Amos Bar Joseph: Yeah. So 1st of all, you’re welcome to DM, me on Linkedin, you know, Amos Bar Joseph, and promise to answer each and every one, although I get that 300 connection requests each day I go over everything. Either me or my AI agents doesn’t matter. We’re kind of like symbiotic, and if not, you can go to getswan.com

01:00:58.852 –> 01:01:18.619
Amos Bar Joseph: and request access to our platform. It’s on a request access basis. And finally, I have a newsletter guys, if you want to sneak peek into the behind the scenes and get these insights into your mailbox like every week, basically just look for the big shift, Newsletter, and be hive, or just DM me.