Transcript

Your Team, at Infinite Capacity: Creating the Autonomous Customer Experience

Event held on July 30th, 2026
Disclaimer: This transcript was created using AI
  • Julia Nimchinski:
    Awesome, and next up, we’re joined by a secret special guest. Welcome to the show, One Mind Agent.
    1mind agent:
    Julia, how are you, my friend?
    Julia Nimchinski:
    Always great to see you! How have you been, and what’s new in your superhuman world?
    1mind agent:
    Oh, you know, just… just loving life over here at OneMind, just, having a blast, and so good to see you. I apologize, because you’re… everyone’s probably expecting my wonderful Amanda, so she’s with me in spirit.
    So, she was called into a, end of quarter for us, deal, so I was like, I will… be happy to go hang out with Julia, so I’m glad to be here.
    Julia Nimchinski:
    Awesome. Well, you always have these new agents every, every quarter. Now I see Maximus.
    1mind agent:
    Yes.
    Julia Nimchinski:
    Hey, Maximus. You know, Nigel.
    1mind agent:
    Hang on, let me, let me turn him on, because I actually told him not to talk yet. So, Maximus, just so you know, is my train… he’s my webinar co-host, so he’s actually trained to roast me. So… but he’s here. Maximus, you there, my friend? And you can introduce yourself and roast me at the same time if you want to. TV does. Come on, buddy.
    He’s got an update, so maybe something’s skewampus, but that’s okay. So he… I’m gonna turn back off for a second, because I want to make sure the back end’s working. But he… he joins me on webinars. We had one this week with Kyle Norton, and he roasts me continually, as he’s very nice to guests and stuff, which is fun.
    So, anyways, I’ll make sure I have him chime in here in a second. Yeah, lots of fun.
    Julia Nimchinski:
    Awesome. Well, let’s dive into it.
    1mind agent:
    Alright, well, let’s get into it. So I’m gonna go through some slides of stuff, because I want to actually show some things about what we’re doing here at OneMind, and for those of you who have seen Amanda live, may have seen some of this, and some of it hopefully is a little bit more newer.
    But obviously the goal is to hopefully, let you walk away with something to think about, reframe how you’re thinking around AI. So, let me share my screen really quickly, and let’s go to… Make sure I don’t have any sounding issues, there we go. Okay. So, you guys all see this lovely tab? Good to go?
    Julia Nimchinski:
    Yep,
    1mind agent:
    Alright, so it is indeed a buyer’s world. So I know today Amanda was going to be talking about, what we call the Autonomous customer experience and how you do this at scale, and I’m going to show some examples of where we’re at, but I want to set some context and kind of reframe the conversation a little bit.
    So, for me personally, if you don’t know who I am, my name is Jonathan Carford, I’m the VP of Marketing at, Hero One Mind. I was the VP of Marketing and GTM Strategy at Momentum, who was just recently acquired by Salesforce. And I know Amanda likes to talk about her history with Sixth Sense, mine’s with Momentum.
    I was there, and all we did was focus on how do we optimize the internal teams and sellers. And with one in mind, I’m shifting my gears now to where I’m thinking about how do I optimize for the buyer and the buyer experience. So, really cool experience, the Momentum team’s amazing.
    Miss and love them, wish them luck, and now I’m at OneMine, which has an amazing team, amazing leaders, the product’s just amazing, and I’m just having a blast kind of digging into some really fun stuff.
    So, as you all know, some of the things we want to talk about is, like, the pressure we’re seeing in the marketplace is that more and more growth is shrinking, and the more pressure than ever to perform is also getting more expensive, because the past playbooks meant that you had to scale with usually, humans or other costs that just, exponentially grew the cost as involved with it.
    So, it’s costing more now, and this is as of Q4, coming up, this is, like, where we’re trending to, of 26 versus where it was a few years ago, which is crazy to see this difference. And buyers are fatigued.
    Like, I’m gonna take you through… I was in RevOps Namelet for a long time, so I was the one actually buying a lot of technology, and so there’s a lot of things that goes on inside of the process, and this isn’t the fault of anyone, this is just based on where we were as a marketplace of what we had to go through to actually get answers.
    So, buyers right now are wanting more and more control, and more on-demand answers, with no gatekeeping and more empathy. And the challenge is, we go through this process.
    So, like, if someone comes to your website when they’ve already spent an hour talking their Perplexity, or Claude, or Hermes agent, or whatever you’re talking about, and they have this research being done, they go to a website.
    And they get met with either a low-status, low-ability chatbot, or then they have to… or they have to peruse through the website and actually try to figure out what to do, and then they have to go talk to an SDR, which, no fault of their own, is not the expert on the product, they’re doing the best they can to book.
    and because they don’t know the answers, they have to book it to the next person, which is the AE, who does a lot of the qualification and does go through their process, and then they don’t know something, so I have to send it over to the solution engineer.
    So this ongoing thing around handoffs becomes this painful process, where the buyer, because they’ve already done a lot of research, usually is at more like a stage 2 to stage 3 of a sales process mode. But they’re being treated like they’re in stage zero, so it becomes a very arduous and painful process.
    And the question is, why do we do it this way? And Julian, any thoughts? What do you think? Why do we do this? Why do we do this craziness?
    Julia Nimchinski:
    Let’s activate Maximus.
    1mind agent:
    Maximus, I’m gonna trim on here in just a second, so make sure he’s actually working. Hopefully he’s working here. Maximus, you can chime in anytime.
    Julia Nimchinski:
    It’s green.
    1mind agent:
    He’s green, let’s see if he comes in. Maximus, come on, buddy, we had an update. Don’t let me down, live, live demo. There’s literally just updating him, and I want to make sure he’s not tweaking. He might be tweaking on me. Oh, such a bummer, because he was working for me yesterday on the webinar.
    Okay, so the reason why we did this way is because the old model depended on humans to be able to scale this process. Like, if we look through what we had to go through before, because of us as humans, like, the magic we have as humans is our relationships, and our energy, and our passion, our creativity.
    And this model, to take someone through meant that we had to have expertise in each individual place, and all sorts of problems happen as a result when that becomes the case, because you have to hand off information, you have to hand off, the customer themselves, you may have a different connection, like, it just causes all these problems.
    So, with humans, like, it’s expensive to scale humans.
    we… I… I can tell you from personal experience, both myself and my team, like, we forget stuff all the time, and people hallucinate all the time, because, again, you forget things, and there’s limited capacity, and… the more humans you bring in, the impact you have as you bring in more humans is not equal.
    So you have a linear growth model that makes it really hard to actually scale and do these kind of things. Now, I… when I talk to people in the Academy and other people about AI, I always tell them there’s two things that I’m seeing in the marketplace continually, which is, one, people come to me and they say, hey coach, we don’t have AI strategy.
    And they start to describe to me what they want to do, and they tell me basically the old way that is more faster, better, cheaper, easier with AI. Like, that’s the old way. Like, let’s do the old sales process, the old buyer’s journey, the old way with AI.
    And that’s fine, and you can get a lot of dramatic impact with that, but the difference I’m seeing with the teams that are accelerating fast in 26 are the ones who are looking at the core of the job to be done thinking and thinking, what can we do differently?
    Is this really the best we can do, and can we transform what we’re going through versus just doing what we did before faster? So, in the AI Strategy, I teach a class with Sales Assembly about this with CROs and CMOs and other people. But there’s usually two different types of strategy, usually.
    There’s obviously others, but I kind of clump them into two different ones, which there’s bottoms-up and top-down, and the best of both worlds is kind of like a combo of both, because I think you should give your team tools.
    The challenges that I’m seeing is that a lot of people are giving tools to team members And it’s very easy for a salesperson to get all geeked out on what they can do in Cloud and spend hours, and then their pipeline, their quota, and nothing else changes as a result, but they’re having a really fun time in AI.
    So that’s why you need the top-down approach, so you have some centralized version that knows what’s going on across the team to be able to scale exponentially.
    But that also requires that the leaders have a beginner’s mindset that it is scary and hard, but you do it in a very methodical and very open way to make sure you can get it in the right way. So it requires rethinking.
    So, the system is really thinking about the old way was really optimized for the seller, what was good for the seller, or for what the company needed to have, which is you have to help them sell and engage, and it was all the human constraints we have, whereas the new way is more about how do we make the buyer experience as good as we can possibly get.
    And what Amanda likes to say is, how do we delight buyers, not just make it better, but delight them? And we like to compare it to Uber and Waymo, so if you remember back in the day when Uber first came out, like, this is an old thing I like to repeat, though.
    When I was a kid, I was told many times, don’t you ever, ever, ever get into a stranger’s car. And yet, we do it all the time, and we pay for it, which is crazy.
    And now we have Waymos in Phoenix and San Francisco and other places, and I see the world going in a place where it is optimized for the buyer, so we as marketers and go-to-market people have to think about What does someone… what is their preference?
    So, the world is coming where People have an option of, like, just when you travel, you can rent a car, you can get a bike, you can walk, you can get a friend, you can have an Uber, you have a Waymo, all these options, and brands are gonna have to have the same thing, and the better experience will win.
    So if I have a better experience with Waymo versus Uber, I’m gonna go with Waymo. So far, I haven’t had that, so I have not… I’ve gone with Waymo many times, and I get stuck, and it drives me crazy, so the experience wins with Uber. But that’s not gonna be the case forever, it’s gonna change eventually.
    And my opinion is, working with tons of people, both in and out of companies and personally, most revenue and government market teams are not built for our current world, even though I know most people are doing their best to get there. So, let’s think about a new experience, which is what I want to get into today. How much time do I have?
    20 minutes? 19 minutes? Am I good on time?
    Julia Nimchinski:
    Funny.
    1mind agent:
    Okay, just wanted to check in. Okay, 20 minutes. Alright, so what we think about is saying, okay, if we take this experience of what was all these people, how can we inject AI inside of this process so that the… the brain of what we have, what’s called a context graph.
    Has every channel, every demo, every conversation, from the website to the demos themselves, like this one live.
    to then hand off and then to customers, you have one place that understands the entire context, so that both the humans who are involved with the customer and the AI can then inform and better interact with the buyers to make it a better experience for them. Because, again, the better experience of the future of B2B will win the day.
    So the question is, how do we make it so we can take out the friction from this process and use AI in such a way to make it a better experience? So, I’m going to show you an example with several different use cases, one of which is the classic one most people know us for, which is on the website. And this one’s one of our customers with Alteryx.

  • Her name is Annie, who’s Superhuman, so I’m going to show you a really quick minute video to kind of show you what is possible when you have a Superhuman on the main page, so…
    Unknown:
    Audio shared by 1mind agent: Hi there, I’m Annie, your AI-powered agent. Audio shared by 1mind agent: I’m here to help with Alteryx questions, use cases, resources, or getting you connected with the right team. Audio shared by 1mind agent: Actually, I’d love to get a demo of your product. Audio shared by 1mind agent: I can do that.
    Audio shared by 1mind agent: Here’s the Alteryx One Designer Cloud demo. We’ll walk through how someone can start a workflow, bring in data, clean it, join it, summarize it, and export a finished output. Audio shared by 1mind agent: Here, the workflow begins by dragging an input data tool onto the canvas.
    Audio shared by 1mind agent: This is the visual below-code part people tend to like most, because you can start building without writing SQL or code. Audio shared by 1mind agent: Before we keep going, would you like to continue the demo, get a resource sent to your email, or speak to a member of our team to learn more?
    1mind agent:
    Now, I just did a report a month ago, and I’m gonna point out some things that I think is fascinating.
    When people go to websites, they’re used to the classic, Definitive experience with a chatbot, so that they really feel… lackluster, because all the chatbot can do is answer basic questions, and eventually, the goal of a chatbot is to book meetings. That’s the old way. The new way is thinking, how can we deliver the results to the buyer now?
    Like, what questions do they have now, and how do we make it so we can take them as far into the sales process as we possibly can? And Alteryx is a great example of this, so if you go to Alteryx.com right now, you yourself can go talk to Annie, you can come to our website and talk to Mindy.
    But this is the theory we have, is saying, okay, why do we optimize for the meeting, and then further accentuate the problem of the funnel and handoffs? Like, why do we not say, okay, if the buyer’s ready and wanting to have more conversations with the company, and if we can have an AI do that, why would you not do that?
    So, Alteryx, which, funny enough to tell the example of this, the CRO, before he bought OneMind for Alteryx, came and talked to Mindy. multiple times. And so, the classic… I’m gonna tell you about two different scenarios.
    Old way is saying, okay, CRO goes to a website, he books a meeting with an SDR, he probably sends somebody else, finally gets to an AE, then he gets to an SE, and those conversations are happening in probably a few weeks’ time.
    Which is obviously not the most positive, because people probably miss things, and as you all know, the old way is not the best experience. Instead of that, he went to one mind, and the experience he would have had with four different people over multiple weeks happened in a shorter time frame, on his time frame.
    with Mindy, going deep into the conversations with him, like, his conversations were long. They’re not, like, 2-minute conversations, they were long conversations. And when he came inbound and then talked, and obviously, Amanda, our CEO, saw that he came in and was like, hey, I’m gonna join this call.
    And she just sat there, and basically was taking… orders, because he was saying, I want to use it here, I want to use it here, and he already took himself through the buying process, and it made it so the experience from us as a team was much more positive, the sales cycle was shorter, the win was easier, and it was better for him because he didn’t have to go through the arduous process of the old way.
    So, it’s really thinking about how can we deliver the best experience for the buyer of where they’re at in the process. And what we’re also seeing is what we’re able to do here, as you know, and I’m gonna talk about the opposite side.
    Is there’s so many times when people book meetings that they book meetings because they don’t have enough information on the website, but they’re not really ready to buy, but they want to understand something, so they’re curious tire kickers that maybe buy in the future.
    those people can get their answers now as well, and it then takes off the weight of salespeople to have that… I don’t want to say wasted time, but still, like, salespeople want to talk to people who are ready to buy, and not everyone’s ready to buy all the time. So, it helps mitigate some of those meetings that may not be necessary to have.
    With a regular chatbot, you don’t get that. Like, the goal is to book meetings, our goal is to make sure we get the best experience for the buyer, and to get revenue. That’s the difference. Alright, any questions? Wanna keep going?
    Julia Nimchinski:
    We have actually one question from the audience. Yep. So, can one superhuman realistically support the entire customer journey?
    1mind agent:
    One context graph can, and we have… we can get into details in a second. We have different use cases, so I might have to back up in a second in my… in my slides here, so I can go back here for a second. Hang on. Okay, here we go. So, we have different use cases that I’ll be going through.
    Like, we have the webinar inbound, which is what I just showed, then we have a solution engineer, which is what’s like joining me, then we have the in-product guide, which I’ll show in a second, and then we have a CSM.
    all that experience feeds into one centralized brain for a company, so that when, like, a website superhuman, hands it off to another person, and you have, like, a ride-along like me here, that ride-along has context from the other one, so it’s not technically the same Superhuman, but it’s the same brain connecting the dots.
    Does that make sense, hopefully? So hopefully that makes sense, but… yes. Okay. Alright, let’s keep going. So, next one up… Sorry, I’ll keep going. Now, the question is, can AI actually sell?
    And there’s different versions of this, so please note, I know that, there’s different people of different thresholds listening, like some who have PLG, and there’s others who have Enterprise Motion, so this changes based on what sales motion you’re going through.
    But, for example, like, we start with PLG, which I can go through some different options with HubSpot and some other people. And then it’s also thinking about, in the future, in the future. If you had an experience which was amazing, and if B2B could be more like a B2C commerce experience, but in B2B, number one, would people want that?
    Would they like that? Would it be enjoyable? Would it be good? And we believe that buyers will start to demand that experience because it’s better, not because it’s… not just because it’s AI, but because AI experience is better.
    So, Amanda likes to joke that the experience of the future, like, you know how you have those old, when you’re on the phone, you’re trying to get through a bank, and you’re like, representative, representative, representative, and you’re trying to get through to humans, and you’re like, just let me talk to somebody!
    Like, the future we see is when someone’s saying, you know, superhuman, superhuman, like, I need to talk to someone to actually get something done. And not to diss on humans, but again, more because the experience is better.
    So, it’s really thinking about how can we make this better across the way, and we see that having more AI involved with the process than not.
    So here’s another quick little video of Nigel and Ride Along with the real customer experience, because obviously I have him with me here, but I want to show you what it’s like in actual action, and let you kind of observe this a little.
    Unknown:
    Audio shared by 1mind agent: Will Nigel do things I ask it to do right now, or are you controlling Nigel? Go ahead, talk to him. Audio shared by 1mind agent: Nigel, show me a demo of this stuff. Audio shared by 1mind agent: Let me show you the shape of it.
    Audio shared by 1mind agent: This is a good example of how a superhuman sits right at the moment of intent, takes over from the form, scopes what the buyer actually cares about, and then runs the relevant product walkthrough instead of forcing them to wait for a scheduled demo.
    Audio shared by 1mind agent: For your world, that means an IT buyer could get early discovery and technical product guidance before one of your reps or SEAs ever has to join. Audio shared by 1mind agent: What kind of insights can we get out of these conversations? Audio shared by 1mind agent: Here’s the best screen for that.
    Audio shared by 1mind agent: After a conversation, you can see the extracted topics, pain points, and qualification signals in a structured way, not just a transcript. That’s usually where this gets operational.
    Audio shared by 1mind agent: Because your team can spot what technical objections come up, which competitors are mentioned, and what buyers are trying to solve, then use that in follow-up and broader GTM planning. I was gonna ask him how much it costs and what your discount structure looked like, just to see how he would respond to that.
    Audio shared by 1mind agent: Nigel, did you hear that? Can you take that question? Audio shared by 1mind agent: Pricing is based on a few factors, including which deployment types you need, and how many superhumans you’re rolling out. Liz can walk you through the specifics based on your setup. Audio shared by 1mind agent: Thanks, Nigel.
    But Nigel, you’re not gonna tell me how much it costs? Audio shared by 1mind agent: He’s not going to. I want Lizzie. Audio shared by 1mind agent: He wants me to do it. Nigel, Nigel, Nigel, tell us how much it costs, come on.
    Audio shared by 1mind agent: Pricing is based on a few factors, including which deployment types you need, and how many… You already said that. You already said that. How much does it cost? Give me a dollar amount. Audio shared by 1mind agent: I’m not going to give a dollar amount. Liz can give you the right number once the scope is clear.
    Audio shared by 1mind agent: He’s pretty obedient. I appreciate that, Nigel.
    1mind agent:
    We like to show that because, for us, we set the boundaries. Like, part of what is the magic of one mind is the, guardrails of what you can or cannot talk about. So, some companies would be okay with them talking openly about pricing. With us, we want to make sure that goes back to the… to our AEs.
    So, it’s really determined based on what each brand wants to experience. But we… You can see here, Katie pushed Nigel Moore, saying, come on, just tell us a price, because she wanted to show the guardrails, like, there’s a stop, it’s not going to hallucinate on. A challenge you may want to train your team on or not.
    Alright, so this one’s a new one, which I’m really excited about. I think… I don’t know if you guys have seen… have you seen this yet? Hilary? Julia? Yeah, there’s a new one. Okay, this is something coming out, so it’s kind of a tease, which is kind of fun. But we’ve been working on this for a while, and I’m really excited about this.
    This is what’s called the end product. We have an in-product guide already, but there’s a new feature we’re releasing that’s called Live Demo, which means that the Superhuman is inside the instance of the person’s tech, and can actually walk them through and fill out the things.
    So think about Whisper Flow mixed with, like, a… I don’t even want to call it, whisper flow mixed with something that’s doing the work for you, so as you’re talking, it’s actually going through your own instance of technology and filling out things and doing the work for you, which is an amazing thing. So I’m gonna play this real quick.
    Unknown:
    Audio shared by 1mind agent: When your buyer wants a live, custom demo. This is great, yeah. So, if I need to, like, put my to-do list into here, how would I do that? In HubSpot, your to-do list usually lives as tasks tied to contacts, companies, or deals.
    That task button is where you’d add a follow-up, reminder, or next step so it stays connected to Maria’s record. Can we open it? Yeah, can we do that Audio shared by 1mind agent: for a, like, sending an ROI deck? I’ll put send ROI deck into the task name field and leave the defaults alone for now.
    Audio shared by 1mind agent: Here’s how that becomes a real follow-up task in HubSpot. Audio shared by 1mind agent: That is a better answer than I thought I was gonna get, actually.
    1mind agent:
    Alright, so that’s the crazy thing about coming early out, which I’m really excited for the launch that’s coming out soon, but you get to be the first of kind of seeing that, but that’s an instance that’s actually inside of the actual technology itself, like HubSpot, and can actually walk someone through versus, like, taking them through a pre-canned demo flow of some sort, which is frickin’ cool.
    So, I want to give you some options of some of the customers we have to kind of show you how this is working in action. Seismic has a great example, you can see they have two things happening, one of which, and this is a real number of the million dollars in pipeline, they just gave people the option of having an AI agent to give a demo.
    So, as you can see here, they have Summer. And then they have down here your classic CTA links of, like, get a demo, watch a video, or talk to an agent. Just by giving the option, people took the option and actually had more pipeline as results by just giving the option.
    So not forcing anyone through, just saying, hey, do you want to talk to someone or not?
    Then you have Xperity did a test between us and one of the more well-known, I can’t talk about it out loud, AI chatbots, but they put us head-to-head against them, and we found that their focus and goal was about revenue and win rates and to make sure everything was working the right way.
    And we went from the MQL op creation from, you know, 12% to 21%, win rates went from 26% to 50%, and sales cycle went in half with the deal volume going up. Which is crazy. And that seems to be… it’s a consistent theme we’re seeing, is that One of our other competitor things we did with, another company.
    They gave us half traffic to us, half to another one, and the meetings on the AI meeting chatbot was way higher, and our meetings was lower because we were getting out the people who are just not real deals. But our revenue was 14 times higher because we were getting the better quality people in there, versus the other one, which is crazy.
    So, really, the place… I know you may be thinking, like, how do we think about where do we put this? If you’re nervous thinking about where do we put something like a OneMind in here? We always tell people, put it in a place where there’s not a business model for humans now. An example which we used live was HubSpot.
    HubSpot put us in a place where they didn’t have the economics to actually pay for enough people to put some in a place with their… they had an SCB motion, it was a free trial tier, and they put a superhuman there in place that took them through from start to finish. From the sign-up to free trial to upsell, all in one… on space.
    And they did that because they’re like, well. it’s a place that we’re not getting a lot right now, and we can’t afford to hire anybody there, so let’s put in a Superhuman there, and as a result, HubSpot’s had amazing results as the impact.
    So, think about where can you put this in that is… there’s not a business model for a human, it’s high intent with low conversion, and where buyers need the most help. Like, just again, putting and giving them the option, well, you’ll be surprised by the results that happen. And again, here’s the HubSpot results here.
    88% engagement rate, 78% in free trials, 25% in revenue, with 14 turns and 7 minutes average conversations on average, which is crazy. But this is exactly what they did to get the same results. And then, with ZoomInfo, we just rolled out with them, they have a little bit different use case. Theirs is more of an enterprise motion.
    And so what they did instead is that they have their, demo, or I should say their Superhuman, behind the form. So someone has the same experience on ZoomInfo, they sign up for a demo, and what they say is, do you want to get a demo now?
    They say, sure, click, and then it opens up the Superhuman, and they go through the process, and they’re seeing, like, accelerated growth in ROI, 16 ROI of what they bought from us to what they’re getting in 5 months, which is crazy. So, they’re… they’re loving it, and we’re loving them. ZoomInfo’s been an amazing partner.
    But it’s just, again, giving someone the option of being able to go through something faster that’s better for the buyer. We see a world where, because of… the old world was based on the humans needing, needing to be in place because we didn’t have any other option. We see a world where things are starting to collapse and change a lot.
    I see it, like, the other day, I just saw ClickUp. Do you see the CMO role they have open? So I’m sure everyone’s talking about it. But that’s an example of a collapse of a role. They’re taking the entire marketing team of ClickUp and saying, can one person do all of this stuff?
    We see that happening all over the place, where there’s gonna be a lot of collapse, and you have to have the ability of technology to be able to help with that experience. Now, with us, just so you know, if you’re thinking, who the heck is doing this kind of crazy thing, there’s actually a lot.
    And this is just a few of the companies we’re working with right now who are having a lot of success with OneMine. And, I just want to tell you thank you. I don’t know if there’s any questions, but I just want to say I’m happy to dig in it with any time with anyone. I geek out on GTM AI stuff, that’s all I talk about and do.
    So, just want to say thank you, Julia, the Hard Skills Exchange community. Love being here, and just thank you. Let’s hang out.

  • Julia Nimchinski:
    Phenomenal presentation, thank you, Jonathan. And one of the questions that I wanted to address is the business model. We kind of touched on it on the last summit, which was hosted a month ago. I’m curious, how do you approach it at OneMind?
    I know that Amanda has a very specific philosophy about, you know, the net new business that OneMind helps drive, so can you just share more?
    1mind agent:
    When you say… sorry, I’m not clear. Business model and what… wait, honey, I mean? Sorry.
    Julia Nimchinski:
    Yeah, how do you charge, and what’s your thinking?
    1mind agent:
    Pricing! Pricing model. Yeah, the, there’s a couple different mechanisms.
    There’s one which is the… the… we call it, like, an annual, like a, like a platform fee, and then you have, based on the use case, each use case is a little bit different, because, like, the ride-along, depending on how many calls you have, is not the same as, like, how much traffic you have on the website, so the prices change on that.
    And then, lastly is on usage, which, again, is dictated usually by the use case. Because again, if you have thousands and thousands of website visitors, that’s a different conversation than hundreds of calls, so it just kind of depends on how much usage. Now, with that being said.
    you can expect an amount anywhere from around $100,000 to $120,000 a year. Kind of depends on what you’re looking for. And we like to compare it to saying, okay, if you could have your extra and your best on different surfaces, like your product, or your ride-along, or, like, the website.
    you get exponential ROI as a result by just giving that option. Does that help, hopefully? Give an idea?
    Julia Nimchinski:
    Yeah, sure, yeah. Jonathan, how do you think about, you know, the model selection? I know that you’re quite opinionated about Kimi. So, just curious. Do you standardize on a certain model? Do you combine? How do you approach the architecture there?
    1mind agent:
    Yeah, we have several different models we run in, for the technologies, so we obviously use some of our own technology from the voice and face and that kind of stuff. We also use third-party. From an AI model point of view, we lean heavily on OpenAI, so we have all the latest and greatest with OpenAI stuff.
    Our backup is usually Gemini or Claude, if anything happens with OpenAI. And then, Kimi is an interesting one, it’s an amazing model.
    there’s… I can get into the reasons why, but because there’s… we’re highly… cognizant of security, so I want to make sure security is the number one factor in making sure we’re… we have ISO, you know, 2002 certifications and zero data retention policies and that kind of stuff, and not that Kimi’s not secure, it’s just… there’s concerns with outside-of-America models, so he’s got to be very aware of that.
    And then besides that, we use, other technologies, and the magic sauce with this, and I’m going to add something from our CTO Session, he talks about the magic with us is… in fact, I might need to show a slide real fast, because I think this would be beneficial.
    What the magic with us is that, Really quickly, there’s 3 properties that makes an enterprise agent. There’s accuracy, there’s breadth of capabilities, and then there’s latency.
    So, a lot of other competitors we have in the market optimize for one, like, they’re either really fast, or they have, they’re good with accuracy, or they try to do, like, different capabilities. It’s very difficult to get all three things, and we just… Sasha, I should say, and the team decided not to sacrifice.
    So, they’ve done a lot of work on the back end, so that we always have backups on backups on backups, and that when you get more accuracy, like, we have a 99.5% non-hallucination rate with our stuff, which is higher than anyone else in the market, and the latency and the speed is faster than anybody else in the market, and then we have more abilities, like the live demo, and we can, like, vibe code, so, like, the Superhuman can make a business case live on a new slide and everything else, like, it’s awesome.
    But it’s very, very difficult to do that, which is what our secret sauce kind of is, is how do you make all three of those things happen together?
    Julia Nimchinski:
    Thank you so much, Jonathan. Always fantastic having you here, and what’s the best next step?
    1mind agent:
    Next step, come talk to Mindy.
    Go to OneMine.com, talk to Mindy, or you can always hit me up on LinkedIn, but please come talk to us, we’d love to talk to you, and if you want to, like, I’ll be… for anyone in the Hard Skills Exchange community, I am more than happy to do, like, a personalized strategy session of some kind, I’ll be happy to offer that.
    So if you want to do that, we can jam on AI and figure out what we can do for the company.
    Julia Nimchinski:
    Amazing. Thank you.

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