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Will AI Take Your Job? How AI + Humans Can Make 10 Employees Feel Like 50 · 10X AI with Julius Neil

• Julius Neil Buenconsejo: AI is going to take my job. In your experience right now, is it happening now people are being displaced because of AI? Adam: A human by itself or an AI by itself can never achieve the same thing that AI and humans together can achieve as long as you do it the right way. AI is an amplifier for whatever you do. If you put AI into bad processes, it amplifies those bad processes and makes it makes the processes worse. Whereas if you put AI into a solid process with the human in a loop and you understand what it's doing, it amplifies that human's ability to do so much more as well. If you're a startup business, It can make 10 employees feel like 50 employees. Julius Neil Buenconsejo: Good day everyone. I'm here again with another guest. Today's guest has helped companies scale from under a million dollars to over a hundred million dollars in revenue. He's led global commercial organizations across North America, Europe, Asia Pacific, and serve as CRO and sales and marketing officer at CloudSat. Now he is the chief revenue officer and leads enterprise growth at Connectis. So Adam Connor, can you introduce yourself to our listeners and audiences? Adam: Yeah, thanks, Julius. Really appreciate it. I've been in the PPO industry now for coming up to 20 years. I've worked through a number of different organizations and and roles within them. I'm currently with Connectors, transforming how we do business and working with lots of companies and helping them to improve. So thanks for having me. I appreciate Julius Neil Buenconsejo: Yeah, Adam: it. Julius Neil Buenconsejo: so for our listeners and viewers, can you describe what kind of companies connect How do you help companies or founders or owners or entrepreneurs of companies to transform? Adam: No, we're we're what you would call a a typical business process outsourcing BPO company. we do a lot of work within custom safety, within custom service, those kind of lines. We've actually started now moving away from the business process outsourcing. fundamentals and started to do business transformation outsourcing. So we come into a company, we work alongside them, we identify where AI and humans can work together and where we can improve. And from there we sort of push through and and make companies more profitable and help them to achieve their goals. So Julius Neil Buenconsejo: quite interesting. So you spent over two decades building revenue engines. So what's the biggest belief you held about sales 10 years ago? And now the AI era has completely changed. Adam: I guess really for the admin side of things, AI has helped a lot on the admin side of things. It's helped with the research. It's taken a lot of the doggy work, I like to say, out out of sales. So Julius Neil Buenconsejo: You Adam: I think I think now when the buyers come to you, they already know everything about you from the internet and things. We've gone through that change where you used to have to sell your company. A buyer who's coming to you now already knows exactly. what you're going to tell them before you tell them. So it's about trust, it's about understanding the customer. It's about working with the customer to achieve their goals. And the AI comes in from a sales point of view of giving you all of the information you want about the customer. It helps you prepare for the call. It helps you get all of the information ready. When it comes to writing proposals and things that are admin based and take quite long, AI has come along and really helps you to fix that. Julius Neil Buenconsejo: Okay, when a company comes to you, for example, they reach out to you, okay, Adam, we are a company, for example, I'm a finance company, if you already have this. I have a finance company, have 300 people right now, and we have a sales and marketing contact center with around 50 people. How can you help them automate and use AI in their process? Adam: So we would look at, we would take, we would take the 50 people to start with, we would work with them, we would understand what their goals are, we would understand what their pain points are. We would then train the people, and along the training process, we would understand where, okay, maybe we can enhance this process by adding in AI QA, for example, which is one of the big things that a lot of outsourcing companies do. a human a human QA person would be able to look after a certain amount of calls whereas AI Q8 can take 100% of the calls. AI never gets sick, it never gets tired, it never takes breaks, it's there all of time. It allows you to do a Julius Neil Buenconsejo: Mm-hmm. Yeah. Adam: lot more a lot quicker. So by inputting that we can make sure that all of the calls are Q8. Then we would look at other things where we could bring in a AI coach, we can bring in other AI elements to really elevate the people that we have and and your people to make sure that the process is the best that we can Julius Neil Buenconsejo: Okay, so can you give me a use case for example anonymously so you don't have to tell which company is this. Just give me a use case example of a company that you came in and then from this state and then to the future state what are Adam: Thank you. Julius Neil Buenconsejo: the plans and how did you execute introducing AI into their system. Adam: So we there there was a large customer who came along, they were they were looking at around 50 seats, funnily enough, which was what you said. we we introduced a platform that helped them to reduce it down to 22 seats. But Julius Neil Buenconsejo: Mm-hmm. Adam: instead of the old traditional BBO model and how you price things, we priced on outcomes. So how many people we served to see slash or customer satisfaction score, how we made all of these Julius Neil Buenconsejo: Hmmmm Adam: things. Which incentivizes us to help the company to something better. The the old BPO way of doing things is kind of a paradox. The better you do, the the quicker you handle calls, the less people you need. So if you're only charging from C, then the BPO loses out the better they do. Whereas if you're working Julius Neil Buenconsejo: Mm-hmm. Adam: with outcomes and pricing by outcomes, introducing AI, introducing systems, then everybody wins and and all rising tide floats on boats so everybody gets the outcome that they're looking for. So we introduced the the platform. We started with the QA as I as I talked about before. We talked about copilot with working with the guys to make sure that if they've got a customer coming up, it'll pop up straight away with all the previous interactions with the the customer. He'll understand exactly where they are, what their pain points are, how to fix things. That way you have context going in. It's a much smoother transaction than if you're just trying to understand from from where it is. So we've introduced quite a lot of that within the company. The customer satisfaction has gone up a lot. And the average handling time has come down, which is the Nirvana for any company that's looking for outsourcing. Yeah. Julius Neil Buenconsejo: Okay, so you describe about 50 people in that company so you wanted to have that Adam: Mm-hmm. Julius Neil Buenconsejo: process in BPO. So in terms of economic analysis or financials, how much this company would spend to be able to reduce from 50 to 22 and using your platform? Adam: It it it depends. It depends on as I said, so rather than looking at how much you spend to reduce people, because I don't think you're ever going to reduce people as far as what the scare tactics say now. I think Julius Neil Buenconsejo: Mm-hmm. Adam: you pay you pay for outcomes and and you're looking at it the wrong way. If you're looking at it for how many people can I reduce, then you're already looking at cost savings rather than improving your business as I thought. If you look at it from a point of view of how can I improve the company? How can I make maximize my profits? How can I elevate the business to where it should be? That's how we help and that's how we bring it in. So it may be that the cost reduces, or it may be that the cost doesn't reduce, but the profit margins and everything go up and the and the amount of profit that you're making or the amount of revenue that you're making increases because you're handling more, you're being able to and you're growing the business rather than looking at it from a reduction point of view, Julius Neil Buenconsejo: Yeah. Adam: you should look at it from an improvement point of view. Julius Neil Buenconsejo: Yeah, so it's a really new way of thinking about it, but in the public now, the public perception about AI is, AI is going to take my job. as you know, there are a lot of articles, newsletters coming out and saying that the BPO industry is the first one to be, what do you call this, to be affected by the AI. In your experience right now, is it happening now that many people are being displaced because of AI? in this industry. Adam: Many not yet. I don't think many people are being displaced by AI, but this is one in a long list of things that was going to kill the BPO industry and it was going to change. All AI will do, it will change the jobs. It'll it'll make sure that knowledge work becomes the norm rather than just the repetitive admin task that some people would like to outsource at moment. So I think there's a big opportunity to. Combine the AI and and the outsourced model to achieve your goals and to get to where you want to be. And I think that's where we're heading. I think I think we're still very early in the AI adoption phase. I think you're seeing a lot of the older players trying to sort of stick AI onto old processes and and it doesn't really work that way. You have to look at the Julius Neil Buenconsejo: Mm-hmm. Adam: process as a whole, you have to you have to make sure that. what you're what you're trying to achieve is something that's really going to fit within the system. Julius Neil Buenconsejo: So, but based on your experience for example in this space because you know this space very well, are there already instances that these companies are already displacing people or laying off people or it's the opposite that's happening right now? Adam: At the moment it's not happening as far as I'm I'm aware. AI isn't replacing people. some of the contracts that that people are or some of the BPO companies have are looking to reduce those contracts, reduce the seats because of AI. but it's not it's not even a direct impact on on the workers themselves. I mean it the the BPO industry is still growing. if you look recently at some of the news with the the profits and and things of the largest BPO companies that have been released in the last few weeks, it looks like a a really bad state of affairs. But if you actually look at the job boards and you look at the amount of people that they're trying to be hired at the moment and things, it's it it doesn't seem like it's the end at this moment in time. So Julius Neil Buenconsejo: Yeah, so for context for our viewers and listeners, so currently what most of the public knows about AI is because this AI agent, you can create your own avatar or even anybody. Anybody is like a hypothetical avatar, you just create it and then you use it as your agent and then it handles all the calls and then processes it. You can connect it with that app, you can connect it with anything in your workflow and that's the... perception when it comes also, you know, there's also voice AI that can handle all these calls together. what the, how are you going to tell our viewers and listeners that it's not gonna happen, it's not happening right now and it's not gonna happen maybe in the future. Adam: AI can do a lot of things. We've already seen some big businesses try to completely take out their customer service and replace it with AI. Within Julius Neil Buenconsejo: Yeah. Adam: a year or two, they've then gone back to try and hire the people, and it's probably cost them 20% more to hire the people because they've moved on. Because AI still, and not for a long time, won't have the empathy, the leadership, the understanding that the humans need within certain roles. If you're in a customer service role, you can do so much with a voice book, but you're still going to have escalations. We've seen it when in previous years, when when outsourcing to certain countries has been frowned upon by local markets. So they don't want to speak to the outsource company, they want to speak to somebody within their home country. We've seen it with other things as well. And I just don't think that we're ever going to get to a state where. AI can fix everything and we're just gonna cut people out of it because as I say, as far as I'm aware, nobody's figured out how to give AI empathy and and be able to understand somebody who's in a dire situation. And that's always gonna need a human touch. Julius Neil Buenconsejo: Okay, so I understand that. So another aspect of introducing AI into an organization is the resistance of the people who is going to use that. So most of the people will say, okay, oh, they're now going to implement AI, maybe they will lay off me in the future. So most of them will have this resistance and a lot of people will not have that buy in. So in your experience going into an organization, have you had this experience as well, the friction between, maybe the managers, the top management will have, okay, We love your product, but when you are implementing in the process or in the workflow, the frontliners, the ones who are actually using the system, are there some kind of friction or some hesitations or resistance from them? Adam: I think friction or hesitation is natural, especially when, as you say, when you look in in the media, when you look at the news stories that come out, everybody's gonna lose their job to AI. AI is gonna be running the world. We're we're very close to Skynet and all of these things if you believe what the media says. See in is believing. And I truly believe like I'm I'm I'm very AI focused. I'm very focused on on making sure that Whatever tools anybody has at their disposal makes them the best version of themselves. So once you can teach people and show people and and ask them to trust in you, which again, another thing that AI can't do, it can't make you trust it straight away. You have to build trust in it. You when they can see that AI can elevate them, them to a higher level, I mean. A human by itself or an AI by itself can never achieve the same thing that AI and humans together can achieve as long as you do it the right way. AI is an amplifier for whatever you do. If you put AI into bad processes, it amplifies those bad processes and makes it makes the processes worse. Whereas if you put AI into a solid process with the human in a loop and you understand what it's doing, it amplifies that human's ability to do so much more as well. If you're a startup business, It can make 10 employees feel like 50 employees. If you're an enterprise business, it can help you to really push on and achieve what you should, and also join departments together that traditionally are built in silos. I I I use AI and really try to develop AI in the sense of making systems rather than just automations, because automations is the start of things. But once you get systems that can talk to each other, that's when it starts. really, really explodes. Julius Neil Buenconsejo: Yeah, yeah, so you already mentioned about you know as a as a company for example if you're a startup out one person founder and then you can make you can make a company look like a 50 man, know 50 people 50 people company so if there's a you for example if there's a Startup founder who's listening to us right now who has a little might be one or two people if you're going to pitch to them right now what can connect this can can do can do for them right now when it comes to you know to maybe customer service or other aspects of their business. Adam: We would take yeah, I mean we would take the customer service, we would if it was a customer service road they were looking for, we would go in there, we would look at the process that they wanted to do. We have experts who can understand where AI can elevate that, again, giving you the output that you're looking for and really help you to achieve. Any business is only as good as its customer. So making sure that you have the right process with AI in the right places and humans in the right place is fundamental to keeping your customers happy. I don't If if a chatbot can fix your problem, fantastic. Everybody's happy with that. But 90% of cases, it needs a human in the loop or some understanding of the situation to be able to fix it in a manner that keeps their customers happy and keeps them return. So what we do, we go in, we understand the process, we find the best uses for AI within that process to make sure that the outcome is the best outcome that you can achieve and make sure that. Customer leaves you happy, and the business owner and our customer is happy with what we're doing. And we're with them every step of the way, and we understand that everything takes time and everything is stages to make sure that everything works. So having done it before with many different customers, we know the pitfalls, we know what to look out for. We also know, don't chump in feet first and expect everything to work in a way you need to take it step by step and and that's how we guide customers along the way. So Julius Neil Buenconsejo: Okay, so you mentioned about the pitfalls. Can you give me the top three pitfalls that you have encountered so far in the list of clients that you had? Yeah, yeah. Adam: the top three pitfalls are probably, as I say, trying to run before you can walk. trying to put AI onto bad processes. As I as I touched upon before, people try to automate things and think that it's gonna fix a bad process. It doesn't. All it does is amplify the bad process and makes it even worse if you're dealing with a lot of those. And making sure that the data that you have. And you're constantly learning and you're constantly going through and checking is fundamental to making sure that whatever you're trying to do in terms of automate and in use AI and is going to be successful and continue to be successful. We all know about hallucinations, we all know about things that can go wrong. You've got to make sure that you're checking everything along the way. Once, once Some people fix a process, they think that that's the end of the job and they can just leave it and it's gonna run perfectly. And as we know, life's not fair and it doesn't really work that way GDSC. Julius Neil Buenconsejo: Yeah, yeah, so for example, for example in onboarding so for example You already have all the processes, you know You already set up all the AI in between and then the workflows and automation all in all from step one to step ten So how do you do the onboarding now to make sure that every single in every single person or employee in that company will work as it is? alongside with AI Adam: So you you still have the human in the loop alongside the AI to make sure that it goes through all of the onboarding and make sure that everybody's achieving what they have. So you can you can set up systems so that you get flagged if somebody hasn't done something within the onboarding. You can set up systems to make sure that everybody is achieving the same goals, everybody's achieving the right targets within that onboarding to make sure that they're going to produce once they enter into an account with a customer. You make sure that everybody has the right intakes, the right language, the right everything for the customer. And then you make sure that they've achieved all of the training they should do and achieved all of the results they should do before they ever go into a customer interaction. So that's how we work along with the thing, you'll make sure that's Julius Neil Buenconsejo: Okay, so I'm curious about this because for the AI chatbot, I actually hate that AI chatbot whenever I go to one website and I saw that AI chatbot. I really don't want to use it sometimes because like what you've said, most Adam: Yeah. Julius Neil Buenconsejo: of the customers now when they go to your website, they check everything, the frequently Adam: Mm-hmm. Julius Neil Buenconsejo: cast questions and there's Google also, there's ChatGPT or Cloud, they can ask these things already. But there are a lot of questions that that is yet answered based on your website. And most of the AI chatbot will also just use this frequently asked questions and just put it inside the AI Adam: Yeah, yeah. Julius Neil Buenconsejo: chatbot. And still, it would take a lot, maybe three to five minutes just asking you all these questions and still it's not effective. Have you had experience that one company, you already advise them, okay, don't do the AI chatbot because it's not gonna work for you, but they still push for that and eventually fail? Adam: I I think I think a lot of companies went through exactly the same thing, Junius. So went through the AI chatbot phase as it were. And as we now got on, we're now on the AI agent phase, and everyone thinks the AI agents is the next thing that's gonna fix everything, but then you're gonna have, you know, it's it's it's the next thing. So every every every customer or every person I think has dealt with the AI chatbots. And again, it's finding that. balance between AI and human in the loop. If if AI chatbots could fix everything on your website, you wouldn't need a sales team, you wouldn't need a customer service team, everything would be fixed. But we all know that this isn't true. So it's finding the balance between, okay, the chatbot can do XYZ, it can fix 20% of the issues, which is great, and everybody can get what they want. That remaining 80% need to be sent to the right place, whether that be a human sitting in your office, a human in an offshore capacity, wherever it may be, to make sure that you're getting the right output to the customers and and making sure that they're happy with the response. So I think there's there's again rolling back to people who want to the I end of everything straight away without actually understanding that it's not the answer. We need to make sure that we know what we're doing before we start doing that. So Julius Neil Buenconsejo: because it's like similar to Teams. Sometimes there are things that you can easily fix by just calling, talking to the person in just 30 seconds to one minute versus Teams that you have to maybe 10 or five minutes, you haven't solved anything yet because you have to type and all these things. So I think there are things that companies should consider. Like for example, in customer service, maybe people who are... who are looking for customer service, they wanted humans. Most of the people who goes to to your website, who goes to call you, they wanted real humans to answer them because they still have the psychological effect that if there is a human behind the call, there is someone who cares about them instead of an AI. Who is this AI chatbot? So I think your point is... Adam: It absolutely. Julius Neil Buenconsejo: Yeah. Your point is... Yeah. Adam: It's it's the Sorry. Julius Neil Buenconsejo: You are on point with that, that before using AI chatbot, you have to make sure that this is the right path to go. Okay, so in terms of the revenue increase when they use AI in your experience with your clients, is there... Is there a correlation that when they use, like for example, we have automated or use AI in our 50 % of our process and then 50 % will be, you know, human, human, human, still human centered. And then the revenue spikes or, you know, the profit gains are very high or like something like that. Adam: I think yeah, I think I think it comes down to again, and it's it it's based on individual customers and understanding their processes. It's it's not a one size fits all, but you find you find the happy ground where AI can take away the easy front work that can be done to keep customers happy and to keep the business costs as low as possible. And then the humans are there for when the escalations happen and when they need to fix things and and have that empathy and trust that AI still doesn't have at the moment. It's it's so important that we don't lose that. And people understand that AI isn't AI is fantastic. I'm a big, big supporter of it, but it isn't the answer to everything. And they there still has to be the human in the loop. to give you an example, we do constant safety for for Some of the largest companies in the world. so we we moderate images. AI can flag an image from from social media and say that it's a dangerous image for for children or something like that, when it could just be a father and son hugging, but AI would Julius Neil Buenconsejo: Hmm Adam: pick that up and it and they can't distinguish between certain things sometimes. So that person could face a ban from social media. And if AI was running through that, AI wouldn't be able to necessarily, and I'm not saying that it can't, but it wouldn't necessarily be able to tell the difference between an innocent photo and a and in a not innocent photo, as it were. So what whatever element we go down, I think there still has to be the human AI combination to make the best useful process that we can. So That's that's basically my my reaching. I I think that together both of them make better than either one could make by themselves. And and finding the happy balance and understanding that balance is is where somebody like Connectors who who use business transformation outsourcing find the happy ground and and work with you to do that. Julius Neil Buenconsejo: Okay, so part of the implementation is also not only the training, only about implementation and the workflow. Part of the thing is checking the technology that is already existing. So a lot of the companies will have the legacy systems that are already in place, that they have been using for decades. So how do you solve that? Because you need to put an AI layer into the legacy systems, how do you solve that issue with the companies that you work with? Adam: So we we have our own our own assist company and we have partnerships with some of the AI layers. We we customize some of the legacy systems to to speak to R EPIs to be able to put things in there. but we also make sure that we again when we go through this, it it will come up on the under Discovery as we're working through together to make sure that we understand that we will Tell the customer whether I think that's a I I know it's a 20 year old system, but you're gonna leave it either now or in the next two years because it's not gonna be able to do the job that you need it to, or we find a way to work with it. Obviously, business owners don't want expenses that they don't have to speak. So if there's a way that we can make it work while using the legacy systems, we always will, but And it sometimes, as you say, it can be a little bit contentious because twenty years of using legacy systems is it's not hard to move across, but sorry, it is hard to move across, but sometimes it's it's for the better and walking them through and guiding them through that is something that we do as well. Julius Neil Buenconsejo: Okay, so in terms of since you are a chief revenue officer, personally, how do you use AI in your work or in your presentations and also telling your customers or prospective clients your competitive advantage using AI? How does that improve? Adam: It Julius Neil Buenconsejo: Yeah. Adam: on on in the sales function rather than the Julius Neil Buenconsejo: Yeah, in the sales cycle. Adam: so I'm I'm I'm a very big Flawed fan. Perplexity as well. I use Claude and Perplexity probably even more than I use ChatGPT, even though I use all of them. but Julius Neil Buenconsejo: Okay. Adam: I I as I touched upon earlier, we use AI to do a lot of the research for us, but we also then verify it as well because It can it can take time, it can do things a lot faster than humans can, it can get everything together. It can make us understand somebody's business very quickly, it can make us understand the relationships that business has with some of our existing customers. It can tell us some of the pain points by doing the research as well and get everything together. But then it can also make sure that the customer is fully aware of everything that we do and what we can achieve within it. So we use AI to really understand the problem. really understand that we're putting everything that we can into making sure that that customer is successful and what we do. But it's also important to to remember that when we're using AI, we're we're not using sort of public chatbots and we're never putting in any of the you know. Julius Neil Buenconsejo: Hey Adam: information that should be going in there because that's that's something that nobody should ever be doing is putting sensitive information into into public chat rooms and things so it's you the EU ai act has now been delayed a little bit but it's still it's it's coming and and what you can expose i is very very it's it's not gonna be around for long like the the AI SDRs that people are doing with mass outputs and things. I I think the EU AI Act is going to cure that for Europe for especially. the the US seems to to take a few more risks in terms of using AI and what they use it for. I think Europe tends to be very pragmatic in terms of you know the security around using AI. And I think APEC tends to be a lot more focused in certain areas than than the other two. And I think the three of them need to come together and need to be fast with the security and the pragmatism of APEC to make sure that we get to where we need to be with AR. in terms of what else it could do in sales, I think it can give us a leg up, as we talked about before, it can make a a 10-man sales team seem like a 50-man sales team and what What you can do now with AI and focusing, you can you can do 10 times what you used to be able to in terms of getting into sales rooms and doing the important things of building trust, speaking to people, understanding their issues, making sure that you're selling to them properly rather than working around. And I think that it can help you to craft proposals, it can help you to make sure that you've done the task. It can make sure that all of the information's put into your CRM, all of the admin tasks that used to take so long now be made sure made on with AI and and software to help you do everything. So Julius Neil Buenconsejo: Okay, you already mentioned about data integrity and then security. So how do you handle the AI governance when you have this project with your clients? Adam: So we yeah, we we're very we're actually certified, ISO certified for AI governance things. So we make sure that every project that we're doing, we we follow all of the rules. There's no personal information being put into AI and all of those kind of things. we make sure that we follow any any stipulations that come from the customer itself and and we make sure that everything that we're doing is is responsible AI rather than non-responsible AI as it may be, because they're they're two very different things and result in two very different outcomes. So yeah. Julius Neil Buenconsejo: How do you define for our viewers and listeners for context? So how do you define responsible AI? Anybody, any Adam: Responsible AI. Julius Neil Buenconsejo: company will just say we are an responsible AI company, but how would you define that in terms of some variables or guidelines? Adam: So we we we use all of our data, all of the data stays within the EU for EU customers. We make sure that we follow all of the guidelines around there. We make sure that we only use enterprise AI. none of the staff can start writing things into the free chat GPT on the internet kind of thing and put down, Julius decided to do this today, what should I do? Julius Neil Buenconsejo: You Adam: And then all of a sudden it's in the public domain. So we make sure that everything is sandboxed and and customers' data can't go anywhere. and we make sure that the staff are th thoroughly trained in doing that to make sure that there's no leakage or anything like that as well. So Julius Neil Buenconsejo: Okay, so another issue with some companies is some companies they don't want their employees to use AI. So, but everybody has their mobile phone and then they have their own, you know, chat, GPT, whatever, tools, whatever software that they're using that. So what's your take on this for companies who are banning AI instead of, you know, adopting it and making a governance behind that? Adam: I'm not sure they're gonna be here in five years, Julius, if they're trying to play trying to ban AI because AI is here to Julius Neil Buenconsejo: You Adam: stay, it's not going anywhere. but similarly to if you go back, I don't know, 20 or 30 years, somebody had a file that they could take out of the office. How would you know that they're not showing it to their friend to with some sensitive data? can you help me with this or things like that? It's the same way that they can take information out and ask Chat GPT at home. Just because you banned it in the office so somebody can't jump on ChatGPT to get an answer, they can still go home and ask their flawed ChatGPT perplexity, whatever is the answer to the question, and then come in tomorrow. That's much more dangerous than embracing AI, making sure that everybody understands the risks of putting it into the public domain, using an enterprise version so that you control the data. That and and again, I think that AI innovates people so much. I think included and everybody that we can embrace it, but embrace in an ethical and and non-dangerous safe way and make sure Julius Neil Buenconsejo: Mm-hmm. Adam: that we can tr we control it. I think if you ban AI, like you ban anything else, people will always find a way to get around it. And it's more dangerous doing it that way than actually embracing it and and trying to help and and educate people on how to do it the correct way. Julius Neil Buenconsejo: Okay, on the contrary, of course, if you have seen this news about Norway banning AI in children between, I think, until 16, 3 to 16, so they don't want the children using AI. What do Adam: I Julius Neil Buenconsejo: you think about that? Adam: I I I understand it. I think AI can make us lazy. And I don't mean that in a in a derogatory way. I mean if we go back 20 years, if I wanted to know something about you, Julius, I'd have to do go on Google, I'd have to do some research, I'd have to pull anything. Julius Neil Buenconsejo: Mm-hmm Adam: That now I could just type, tell me about Julius, and it'll come up with your LinkedIn and and all of these kind of Julius Neil Buenconsejo: Yeah. Yeah. Yeah. Adam: things. So you think you think I understand the same the same way that I understand the social media band and what it can do to you in terms of your mental health and stuff. I think the brain is a muscle, and if we're not using the brain to its full capacity, muscles don't develop as well. But I do think that we should be teaching our children how to use AI responsibly and and But using the brain and AI together. And I think that's the future. I I'm not sure that banning AI for for kids up to 16. I don't know about you, Julius, but you know, there was there were many things that we weren't allowed to do before we were 16 or 18, but me and most of my friends managed to do them before the age that we were meant to do them. So banning something, I'm not sure is gonna work so well. So I think Again, I think education, I think that making people aware of the issues and pitfalls and and finding a way to put things into perspective for for kids, for for adults, for business owners is much more important than trying to ban things outright because whenever you ban something outright, there's always rebels that try to get through it. Julius Neil Buenconsejo: Yeah, so you're in Turkey right now. Can you describe the AI adoption now in Turkey? Like for example in UAE or in Saudi Arabia, in the Middle East generally, they're very forward-thinking. They have built all the systems, they have governance on that, they have their own institutions also for handling AI. So in Turkey now, what is the condition when it comes to AI adoption? Adam: It's it's it's becoming quicker, it's becoming very prevalent. everybody here is using AI in some form or another. I know that the government here are looking to invest into it and bring AI adoption across the board as well. They're they're looking to be the next UAE in terms of trying to attract Julius Neil Buenconsejo: Mm-hmm Adam: AI talent and things as well. So it's very forward thinking. But to be honest, Julius, I think every country in the world is very forward thinking. It's just how they go about that and what what they're doing to to bring AI into it. Some people or some countries see it as fundamental to them making more GDP for their for their countries. And some countries want to use it to expand in different ways. But I think everybody is embracing AI. I think it's it's similar to before the the internet came along. I I think in five years nobody's ever gonna understand what life was like before AI took over. and I think all countries should embrace it and do what they can to bring the best out. I think it's it's a wonderful tool if used correctly and ethically. I think that many lives will be saved. I don't think that it's the end, as I touched before. I don't think it's Skynet that we're all gonna die from AI in the next five years and it's gonna take over, but I do think that we have to be responsible with it and I do think that we have to make sure that we don't you lose clinical thinking skills and things like that, touching upon the the Norway ban previously. And I think Turkey, along with a lot of other countries, are are implementing it in the right way. So let's see. Julius Neil Buenconsejo: Yeah, based on your client, most of the inquiries are coming into your system, having to explore implementing AI into their companies. So what is the concentration? Is it mostly Asia, mostly Europe, or the US? Adam: It's it's it's it's global, Julius. It's it's really global. So there's and and with that, as as I touched upon before, it it comes with different sort of perspectives. So when when the customers are coming from the US, they're very bullish in, yeah, we can take that. We let's try this, let's do this, with without really worrying too much. in Europe, there's a lot more thinking that goes around the governance of how do we implement this with the client data with all of these things because of GDPR, because of the and and within API and the Asian markets, it's very much we we are going to use AI. This is what we're going to do. Let's try and do it this way and we'll still steady and go slow and steady. So depending on where in the world the the companies are, it it's a different sort of roadmap into How do we move some of this into AI? How long is it going to take us to do that? How do we check that everything's working correctly? And we're there just to help them and make sure that it comes across. So but but Julius Neil Buenconsejo: done. Adam: it's definitely a global it's definitely a global phenomenon, Julius. It's not just one continent or another. So yeah. Julius Neil Buenconsejo: Yeah, yeah, yeah, I understand. I just want to understand if there is more concentration of inquiries from Asia or more concentration inquiries from the US or South America. it means it's global. Now everybody's adopting AI and looking for ways how to integrate that into their system. And then personally, how was your journey from... from start of your career to being Chief Revenue Officer and then now that you're in AI. How does that affect your life or your decision making or your management skills when it comes to the development of technology? Adam: Yeah. I mean, I guess being being on the front line and and doing lots of different roles within within BPO itself. I've worked with operations, I've worked in sales, I've ro grown up to know chief sales and marketing, the chief revenue officer. I've seen a lot of different things and I guess from from my perspective, I I started playing with AI and building with AI to to develop sales tools. I knew very early that the AI SDR wasn't what I wanted and wasn't what would work for me. I see lots and lots of posts on LinkedIn from people who've developed an AI SDR and it can give you 200 leads a day and things like this, and it's just it's just nonsense. plus When you look on LinkedIn, you can also see everybody who just goes to ChatGPT and says, Write me a post about this and then just copies and paste it. If if anybody's listening that does that, please do me a favor and go into ChatGTP and in the settings put, please write in my voice and give them an example of how to write so it doesn't sound like everybody else's posts as well. Julius Neil Buenconsejo: You Adam: so I knew that I knew that AI SDRs wasn't for me, but I I wanted information on potential customers who I could reach out to, how I would go about doing that. I wanted my an ICP or an ideal customer profile to be a a living organism rather than something that you write on a whiteboard and and everybody forgets after two weeks and just goes after everything. So I started developing AI that was a feeding loop within within sales and It it will identify customers from your ICP. When you win a customer, it then feeds it back into the ICP. So the ICP is always evolving. The customers that you're targeting is always evolving, and it's always looking to score what the customers are doing, how they're doing that. And from that point, I I realized that okay, so that works for me in a sales perspective, but from from an organizational perspective. Sales is still its own silo, operations is still its own silo, finance is still its own silo. So I've started playing within my spare time AI system that talks across the whole company and it's AI fundamentally to make sure that all of the different departments within an organization can talk to each other, see the information is seamless and it all feeds into a learning loop to make sure that the organisation is working working correctly and and all of the information is driving business growth. And that's kind of what I've been playing with and and developing in my spare time so. Julius Neil Buenconsejo: So hypothetically, if you are a CRO and then you are joining a new company right now who doesn't have any AI yet, as a CRO, what's the first AI system you're going to build? Adam: research and development on on who my customers should be, why they should be them, where they are in the market at the moment, what their pain points are if I can derive them from LinkedIn posts and and public information. and and then working through the admin side of things. Nobody wants to do admin junius. I w I want to be talking to people and solving their problems. I don't want to be putting stuff Julius Neil Buenconsejo: You Adam: into the CRM. but but information is so important for for businesses and all businesses have so much information. So making sure that the AI is putting this the information in it, the AI is checking that all of the information has gone in there and flagging if any information is missing. and once you put that information, then you can start building more AI systems on top of the information you already have to improve what you're doing in the sales function. Julius Neil Buenconsejo: Okay, and if you, for example, if you are, you already implemented that, so that's phase one. What do you think would Adam: Mm. Julius Neil Buenconsejo: be the phase two after you have this research and development? So research and development is very important because you wanted to make sure that you understand the company and then the market that they are serving. Now the next phase, as Chief Revenue Officer, what is the next phase for you? Adam: Next thing is to me is a feedback loop. proposal writing, does that proposal win or lose? Why did that proposal win or lose? What was the feedback from the customer? Feed that back into the front research engine so that everything's learning and connected. Once you've got that happening, then you inform decisions when you're then researching the next customer. It can say to you, okay, Adam, last time you were you were selling to Facebook. You didn't win because Facebook said that you were too expensive. Now we're going to sell to X. make sure that the price comes down by 20%, or you're going to lose again. And that's the feedback loop. And it's it's constant loops. Once you've got the AI automations and processes correct on the fundamentals of good processes, you can then start feeding the feedback loops, much the same as people are doing with AI agents at the moment, in terms of having swarms of agents doing different tasks up to a a master agent. You can then start building feedback loops within to a system to make the system become more intelligent in itself and around what you're doing. You're training the system on on your data. And that way you make better decisions. AI is going to help you make better decisions. And that's the nirvana for any kind of business at the moment, I think so. Julius Neil Buenconsejo: Yeah, so based on the data that you're gathering about the fee in the feedback so but that is you know, that is ideal, ideal, ideal system or workflow that you wanted. But you know, for example, there's this for our listeners and viewers, a lot of our company, a lot of our a lot of companies right now are having this problem. They have so many so much data about their customers, but they don't know what to do about it. So why do you think companies just collect data and still Even if they have this feedback loop, they're still missing a lot of those points. They're still not serving what are the pain points of their customers. Adam: Yeah, it's it's it's an age-old question, Julius. It's I think every business Julius Neil Buenconsejo: Yeah. Adam: that's over twenty years old has a CRM full of data that they don't rinse, they don't make Julius Neil Buenconsejo: I know, I know right? Adam: sure it's still and and really you should you should perform some hygiene on your data to make sure that it's all relevant and dispose of it if it's not relevant. because look, if you if if if you imagine the AI And and a lot of your listeners are listening to you for the AI side of things. But if you feed bad data into AI, you're only going to get bad data out. If you feed bad processes into AI, you're only going to get bad processes out. You need to make sure that the fundamentals that you're feeding in there are correct. So the first thing I would do before I ever touched any AI in this in a business that had 20 years of data is I would clean that data completely to make sure that it's all relevant, it's all up to date, it's all correct. Then you can start building the AI on top of that. And then the AI is actually going to give you something worthwhile out. If you're feeding it a lead from 20 years ago when Julius was working for, Julius Neil Buenconsejo: Ha Adam: I don't know, Mc McDonald's. Julius Neil Buenconsejo: Mm-hmm. Adam: Julius isn't working for McDonald's anymore. There's no point that data going in there because it's completely irrelevant. And what I get out of it is not going to be useful. So please, please, please team your data, make sure that your data is up to date and also make sure that you're reporting it with. It's also Julius Neil Buenconsejo: Okay, so just for clarity, so how would you define a good data for AI? Because everybody will say, okay, we have this data, this is good, but in reality, maybe people are not trained to look at the good data or not. So how would you do that, for example? What's your advice? And on the other side is, for Connect, how do you do the cleaning of data to make it better? Adam: So we make sure so we we make sure that all of our data through through emails and and contact data is all kept up to date. that we have the opt-in, we have the opt-out. We make sure that everybody any emails that we send don't bounce, things like this to make sure that it's all relevant. If anybody leaves an existing account, we make sure that that contact is deleted out of our CRM. And we make sure that we're doing a a data cleanse every couple of months to make sure that everybody's still relevant and we haven't lost anything within there. That way, whenever we have marketing material to send out or we need to contact somebody for something, we know that the data is correct and we can get to whoever we need to. there's lots of different ways that you can do that. It is a tedious job. unfortunately, I don't think there's an AI. made yet that can go through your CRM and call everybody and say, hey, this is Julius, thinking you're still here and you're still working. but if somebody does I'm sure they'll make a lot of money from that because it's it's a tedious job, but it's something that people need. And all data and and and data that is useless is just that it's useless. There's no point having 20,000 rows in your CRM if 10,000 of them are have moved on and don't have the right contact information. So It's important that the information you have in in in your business is up to date and clean, so Julius Neil Buenconsejo: Okay, that's a very good point. Because sometimes their data is very out there than some of them 20 years ago, some of them 15 years ago. So how often do they need to clean the data to feed it to the Adam: I the Julius Neil Buenconsejo: AI system? Adam: I mean, I we we're constantly keeping it clean in terms of making sure that when we're doing marketing, if you're doing a newsletter, if somebody's left the newsletter or bounce, you make sure that you delete that contact, you make sure that if anybody doesn't want to receive that newsletter or email, that you remove them from the email list. and if they're already your customer, you should be calling them if you start off at any way to check in and make sure that they're happy on what they're doing. if they're not their customer, you should be calling them quite regularly anyway to see if there's a chance that they want to be your customer. So there you should and if you're not if you haven't contacted them for six months, nine months, twelve months, then reach out to them and see if they're still there and what they're doing and if there's a chance and if they there isn't a chance that they're gonna be your customer. Do they know somebody who wants to be your customer? Because that's always a good conversation to have as well. And working through with people and and I think. One of the things, and and going back to a question you asked at the start, one of the things that's changed in in the last 20 years of sales is the human connection. I mean, when I first started sales, we would pick up the phone, we would talk to people and and create relationships. I think nowadays a lot of the new people coming into sales are scared to get on phones and want to write emails or LinkedIn DMs or things like this. Whereas there's there's something to be said for human connection and and and even Like a handwritten note sometimes, writing a letter to someone. Where was the last time you wrote a letter to someone, Julius? But not an email. Like it's going back to the old school sometimes differentiates you from from everybody. so yeah, I think there's there's lots of things that we can do to to make sure that we keep everything clean. And sometimes AI isn't the answer. A lot of the time it Julius Neil Buenconsejo: Mm-hmm. Adam: is, but sometimes it isn't. So Julius Neil Buenconsejo: Okay, so again, I will ask you hypothetically as a consultant in the future, for example, you are advising a CEO with a 500 person company, but they only have a budget of one AI initiative for this year, 2026. Where should they invest first? Adam: Very good question. It depends it Julius Neil Buenconsejo: Hahaha Adam: depends on the it depends on depends on the business. But honestly, I think admin is the number one killer of time, productivity, and everything. So depending on what the business was and what admin tasks are being performed within within the business, I would look at an AI to help me with the admin to reduce the admin so that the people who are employed by my business can work on the relationships, expanding the business and work on the business to make sure rather than working in the business right in into CRMs, right in into functions and and keeping the data there, I think if you've got AI that can take away the admin gain from from your employees, I think your business grows quicker. Julius Neil Buenconsejo: Yeah, so I agree with that because I have I I think two weeks uh two months ago I have this I have this client who is uh, he prepares their company prepares a lot of a lot of contracts So I asked them first, okay, because they wanted AI chatbot. They wanted this they wanted you know, the What's the what they call the sparkle of AI to show the world? Wow, we are an AI Adam: Yeah, yeah. Julius Neil Buenconsejo: company So I asked them first. Okay, what is this? What is it? The that your people are you know are spending most of their time? And then they said maybe administrative then I asked several people, okay, and I asked several people Can you give me for different departments? So most of them will say this, you know the preparation of documentation So I asked one one guy who's preparing for the contract and he said Regularly, it's very fast. Maybe around two hours. I just need to prepare these this and that and all that Okay, let me check though. They send me this the document they describe their procedures and all that So I told them, okay, we can have a workload for this and then we can integrate AI and then let's see what happens if it's still accurate or not. So I also told the CEO, okay, we still have the human in the loop. And then they were surprised from 120 minutes, they were able to prepare the contract in 15 minutes. And then another maybe 15 minutes or so to check if the information are correct for the clients and all that before sending that. And I told them that is not fancy. That is not something that you can tell the world that we're doing this, but this has the value. That's the problem with the AI Adam: Yeah. Julius Neil Buenconsejo: adoption now. You know what I mean? That's the problem. They wanted to tell people that Adam: Everybody Yeah, yeah. Absolutely. Julius Neil Buenconsejo: we are doing this on their website. We have this AI chat, but just to show the world that we are an AI company when in reality, you don't have to tell that first because you have to fix a lot of things internally first before going outward. Adam: Exactly. Exactly. I think I think every CEO in the world wants AI in their company, but only maybe five to ten percent of them know exactly where the AI goes in to to help them. And I think it's it's the wrong question to to want to be an AI company and to have AI in your company. I think first of all you want to understand the outcome. I mean, the the example you just gave there, they're able to do four contracts in the same time after QA in them than they were before. That's much more valuable to a Business than having an AI chatboard that doesn't really do anything. And I think CEOs, owners of businesses need to really think about: okay, what would make us more profitable? What would make our business better? How do we get to become more grow more? How are we going to be able to hire or double in size next year? How are we going to be able to do the work without looking and and these are the questions that people should be asking rather than right, I need AI in the business, find me a way to do AI because again, AI Julius Neil Buenconsejo: Ha Adam: is only as good as as what you want it to do. It's a it's a wonderful, wonderful thing, but use it in the right way and grow your business. Don't ruin your business by putting AI on something that's already broken because it's not a it's not a miracle. So Julius Neil Buenconsejo: If we had any experience on something like that as well, they wanted something that would sparkle outside of the world. Adam: We Julius Neil Buenconsejo: And then in reality, when you check all their systems, you don't need that. You need this part of the department, that part of workflow. That's the AI where value is right. Adam: We've we've had the Yeah, exactly. We've we've had that before. I mean, I've seen it many times. I've seen, you know, again, the the everybody wants an AI a chunk bot. now now we've moved on to voice bots and everything that you could do fantastic. I mean, some of the work that they do with Eleven Labs and things is is outrageous and good now. there's there's lots and lots of things that That people think that they want without understanding the impact that it has on the business. The business has to be right first. So when you go in there and somebody comes along to you and says, Right, I want this, the best thing that you can do as a consultant or in our business those things is say, Hey God, get I understand you want that, but have you had to look at it doing this way? This is what we could do with this. How about we trial doing it this way? Give it a month, tell me what you think, and then we go off in that direction. So yeah. Julius Neil Buenconsejo: Yeah, yeah. So you have worked across continents already. Actually globally you're working with global companies on different cultures, different ways of working. So are you seeing different adoption patterns between North America, for example, Europe and Asia-Pacific? And what can each region learn from each other? Adam: Yeah, I I I think I touched about I touched on this a little bit earlier. I think the US is very much Ullish when it comes to taking on AI. They they they take on a little bit more risk. and I don't mean that in a negative way in any way, shape or form. They they're just more forward thinking and they're happy to take on more test cases to be safe for AI in terms of right. We this let's probably this let's see what what comes of it. Europe, again the adoption is is massive. Everybody's looking to move in there, but there's a little bit more grounding in in governance and GDPR and EU AI Act that's coming along. so when they're looking to do things it's it's very much through the lens of safety and and making sure that we're compliant and doing things. And and Asia, Asia Pacific, it's always going to be forward thinking. They understand, they're a little bit more pragmatic, but they know exactly what they're doing and they take their time, but they get to exactly where they want to be. So the three of them, if I could buy combine the three of them, I'd have the the speed of North America, I'd have the governance of of Europe, and then I'd have the the single minded spread of APEC and bring them all together and it'd be the perfect AI adoption, I think, Julius. Julius Neil Buenconsejo: Yeah, yeah, yeah, it's a little, know, it's really interesting that there are different ways of different ways of the companies coming from Asia-Pacific or Europe or North America. you think, for example, do you think this is because, you know, of the way the governments think in different countries? Like, for example, in Europe, mostly the governments are very protective of their data integrity and governance. even in other regulations, not only in AI, in other industries as well. But for us in America, okay, let's do this. As long as we get this capitalism mindset, get the money coming in. You know what I mean, right? Adam: Yeah, yeah, yeah. Yeah, I mean definitely the governments have a a lot to play. I mean the the whole GDPR and and and EU AI Act that's that's coming in definitely shapes Europe's thinking of the governance, which which is a really important and good thing, Julius. It's not a bad thing at all, but that can sometimes be a lot slower than as we said, the American, you know, let's bring the money in the capitalist mindset, let's just get what we can and do it as quickly as possible. against the the pragmatic approach of of impact you know I mean if you look at some of the the the models that are coming out of out of China and and EPAC now they're only a month or two behind the US in terms of the big Julius Neil Buenconsejo: You Adam: boys and when you start comparing the models and things so although they're a little bit more pragmatic they're their adoption and they're they're getting there they're not that far behind and in you know some I know quite a few people that are starting to really take to those models over some of the big boys like Claude and Chat G U P T. So it's it's really interesting where we're going and and what's happening in the markets. So yeah, it's it's exciting times for sure. Julius Neil Buenconsejo: One another question, second to the last question before we go to the rapid 10x question. So, how do you define AI fluency? Adam: AI fluency. Again, a great question. Yes. Julius Neil Buenconsejo: Because everybody says, okay, we wanted AI fluent. Like for example, Accenture, Adam: Yeah. Julius Neil Buenconsejo: said, okay, we wanted all of our employees to be AI fluent, but what is AI fluency? Adam: Yeah, I mean Julius Neil Buenconsejo: What is the guideline to be AI fluent? Is it just using ChatGPT, knowing how to prompt? Or is it an holistic way of looking Adam: If you Julius Neil Buenconsejo: of AI? Adam: Yeah, I think there's more, I think there's more than learning to prompt. I don't think that just learning to prompt is enough anymore. I think understanding understanding the limitations of AI and understanding what AI can do for you, but also understanding where AI can help, what you should be able to use AI for, what what AI you could use in certain situations, where you can leverage AI within interacting within the business, what you can do, how you use it, what information you provide to AI, what you expect to get out. I think ultimately AI fluency, in my vision, is humans and AI working together to be able to give you the best possible outcome. So if I'm a CX agent and I'm I'm a customer service agent and I'm working for Julius and Somebody calls in, add like an AI on my screen as that call comes in telling me everything about what's happened with this customer before, how I can help that person, and give me the context to be able to set that customer at ease. And learn how that will work and what steps I can take is how I see AI fluency. I mean, just knowing how to prompt, just knowing how to go to Chat VP and say, tell me a list of X, Y, and Z, that's not AI fluency anymore. We're we're we're way past the so. Julius Neil Buenconsejo: Okay, okay, my last question before I wrap it then, so fast forward from now, five years. Paint us a picture. What does the world's best AI enabled commercial organization look like? Adam: I think in five years time, AI will be a system within a business rather than a silo. I think that each system will talk to itself and you'll have an AI layer over the top. I think that the AI will replace the weekly exec meeting. I think that Julius Neil Buenconsejo: Mm-hmm. Adam: the weekly exec meeting will be reading the AI that will bring everything together from all of the departments. I think it will tell the executives, the managers, everybody else what they should be working on. That day to make the business better. I think that humans will still be in the loop. I don't think that we'll go past that. And I think that it will be walking to the systems, learning from each other, making sure that all the departments that used to be siloed are now talking to each other to make sure that the business is moving forward and being able to do that in real time. So when a deal gets set by sales and we want to know. operations, have we got enough space to do that? Have we got enough bandwidth to do that? We can see that in real time and all the systems are talking together. And I think that's where we are in five years' time. Julius Neil Buenconsejo: Okay, I just have a follow-up question. do you think AI era or the AI revolution, which industry are they going to create a new industry or what type of Adam: I think Julius Neil Buenconsejo: jobs are going to be created by this revolution? Adam: Think I think that we're gonna find a lot of more people working alongside AI, checking AI, making sure that the governments, I think that there's gonna be a shift from low level task work that's going on at the moment to a bit higher task work to make sure that AI is being done correctly. I think that we still need checks and balances within AI, and I don't think that's ever gonna change. I think that that's gonna and I think that there's gonna be new industries that come along. There's gonna be some jobs that change completely in terms of what they do, but I don't think that there's gonna be a lot of jobs where people are no longer in there. I mean, you hear the doomsayers say that is gonna disappear because AI is gonna take it over. I don't think that's gonna happen to to any industry in in fall. I think that people that don't adopt AI. and work with it quickly will be eaten by the ones that do, because I think that together AI and humans can perform so much better. But I do think that there's going to be a fundamental change in the way that we work, the way that we learn, the way that we live our lives because of AI. Julius Neil Buenconsejo: Okay, thank you for that. Okay, let's go to our rapid 10x round. Right now, I ask you 10 questions about your personal journey about AI. And my first question is, what's one AI tool you actually use every day? Adam: flawed flaud is my my go-to i i speak to flaud every day Julius Neil Buenconsejo: Okay, what's one task AI has already 10x in your life? Adam: research and synthesizing data. Julius Neil Buenconsejo: What's one human skill AI can ever replace? Adam: Empathy Julius Neil Buenconsejo: If you could automate one annoying thing forever, what would it be? Adam: Without question admin, admin, one hundred percent. Julius Neil Buenconsejo: Okay, what's the biggest misconception about AI, right? Adam: That it's all about props. Julius Neil Buenconsejo: What advice would you give someone who wants to become 10x starting today? Adam: learn to ask better questions. Julius Neil Buenconsejo: That's good. What would you tell your younger self about the future? Adam: spend t less time working hard and more time developing systems that compound over time. Julius Neil Buenconsejo: Okay, that's one good insight. So what's one book, podcast, or resource that shaped your thinking about AI or innovation? Adam: I'm the goal is a nine nineteen eighties book is still really relevant today in terms of finding the problems. Julius Neil Buenconsejo: Okay, if you had to bet one AI trend that will be massive in three years, what is it? Adam: AI or organizational intelligence across the Julius Neil Buenconsejo: Okay, no, that's good. That's massive. Okay, so my last question Adam: Yeah. Julius Neil Buenconsejo: in one sentence. What does 10xAI mean to you personally? Adam: Becoming ten times more po valuable, not ten times busier. Julius Neil Buenconsejo: Okay, so for our audiences and our listeners right now, where do people can connect you? So to learn more about your work or to learn more about Connectis, how you can help them with their companies or personal projects, how do they reach out to you? Adam: Yep. they can visit our website at www.connectus.com. They can find me on LinkedIn, Adam O'Connor, connect with me there, happy to. Or they can email me at adam.oconnor at connect us.com. Julius Neil Buenconsejo: All right. Thank you very much. So I really enjoyed our conversation. So coming from a diverse background, you've been in sales now in Chief Revenue, Chief Revenue Officer of Connectis. And also, you know, having to be in a global stage now implementing AI, your insights really adds value to the listeners and to the viewers of this episode. I really thank you for that time. And I wish I could visit Turkey one time in the future. haven't been... Yeah. Adam: Please if you if if every if ever you do, please just give me a shout, Judy. So I'll I'll come and meet you, we can we can hang out. So Julius Neil Buenconsejo: Yeah, haven't been to Turkey yet, but I'm really planning to be in Turkey. So again, thank you very much, Adam. Okay, guys, thank you for watching 10xAI. Remember, the features doesn't belong to AI. It belongs to the people who use it. See you next episode.