Episode Transcript
[00:00:00] Speaker A: Foreign.
[00:00:25] Speaker B: Welcome to another episode of Street Level Marketing. My name is Mark Lamplow and I'm your host.
I have a pretty exciting show this, you know, today I kind of went down a rabbit hole over the last couple weeks on these AI agents specifically to, you know, solve some tasks at, you know, my company.
So I, I got in touch with our guest, uh, David White. Uh, he's with CM.com and they have a, uh, a platform called Halo, which is AI agents. And you know, he's got a lot of great information I wanted to give him, you know, get him on the show and, and kind of explain what AI agents are, talk a little bit about the Halo that he, his company is offering and you know, basically talk about the solutions that, you know, he can provide companies. It's pretty wild stuff. So David, welcome to the show.
[00:01:20] Speaker A: Thank you very much, Mark. Uh, happy to, uh, happy to be on. Very excited to uh, to participate here.
[00:01:27] Speaker B: Can you for the audience, define what an AI agent, what they are and how they differ from traditional automation tools?
[00:01:36] Speaker A: Yeah, for sure.
Historically, I think most of us have had experiences with chatbots that we interface with on websites.
In the early version, I think most people had frankly a bad experience with those because they were based on a set of rules.
We refer to them as scripted bots in our business.
And essentially it was very, very labor intensive to program to set up and onboard and actually have it be something that was a, a decent experience for the end user.
This, you know, they've been around forever, 10 years, 12, 15 years or so as of the last couple of years.
What's very interesting about this whole AI revolution is it's allowed companies like CM.com to build some really exciting tools that can solve critical business issues for brands of all shapes and sizes.
So about a year and a half ago we actually launched and debuted are the next evolution of chatbot that frankly exists on your website, on the front page and we feel is the gateway to your brand.
And that was a generative chatbot, meaning that you could feed it a resource pool of information so uploading PDFs or JSON files and really keep it contained within your company or within your brand so that it could maintain company culture, speak to constituents and potential customers and prospects in the way that you as a brand manager would want that dialogue and that communication to happen, which was fantastic because it could go and search a database and present back to a customer the appropriate information. So for an external use case, let's say, hey, is this T shirt available in red? Well, it could Go and grab a resource like an inventory list and come back and say, yes, this shirt is available in red and it's available in these sizes in our current inventory, which is fantastic. That in and of itself is kind of game breaking and game changing. So I think that a lot of brands are kind of moving towards that if they haven't adopted that already.
We're also seeing a lot of internal use cases for generative AI. So again, for the audience, generative AI is basically going and retrieving that information and presenting it back.
Fast forward to what's being offered today by CM.com as well as other providers is what we call agentic AI. So in addition to the generative piece where you're going and retrieving information, now the agent is able to actually take action.
So the equivalent, for those of you who are getting accustomed to ChatGPT and prompting with AI and these large language models, we wanted to give our customers the ability to very quickly, very easily, with no development experience, very easy to use UI to go in and build an agent.
Maybe you wanted to build a haberdasher agent. If you're a textile retailer within your e commerce website, you could very quickly build a habit Azure agent that can now do API calls and access other tools within your organization or even externally, perhaps one of your suppliers has an open API and the haberdasher agent that you build could access that, grab that information, retrieve it back and present it to the customer, all in a very conversational fashion.
The way that we position our agentic AI is you want to train and you want to set it up and essentially program it and treat it the same way you would a new employee. Right. So if you hired an intern, haberdasher, if you will, what are all of the workflows and tasks that you would have this individual within your company do? Well, we can do a lot of those things now right on the website, all driven through AI automatically. So again, the biggest difference, you get generative, which is retrieving and presenting versus agentic, which is retrieving, presenting and taking action, which is what is so kind of groundbreaking about this newest, latest offering in the marketplace.
[00:06:36] Speaker B: Yeah.
What are some of the key components that make an AI agent effective in a business setting?
[00:06:43] Speaker A: Well, in a business setting, I think there's a few things to take into consideration.
There's always the need for your information and your data to be secure. So those are common questions that we're fielding on a daily basis. So you want to make certain that you're doing business With a company that is well established, that has been around for a while, the more transparency in that company, the better. So I mean we're a publicly traded firm thankfully. I think this would be a very, very difficult proposition if we were some startup that just coded up an agentic AI bot.
You could see our financial stability, you could see our track record that is deep rooted in the business messaging business of SMS and WhatsApp and all of the other business messaging related channels.
So security is a big 1.
Maintaining compliance GDPR.
Within the Agentic AI platform itself, there may be some use cases like we just set up a travel agent bot.
So this is an internal use case, but instead of going to a third party app or going to Travelocity or Google flights and searching for your own airfare, searching for the best pricing and then having to book your hotel, perhaps your rental car, our client wanted to set up a halo agent that could basically do all of that and execute fundamentally. However, this company had some, some rules and some guidelines.
If a airplane ticket was over a certain amount of money, it had to go to, you know, the up through the proper channels for financial approval for, for that or if something was out of policy from a hotel standpoint, maybe they're the only property available in the immediate vicinity was a luxury hotel. And that's, that's simply out of company guidelines. So those approvals, I think it's a good thing for the platform to have those built in from a governance standpoint. And that's something that, you know, I'm very grateful that our product managers had the, the foresight to build in to our platform as well. So those approval flows can, can happen if you think about, you know, travel is one example, but could be HR related, it could be financial approval related where you could use the agent to take it to a certain level. But then also there's, there's that human interaction and approval for that process flow to complete.
[00:09:33] Speaker B: What are some of the common misconceptions about AI agents, you know, currently?
[00:09:39] Speaker A: Yeah, this is so new, Mark. You know there, there, there's like the companies that are starting to adopt it right now are, I would say, I wouldn't say they're bleeding edge, but they're, they're certainly, certainly cutting edge. And you know, I equate it to the early adopters, the early buyers of Bitcoin. You know, everybody thought, oh this is too dangerous.
You know, it's, it's, it's for drug dealers and the cartels and that sort of thing.
But you look at the price of Bitcoin right now. And, and now it's, it's being, you know, debated whether or not this is going to be, you know, the new gold standard around the world for, for, for finance and commerce.
So the, the, the early adopters of this technology, we truly believe are going to put their brands way ahead of the curve because it's, it's going to be so prevalent that, you know, it's, it's, and the technology has improved so much that the bad experiences of the past with some of the older scripted chatbots, for instance, or the, the chats where they're supposed to be manned by a live human being, but they're really not because the company had some workforce issues.
Those experiences are out the door because the experiences now with, with products such as Halo are really, really, really good.
And, and you know, we know as a company that we've made it. When you can't tell whether or not you're interacting with an employee behind the keyboard or you're interacting with an agent, that GI Bot.
[00:11:16] Speaker B: Come out of the, you know, we're running out of time on this particular segment, so we're going to be going to a commercial break, but when we come back, you know, I want to take a little bit deeper, dive into, you know, CM's Halo platform and some of its unique offer, you know, offerings.
So stand by. We'll be back after a work from these sponsors.
Welcome back to Street Level Marketing with your host, Mark Landloop. I'm here with David White from CM.com and we're talking about AI agents and his platform Halo, you know, from his company CM.com. david, what inspired the development of the Halo platform at CM.com so we started.
[00:12:06] Speaker A: Off 25 years ago as a, as a messaging company. So we wanted to bring business messaging and help brands communicate with their customers through messaging channels such as SMS and WhatsApp to reach them on the mobile device. And then we got asked, hey, can you help us with marketing? We want to send marketing messages to drive traffic to our website or to drive sales. So we built a platform for marketing.
Then you sell something, you've got to provide a superior level of customer service. We were asked, hey, can you guys build a platform that can help me interface with my customers, whether it's a web conversation or over a channel, but we want to do it with a live person behind the keyboard to provide a superior level of customer service. We built mobile service cloud. We figured, we've got everything covered now. Then the next ask is, hey, can you Build, build us a bot on the website that can take some of the, alleviate some of the workload off of our contact center and off of our people so that they can have more meaningful face to face conversations or deeper level troubleshooting conversations with whatever the particular use case was. So we built conversational AI cloud, which was scripted bot in form to start.
But as I mentioned earlier in the show, Mark, it's evolved over time. Going from scripted bot to mean literally having every line program to generative, which is okay. It's going to go recall, retrieve and recall and present information from within your company.
And now with the latest version of Agentic taking action again, it's super exciting.
There's a lot of platforms out there.
Again, the way that we've built and designed ours, leaning on our 25 years of business experience I think is one of the differentiators that we do have.
[00:14:09] Speaker B: Yeah.
Now what are some of the ways that the Halo platform, this goes for really any type of platform.
How does it integrate with the existing business systems of a business and their workflows?
[00:14:23] Speaker A: Yeah, great question.
We wanted to make it very easy to get Halo into action for your business. We actually designed some AI within the tool to help you set this up. We've got a library of pre built templates or pre built agents that you can select and then modify.
But essentially when you think about, you know, really getting it deeply rooted within your business and within your business processes, you just, you've got to let Halo have the exposure and the access to your resources and tooling. So if you use, you know, certain databases, for instance, for all of your point of sale transaction records, if you use, you know, cloud type sharing like Microsoft SharePoint for instance, for storing customer critical data, if you use third party tooling like for CRMs, or it could be a third party sales platform, or it could be a marketing platform or subscription that you have. As long as it has an API, whether that's free or paid for, we can access it.
[00:15:50] Speaker B: Nice.
What do you think sets Halo up from some of the other AI agent platforms in the market?
[00:16:00] Speaker A: What differentiates Halo?
We believe it's interaction within our entire customer journey platform.
Halo can integrate with our mobile marketing cloud, it can integrate with our customer data platform. So we believe as a company wholeheartedly that brands need to be able to meet their customers in the channel of their choice.
So when you talk about buying power in the generational demographics, some of the baby boomers, they prefer a phone call or that face to face interaction. But I can promise you if you want to get a hold of or interact with my 17 year old daughter, you better be on Instagram. And she communicates almost solely in Instagram messenger, not only with her friends but with brands. And my daughter's actually a brand ambassador so I know this to be factual. So it's all about creating a personalized experience for the individual and not subjecting your entire customer base to here's our blanket email marketing. So Halo interacts with the marketing side, the CDP for that segmentation and for that personalization to really know who your customer is and what their preferences are as well as the support side on the back end. One of the things that really separates Halo there, it seems like every week there's a new LLM upgrade. The newest, you know, newest iteration of Deep Seek OR Cloud or GPT 5.0 or whatever it is. It is hard to keep up with all those. So we want to take that, that anxiety off the plate of our customers and, and really just have them rest assured that on the back end of Halo we're going to always have best of breed LLM access already pre built in. So that, that means that as these changes take place in the market and within our industry, we're plugging them in automatically to the back end to make sure that our customers have that superior experience with agent through Halo.
[00:18:16] Speaker B: Yeah, I know this, you know thinking about this and especially I'm in the auto industry so you know we're dealing with a lot of customers, you know, personal information, maybe credit card information.
How does Halo ensure data privacy and you know, and stay up to date on the compliances.
[00:18:36] Speaker A: Yeah, so being a European company we are subjected to GDPR compliance. So even, even more stringent than, than what is required here in the US and in, in greater North America.
In addition to that there, there's built in privacy, PII tagging that can be accomplished, role based access that can be accomplished within Halo as well as the ability to segment that private customer data so that it's again only accessible to those within the organization that should have the access.
A lot of that impotence is on the customer is on the customer to make sure that it's set up properly that just like any other tool within an organization. So you wouldn't give everybody in the company access to active directory in Microsoft. Right. So that's typically within your IT department and there's specific titles and roles that have those permissions. Halo and most agentic AI platforms are going to work the same.
[00:19:48] Speaker B: Okay. Yeah. Do you what type of support do you provide a business that would be adopting the platform. Is this one of those things where it's like monthly or are you involved pretty much throughout the whole process from.
[00:20:01] Speaker A: A support standpoint, I mean, we see customers of, you know, all shapes and sizes. Obviously we offer 24, 7 break fix support worldwide. So there's always somebody that can, that can, you know, respond to an incident or answer a break fix type of a question.
Here in the US we have a locally based support crew that is available Monday through Friday, 7am to 6pm Eastern Standard Time, where, you know, more in depth kind of questions can, can be answered relative to the account itself.
We also offer free onboarding as well as subscription based professional services.
If there is an integration that needs to take place where we actually have to work with the client to build some code or work with their third party to build some code. If it's going to benefit more than 1cm potential CM customer, we're probably going to end up building that free of charge.
However, it's something very, very specific to that business itself.
There may be a professional service charge to get it set up, but you know, we're getting Halo customers set up in as quickly as 48 hours with, with no integrations. We can get that, you know, going live on your website, provide them with access to, to the tools. The hard part we find is really helping customers get creative with their workflows, get creative with their business processes because there's so many paradigms that exist in all businesses. You're in the car dealership business.
I'm sure you can, you can appreciate and understand that as you're kind of unpacking everything that's going on and why are we doing this a certain way and why are our sales guys calling this way or how are they getting this information or this lead from, from marketing? And I think that that's, that's prudent because the reality is, you know, this, this type of, of tooling and automation is a game changer and it should allow a business to wipe the slate clean and say, hey, if I were to hand you a magic wand and you can change anything and create something ideally the way that you want it to function today, how would it go? What would that look like? And let's let Halo try to build it.
It's very, very exciting. But that creative piece is what we're finding to be the hardest part.
[00:22:32] Speaker B: Yeah, we're coming out of time here for our next commercial break, but when we come back, I want to, you know, talk a little bit More about some of the real world applications and maybe some success stories that you can share. So we'll be back after a while from our sponsors.
Welcome back to Street Level Marketing with your host Mark Lamplugh. I'm here with David White from CM.com talking about his platform Halo. And you know, we all wanted to get in some real world applications and some of these success stories that way there, you know, the viewers can kind of see some of these applications actually, you know, how they actually work and the problems that they saw. Can you share a case study where an AI agent dramatically improved customer service?
[00:23:31] Speaker A: Yeah, I can't share any names due to confidentiality, but we have a lot of large, what are called msp. So they're providing, whether it's an IT value service or monitoring or kind of outsourced help desk. But just let's take a standard support, you know. So on any website, if you're a utility or you're providing some kind of customer experience for Break Fix, for instance, we have a client that is a very large moving and storage company throughout the US They've got a few locations and if you know, you're a customer, if you're a franchisee or if you're a corporately owned store, then you've got a series, you've got a myriad of potential IT issues that could happen on a daily basis within the four walls of your store. So it could be the security system, the physical door security, it could be the cameras, it could be the point of sale, it could be the inventory software program.
There's just so many things within a store IT related you wouldn't normally think about it. So if you're a franchisee and you're having a hard time getting something to work, our client typically would have, before they met us, they were picking up the phone and they were calling into essentially a contact center queue or a help desk within their own company's it. So this is an internal use case, but could, could, could easily be executed externally as well.
And their, their customer, they would have to sit on, on, you know, in a queue waiting.
Meanwhile they've got, you know, a live body in front of them who's getting frustrated because the, the, the credit card machine is not working or the software on their, on their computer is not working and they just, they're, they're almost in panic mode. Well, we, we implemented our generative AI bot and, and now the stores basically just go to, go to an agent and they, they type in what their issue is and all of those Resources. If you think about the frequently asked questions that every company deals with on a daily basis, and there's typically a finite number of those questions, like it could be 12, it could be 15 or 18 or even 25. But if, if the bot has access to the appropriate answers to those questions, hey, have you, you know, please try restarting, you know, the, the computer or go to this, this platform and type in this, check for green lights on this device or that device, make sure the door is locked, go back in the, in the back, you know, corner office and, and, and reboot this unplug plug back in.
The bot is actually able to walk the customer through those kinds of challenges and we're actually working with them now on implementing agentic AI through Halo into those same workflows. But even from a generative standpoint, what it's done for the company overall is it's freed up a handful of those contact center, highly paid, well trained IT individuals to work on real problems, to work on issues that require a deeper level of thinking to, to work on actual live, face to face or, or live chat troubleshooting with those customers. So we're seeing upwards of 72% success by leveraging both generative and agentic AI. So, and we're just scratching the surface. There's so many use cases, I think, you know, we introduced even some to yourself this past week on how it can help a dealership sell more cars while providing a more reliable and an improved customer experience.
And as the younger generation has the buying power and they continue to, to come up with that buying power, this is exactly how they're expecting to communicate with brands. And brands can either kind of go against the tide or, or they can start to embrace. And to what level or what degree, you know, every brand chooses to embrace is, is certainly their prerogative, but it's, it's getting really interesting with how brands are starting to push the, in the, the envelope as the trust continues to build.
[00:28:21] Speaker B: Yeah. What are some of the challenges a business might face during the initial implementation of agents?
[00:28:31] Speaker A: I think that's, you know, expectations being, being too high in terms of this is just going to take the place of, of a human. And I know that there's a lot of fear, uncertainty and doubt and there's, there's fear mongers all over the Internet that AI is coming for your job.
We believe that AI is not coming for your job. But if you're a person that is not embracing AI in some way, shape or form, then you definitely could be at risk Because AI is only going to continue to get better.
But in terms of challenges that we're seeing, there are simple things like access in terms of it may be an additional paid subscription they have to buy if they want the API and the information to be presented a certain way.
But really the challenging part is getting the customer to commit to their workflows and then actually implement them. And then the internal, there's a lot of internal resistance I think that we see from time to time to typically at the, you know, within middle management or you know, within, within some of the employees that are kind of reluctant to change. And I think as human beings we're all reluctant to change to a certain extent.
No, nobody likes change, but the reality is it's coming and, and our message is, hey, you know, you, you wanna, you wanna be one of the individuals that, you know, within your organization that has not only embraced it, but you've become a subject matter expert in getting it to do things that, that can make your job easier, whether that be the receptionist.
Think about how many more face to face interactions or trips to the coffee machine you can make at a car dealership and really start to get to know your customer instead of being stuck or glued to the phone or stuck and glued to the keyboard and having that, that individual wander around your sales floor. Right. So those are the kinds of things that we're looking to, to improve and we're already starting to see and we're getting a lot of that feedback already.
[00:30:40] Speaker B: Yeah, I'm sort of similar to you in the sense I don't think AI is going to take over jobs, but I think you, you have to learn to adopt it in your, your everyday life. As you know, I do. You know, even going down like a marketing agency 10 years ago may have had five clients at a higher monthly service amount, where now you might take 20 clients at a lower service amount. But you're able to do much more with applying some of these agents and things like that. So it's really changing your business model around adopting some of these things.
Speaking of the marketing aspect, how do the AI agents contribute to like personal marketing strategies?
[00:31:26] Speaker A: Wow, there's a laundry list of potential agents. So you think about lead generation.
You could create a sales development rep agent that can do some reverse scrapes on websites or interface with tooling like Google or within Facebook or any of the meta apps.
You could have it integrate directly and take action within your CRM or within databases out there that exist that know who some of your website visitors might be there Are there are so many things content.
You could, you could set up agents that could, that could generate and write content for you to publish on social media.
You could, you could have agents dip your inventory database and come up with exciting offers from a sales standpoint or generate newsletters or send out text messages to get existing customers to come back in your store. So you know, the best use cases that we see are the ones that get really, really personalized and help brands go after those, those customers that first party data specifically to get them back to buy another piece of garment. So, or, or, or a car or whatever it is that that brand is, is selling because they feel like the brand really knows you.
So if, if you know me, you know, I like the color blue. You know, I'm a size large in a, in a, in a shirt, I'm a 40 long in a, in a sport coat and I like shoes that are, that are traditional brown or gray.
If you know those things about me and your marketing, your brand is sending me emails, newsletters, text messages, even WhatsApp messages that are really singing to, you know, what appeals to me. I could care less about, you know, whatever you're marketing to women. I mean, unless it's like coming up to mother's day like this week or, or my wife's birthday for instance, I don't look at that stuff. I don't care. So I, I think that brands are going to have to think about what they can do and, and how agentic agents can, can help make this easier on them because most companies simply don't have the ability to hire unlimited opex right for, for new headcount.
So as much as you would love to grow your marketing team, Mark, you know, you may be at budget for, for the help that you can hire. I think that AI agents are a great alternative at least as a starting point. Look, if an AI agent can get you to 70, 80% of the way there and then it takes your oversight or your fine tuning, you're going to accomplish a heck of a lot more with less.
[00:34:27] Speaker B: Yeah. Yeah. I'm currently, you know, using AI a lot for tasks now and now exploring the implementation of these AI agents.
When we come back, you know, I want to, you know, touch about the future of AI agents and you know, maybe what's coming down the line or what you foresee, you know, in this, in this space over the next five years.
So we'll be back after a word from our sponsors.
[00:34:55] Speaker A: Sounds good. Foreign.
[00:35:06] Speaker B: Welcome back to Street Level Marketing with your host, Mark Lamplugh. I'm here with David White from CM.com and we're talking about AI agents and implementing these agents in businesses and how they can pretty much solve a lot of complex issues, helps, you know, do tasks for business, everyday tasks for businesses. And you know, I really wanted to kind of, you know, say this last segment to talk about the future and I, I, it's probably really hard to really know what the future seem, you know, is going to bring. It's, everything's changing so fast over the last couple years.
What advance advancements do you foresee in AI Asian technology over the next five years?
[00:35:50] Speaker A: I think, I think as the, as the back end LLMs continue to improve, I mean some of the things that, some of the video creation and the, just the, the imagery improvements that are, that are taking place, it is happening at a very, very rapid pace.
As far as CM goes and in our product roadmap, I think that, you know, we're, I know that we're developing an AI voice option to a company or to be integrated within Halo.
So I think we're shooting for end of the year in terms of a launch improvement on that.
I know that we're going to continue to see AI type enhancements within the social media apps and the tools that we're already using as consumers on a daily basis. On your iPhone, it's now built into Siri.
Meta has their own, we're going to see, you know, rich messaging really start to come alive, particularly in the US with Google RCS now being integrated into iMessage and within the iPhone. And AI is going to have, you know, it's going to play a larger role in that. So I think just overall, as the, as the technology continues to improve, the trust will, will also improve. And, and I think that, you know, we're, we're, as the trust improves, you're gonna see, you're gonna see the early adopters, you know, kind of, they're going to be ahead of the curve and their brands are going to hopefully stay ahead of the curve, at least that's what we're predicting. And then you're, you're going to see just mass adoption. You know, you're going to have CEOs flying to, into a market, they're on a plane and, and they're going to read this article or they're going to have this experience and they're going to call their team and say, hey, why don't we have this? Where's ours? What are we doing? What's the plan? I want this I want this, you know, live on our site by Wednesday and we're already starting to see some of that. So it's, you know, market's happening very, very quickly. I, I could speculate all day, but that's all it would be, is speculation. All I know is I am, I feel truly blessed and that I'm in this business, I'm in this industry.
I, I think that it's, it's, it's really, really cool and, and I can't, I can't pontificate enough to, you know, my own kids and everybody that, that I interact with, you know, to, to begin to learn AI. It's not so scary, it's not so bad.
You know, I was, I was talking to my wife, she's trying to plan a vacation. I'm like, try it, just try Chat GPT and, and talk to Chat GPT like it's a person and give it a roll and say, you know, we, we want to visit Yellowstone National Park. We're visiting during this time frame. We're going to be traveling with our 10 year old son. What are the coolest experience we can give them and plan our itinerary for us. And she was completely blown away. She's like, oh my gosh. Not only that, but it found me the cheapest airfare in this. I'm like, see, there you go honey.
That's, that's, that's AI in action, making your life easier. So very excited about the future.
[00:39:06] Speaker B: Mark, what are some of the ethical considerations businesses should keep in mind when deploying these AI agents?
[00:39:16] Speaker A: Yeah, ethical considerations abound. Right. So obviously you want to use AI to run your business above board.
Hopefully, you know, it's, it's just, I think, you know, one of the things that we are, you know, starting to read about are, are the deep fakes.
You know, you could be on a call like this and there's gonna have to be some kind of visual verification, some kind of audio verification. Is that really David White from CM.com that you're speaking to? Is that really his, his voice?
That's, I think, you know, we're going to have to have some governance around, around that because that could pose problems especially with the, you know, we're in an age where it's, you know, look at my iPhone and it opens up your app without putting in a passcode with face recognition. I think we're going to have to rethink a lot of those kinds of things as we continue on this AI journey and businesses need to be aware of Those.
[00:40:21] Speaker B: Yeah.
Do you, how do you see these agents integrating with like some of these emergent emerging technologies like AR and VR?
[00:40:33] Speaker A: Yeah, I, I think that, you know that those development sprits are already fully underway for sure.
You know, I think that, you know, when, when you brands like, you know, I'm not going to name the brand names, but there's a lot of brands that, let's say if you're the manufacturer of paint and you want to provide a virtual reality experience to show a client what their room looks like, those are not going to be human beings that are uploading that or doing all of that. Right. Those are going to be handled by AI, more than likely.
And again, as the algorithms improve, as the speed and the processing speed, I think our backend infrastructure with, with behind the scenes, the, if you look at the construction of data centers and what you know, Elon Musk is doing and companies like Nvidia, they, they can't produce quickly enough. They can't, they can't improve quickly enough.
And, and I think we may plateau at some point and then I think it'll be, you know, a number of years before know, another breakthrough, like a monumental breakthrough happens or occurs again.
And if you look back historically at AI, that's kind of been the, the trend. So we'll see. Purely speculative on, on my part, but yeah, it's, it's exciting to see where the future is going to take us.
[00:42:05] Speaker B: Yeah, I, I just saw last week this NBA thing that's coming out on the Apple VR where you're going to be able to see the game. Yeah, on that, on court, you know, on the tabletop.
[00:42:18] Speaker A: Yeah, yeah. And I mean Meta's got glasses and their partnership with Ray Ban and so forth. So it's, it's, yeah, it's, it's gonna be, get really, really interesting. I just, you know, my, my biggest fear and, and I battle with my own, you know, being, being a kid of the 80s and 90s growing up, how much is too much?
And they're already selling physical devices that disable your phone now.
And I see it with kids, right. So I had to have a conversation with my 9 year old and 10 year old son. They had a friend come over the other day and it was a beautiful day outside to go outside and throw the ball around or go to ride your bike. And they turned their friend away because they wanted to do something in front of a screen. And that's where I was like, okay, gotta draw the line here guys. Gotta limit this now. And, and Clamp down even more so.
So I think it's, it's good for you know, all of us humans to have a healthy balance of technology and, and good old fashioned human to human interaction.
[00:43:24] Speaker B: Yeah. I mean in the future, I mean, how important do you think the human oversight is in the functioning of these agents?
[00:43:32] Speaker A: It really depends, I think how far, you know, we, we, we want to allow them to go. I think that they're, you know, there are going to be industries that are completely uprooted for sure and even industries and professions that we thought were, you know, just AI proof if you will. But I mean I look at, look at the, the industry of the legal industry there, there, you know, if you want to draft a purchase agreement, the traditional method would have been contact your family attorney a few years ago. You can now go to an app or legal Zoom and you know, pay for a subscription or a one time charge and have a document drafted for you. Now you can just go to chat JPT and say, hey, I need a purchase agreement to acquire a piece of property. I am in the state of Michigan. Please, you know, apply all, all state, local, county government rules within the document and boom, there you go, you, you, you print and you're ready to go. And that's all, you know, relatively free.
So what, what does that do to the lawyer that you know that just graduated from Harvard and, and they're trying to enter corporate America. So I think that at some point, depending on how far AI goes and how disruptive it is, there, there could be a world similar to, you know, the nuclear proliferation treaty that we have and basically a universal agreement with, with all, all the major, you know, economically secure countries that this is how we're going to use it. These are the, these are the bumper guards, this is the ceiling, this is the floor. This is what's allowed, this is what's not allowed.
Otherwise it could, you know, eventually take companies into, into deep recession if, if, if not managed.
[00:45:27] Speaker B: Well, we're about out of time. I want to give you time to, you know, share your info. I mean, yeah, a lot of this stuff is great. I know just in the marketing aspect that the use cases for this seem endless, you know, for some of the tasks. And you know, I was talking about creating pages for SEO on the website. It takes 45 minutes for, you know, a human to do it, you know, where you can do it with an agent, you know, and it's just amazing. So yeah, give, give the, a little bit of the information. How do people contact you? How can they get a hold of your company?
[00:46:02] Speaker A: Sure, sure. Yeah. I think we've got one of the easiest websites to remember and that is cm.com so you can, you can look us up on cm.com you could, you can go through the website, investigate all the products that we offer within our platform, whether you're interested in sending messages, text messages, or you're interested in Halo. If you do, if you do, visit our Halo page and you sign up to speak or fill out the form to speak with one of my guys or gals, I'll send you a free bag of coffee that is, that is branded as Halo. As a, as a thank you from, from me and, and our company to you for giving us time out of your day to show you how agentic AI and Halo can help you build your brand and, and make your business run a little bit more efficiently.
[00:46:53] Speaker B: Right. Thanks. Thanks for coming on the show again, David.
Stay tuned for, you know, next week on Street Level Marketing.
[00:47:03] Speaker A: Thanks, Mark. Appreciate the opportunity. Bye bye everybody.
[00:47:06] Speaker B: Thank you.
