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IIIMPACT is a Product UX Design and Development Strategy Consulting Agency.
We emphasize strategic planning, intuitive UX design, and better collaboration between business, design to development. By integrating best practices with our clients, we not only speed up market entry but also enhance the overall quality of software products. We help our clients launch better products, faster.
We explore topics about product, strategy, design and development. Hear stories and learnings on how our experienced team has helped launch 100s of software products in almost every industry vertical.
Friend AI, you know, these kind of personal assistants, it's it's seems very dystopian. It's preying on people who are highly lonely, just like the movie Her. And I think having this, I don't know why you just wouldn't use your phone. A lot
Speaker 2:of the AI integration is is easy. It's a process change that's actually the difficult part. So we've obviously like we always said, there's this AI explosion, and they're just this plethora or it's kind of like a vertical quarter copier of tools that could be integrated into a company, and it can make a huge difference. Like, there's a lot of there are a lot of quick wins that you can leverage AI for.
Speaker 3:My kind of feeling on it is you can always bolt on AI onto existing processes, and it will work, and you might get some quick wins. But long term, you really want to actually be a bit more strategic about it and sort of look at your processes and see, okay, how can we actually make AI the fundamental part of those processes and not just sitting on top of them?
Speaker 1:Hey, everybody. Welcome back to another episode of the user and experience. I'm your host, Makoto Kern, and I've got Brinley and Joe here, our integration AI integration team.
Speaker 2:Good to be back.
Speaker 3:And,
Speaker 1:and today, we have some interesting topics to discuss, and I think I'll kick it off already with some, some of the latest news that, has been out there. I think starting off with, the Runway text to video generator. I've been playing around with that a little bit. It's been interesting. Just recently, they launched the the gen 3 alpha actually, gen 3, and then now the gen 3 alpha.
Speaker 1:It's supposed to be actually about 3 to 7 times faster from my understanding, and I've seen some some, examples of it. I played around with it a bit. It's definitely, you know, some of the
Speaker 2:So no feature film from you, Makoto? Is there feature film from you coming out?
Speaker 1:Not yet.
Speaker 3:Not yet. Okay.
Speaker 1:Probably some kind of deep fake that will come out because of, you know, my my me being so famous and all. But but, yeah, I mean, that actually, that's an interesting other point that I'll I'll make. But, you know, playing around with that video, it's definitely I think you you're getting what is it? A 1,000 credits for, like, a 100 seconds of the gen 3
Speaker 3:for
Speaker 1:it's about a dollar a second of video. Mhmm. So it's a little bit expensive. And the you know, what I've seen is it's kinda interesting between the two. It's definitely faster than the new alpha version, but, you know, you have to do a lot of testing.
Speaker 1:So that I think that's gonna this is where it gets kind of expensive. You know, with Midjourney, you could sit there and just plug and play all day until you get the right thing, and they won't charge you extra. But with this, it's definitely more, more costly.
Speaker 2:And what's the processing time like? What are you looking at in terms of requesting something?
Speaker 1:So, like, a tense So it's like a 10 second video I've seen with turbo. It's probably about 20 seconds. And for the same video in the normal alpha, where gen 3 alpha is, it's about a minute and a half.
Speaker 2:And is that low res significant. Or is
Speaker 1:it is it high res? It's high res. Okay. And, you know, I'm sure it's it's gonna depend on what you're asking and and things like that, which is interesting. But, yeah, it's, you know, this gets into some of the what I saw on the news too is that I think it was California that they're trying to they're trying to, shut down these sites that show the deep fakes of people, like pornography sites of people on different, you know, compromising videos, but it's not them.
Speaker 1:So I think that's a good thing that they're they're trying to do that.
Speaker 3:Yeah. Yeah. There's even been some some things going on there with the elections recently. Some, you know, defakes and fake images being thrown up and becomes all political very quickly because people think that they're real. And, yeah, there's a whole movement to to try and get those banned.
Speaker 3:But, I mean, they're so easy to create and so easy to throw up there and hard to disprove. So, yeah, it's kind of like an arms race trying to, like, figure out what's fake and what's real, which isn't a great thing, you know, when it when it's when it's something as heated as, you know, something like, you know, political parties and things like that. And
Speaker 2:Yes. Yeah.
Speaker 3:Yeah. We'll see where it goes. I know there's there's a whole bunch of efforts to try and, you know, tag images like that. I mean, technically, Twitter would need to do something around that where they any image that gets upload needs to get sort of an AI pass that confirms if it's, you know, an AI image or not and tags it as such. But don't know if he's if he's gonna do that, but that's what they should do.
Speaker 1:Yeah. I like the fact check. Not to go off too too much of a tangent, but I like the fact checking of of your ex as well to at least for the the cop the text type of postings. But, yeah, the video would be tremendous to help because people are so gullible.
Speaker 2:And, Makoto, how did you find, when we're looking at at Soarer? A lot of the initial things that the quality was impressive, but it made the AI made mistakes with additional fingers and, you know
Speaker 1:Yep.
Speaker 2:Things additional legs coming into a walk cycle. Did you find anything, like, that you were working with? You you spotted anything like that or noticed that, you know, with this particular No.
Speaker 1:I didn't see anything. It it seemed to render people and and that kind of detail pretty well. I know that and this is probably somewhat old news is that Sora's video generation was was edited by a video. It wasn't actually done by the actual AI, so there's been some But that
Speaker 2:was just that was editing. Right?
Speaker 3:Yeah.
Speaker 2:The the
Speaker 3:Yeah.
Speaker 2:It wasn't the footage created, but they cut it in terms of so their their raw footage because you still gotta think, like, if this is a raw generation a raw footage generation tool, or these are tools that do that, that's really what you get out of the camera if you're filming a movie. You're going to film a long cut of something, and it's up to the editor to take that raw footage and cut it. So I don't you know, if the actual footage was was cut, they never said that it was a a whole kind of edit suite.
Speaker 3:Yeah.
Speaker 2:But it's amazing to be able to generate that. Something that would have, I mean, I remember the source kind of astronaut with the knitted hat in the in the desert and some amazing footage and kind of giving it specific, like, millimeters of the film. You know, that is that would cost a lot to be able to actually shoot in real life. So that's still pretty impressive.
Speaker 3:Yeah. It's interesting I haven't seen
Speaker 1:Oh, go ahead.
Speaker 3:So, yeah, I was gonna say I haven't seen too many since then. It's been weird. Like, when it first announced, like, we saw those initial clips and they're pretty mind blowing. And I thought they would release more as time goes. So we're showcasing more and more of it.
Speaker 3:But they seem to have gone a bit quiet or maybe I'm just not following the right sort of articles that would show that. But I don't know if you guys have seen much more around Soro and what it's capable of.
Speaker 1:I've seen some commercials, here in the, you know, in the States, that is definitely AI generated where they're showing AI generated people morphing into other people and things like that where they're I forgot what which commercial product it was for, but,
Speaker 3:shows how memorable that is. But Yeah.
Speaker 1:It definitely they're gonna use that. I'm curious about how that that will affect actors, actresses, and things like that. I mean, their job's gonna get replaced if that's I mean, I've seen actually, I think it I think it was runway too where they're showing a human person standing in front, almost like a TED Talk. I don't know if you've seen that. It's kind of been going viral, but it looks it doesn't look like your mid journey type of generation, but it looks real.
Speaker 1:Mhmm. Okay.
Speaker 3:So Yeah. So I wonder I wonder when it comes to things like this, you know, it dimmers very well. But, you know, when they try and scale it out to, you know, that millions of users can actually use it, they kind of realize that the infrastructure probably isn't there yet and the processing power that they need. And they kind of gone quiet about it until they can figure out how to how to release it in a way that that, yeah, allows people to use it. And I guess one way, which is what you encounter, is just cost, you know, just put a large cost to it to make it sort of only used by people who really wanna use it, not just by everyone.
Speaker 3:But that's kind of what happened with the voice, voice thing too when that was announced. Open eyes, you know, real time voice interaction with the head that we discussed in the last podcast. And that was really amazing, but they've gone quiet about it for months. And they keep saying, I keep seeing posts from them saying, you know, we're ready to release it next month. We can roll it out like, initial users, and everyone's gonna get it soon.
Speaker 3:And just like, I don't know, a single person has it yet. So maybe those initial users are, like, 10 users. And, again, it just comes down to, like, the processing power needed for that and the infrastructure. And so, yeah, it's always interesting to kind of see when you see these really cool things. Well, that's cool, but I wonder how long it will take until, like, you know, we can actually use it ourselves.
Speaker 3:And it's not really sometimes a technical limitation, just, you know, infrastructure that sort of limits around that.
Speaker 1:Yeah. Yeah. I think also as each new release is available, it seems like there's probably a smaller and smaller gap, almost like between the iPhone 1 to iPhone 2 versus iPhone 15 to iPhone 16. You know? Maybe there's slight improvements between the versions, and now we're getting already towards not plateauing, but a slower gap of a of a difference between each release.
Speaker 1:But who knows? Yep. It's it seems to be that way, maybe.
Speaker 2:Yeah. It'd be interesting to
Speaker 3:So do you have anything to share that you've created yet that you could post up somewhere? And let us see. Yeah.
Speaker 1:I was trying to play with the yeah. I was actually trying to play with our logo and trying to animate our logo. This thing turning into where is it right here? This thing turning into a person and kind of busting out. And so and I was trying to do, like, a a drone fly by into it.
Speaker 1:Just trying to play with that and wasn't quite what I wanted. It was interesting to see, but that's where, again, it gets expensive if I start to play with that. I mean, I'll I'll burn through the the money really quick with just you know, I think I did, like, 4 or 5 iterations.
Speaker 3:Mhmm. Okay.
Speaker 1:But I'm I I've gotta play more with the turbo for sure.
Speaker 2:Yeah. That's pretty cool.
Speaker 3:That's cool.
Speaker 2:Interesting to get tabs
Speaker 3:on it.
Speaker 1:For sure. I think the only other thing I have for news is the, you know, the friend AI. This is goes along the lines with some of the technology. I think it's the rabbit as well. Friend AI, you know, these kind of personal assistants where it's it's seems very dystopian, preying on people who are probably lonely just like the movie her.
Speaker 1:And I think having this, I don't know why you just wouldn't use your phone. I mean, when when, chat gpt, the new one came out, you know, I was sitting in the car and talking to it for about 20, 30 minutes, and it was it was actually quite engaging with that. And I would just use my phone because I carry that all the time versus having this pendant that's talking to you, which makes you just Yeah. You know, like like, a little bit more weird, this thing glowing and and talking while you're out out in public. Yeah.
Speaker 3:Exactly. Yeah.
Speaker 2:Yeah. I know. Yeah. That's gonna be super old, I mean. I mean, how can you go to a shop or something, and you're like, oh, sorry.
Speaker 2:Were you talking to me? No. No. I'll send it to my friend. Yeah.
Speaker 2:Get to my
Speaker 3:chest here. Okay. No problem. Good luck. Yeah.
Speaker 1:I think that pin AI was another one that was developed by some x Apple people. That one's been getting a lot of hate as well. I think it's it's having more returns and purchases. And so, like, I I it just seems like the the UI or the interactions with that thing is is still not that great.
Speaker 2:What is supposed to be a visual aspect to it, so I could actually see some of the things you were seeing as well and be able to comment on that? That's what I thought the pin was was for, but maybe I I thought that rabbit one was rabbit or whatever it was, introducing some sort of visuals, but I could be wrong. It's something else.
Speaker 3:I think you're right. I think they tried. But, again, it it's it's taking a photo and then just sending it up to an API which sort of analyzes the photo and gives you responses back. It was never, like, a fast real time kind of thing. Again, nothing your phone can't do despite taking a picture with the app, you know, and then just sort of posting it up.
Speaker 3:It's the same process, but it's still a bit simpler.
Speaker 2:If you're looking for sort of a companion, you can imagine the applications there. If you've got that processing speed of take a picture, like, someone's saying, oh, it's such a beautiful day today. Take a picture, you know, analyze what's a sunny day. It's not raining. Yes.
Speaker 2:It is. Look at the sun. Or, you know, like, kind of being able to add add that to, you know, to a conversation. So it's it's definitely an application. I think it's probably just everything's at a really early stage.
Speaker 2:No doubt that that's Yeah. Just like we've seen in certain products, there are you know, that we're creating, there are definite benefits of including those visual got that visual data in with Yeah. Which you're working just for better context for the AI. So if you see that it'll work, but as you brought up, Joe, it's probably processing time. So it kinda kills the conversation, but you have to wait a minute for
Speaker 3:a response. Yeah. I mean, even even unless I'm, like, in a in a situation where I can't, you know, use my hands, even I am, like, hesitant to use the voice even with, Chat GPT just because it takes, like, quite a while to, like, process. You kind of have to, like, start up and then wait for it to load. And then you ask your question and you kind of, like, wait.
Speaker 3:And it's, like, sometimes quicker just to quickly type out your questions, like, wait for the voice. But it may yeah. But as you said, it's all, like, early days. It will improve. And the, you know, the use cases are there.
Speaker 3:I think that's the main thing. It's like, you know, is this an actual thing or was it a gimmick? And it's like, well, it's definitely not a gimmick. You know, having being able to talk to your AI and ask questions and sort of get real time responses is huge. We're just kind of waiting for technology to catch up, but the the power of it is still definitely there.
Speaker 3:We all want it. We just have to wait for it to to get where we all want it to be, which is a good thing.
Speaker 1:Yeah. I think, I'm actually since I'm a I'm an Android user, I'm not a Apple iPhone user, I'm getting the new Pixel 9, and I'm gonna test out the actual AI. I mean, that's where if you have a powerful processing, you know, product like a phone versus this little tiny thing that you're trying to fit all these electronics, it's gonna work a little bit more in real time for sure. So I'm curious to see because I know Google was showing some real time video interactions with Geminis, and it looks like Gemini has done some really good, against the benchmarks against other ones. So I'm gonna try to test that out and see what what happens, but, it's gonna be that iPhone Android race.
Speaker 3:Yeah. I mean, that's comes out. Yeah. Exactly. That's what the 16 is all about is having those dedicated chips onboard to sort of process through all your kind of AI requests and requirements.
Speaker 3:So it doesn't have to always press up to the cloud. So it's like a way faster. So that's the direction they're going for now. Yeah. That should be really cool.
Speaker 3:And to see the kind of performance you get for it and the accuracy that you get. Because if it's all being done locally on your phone, then they're probably gonna have to, you know, basically install all the language models on your phone too to sort of understand what you're saying. And those are pretty big and, yeah, gonna be interesting to see how it works. Mhmm. If, sadly, once iPhone storage is is gonna go way down when they they get a 16 and previously with the 5 12 gig that loads of space.
Speaker 3:And now suddenly you got, like, 5 gigs free on your brand new furnace. Like, oh, all the models took up the rest. Sorry.
Speaker 1:Oh, yeah. So So, you know, I think, I was gonna kinda segue into, you know, I think the topic you wanna discuss, Brinley. And and I think what's been also a little bit negative in the news is that everywhere you hear is about AI. Everything you know, everybody's trying to integrate AI. AI is everywhere.
Speaker 1:Everything from mattresses to whatever has AI in it or so called AI, and it seems to be being thrown around a lot. And, you know, from, you know, our a from our consulting agency, we do a lot of product design and development and just knowing what your users want versus what you think is a trending feature is always the the battlegrounds between feature centric and user centric type of companies. And we know that if you take your resources away from the most important things that your users want and put it towards something that you think they want, this is where a lot of companies get into trouble because they've now taken a lot because integrating AI is not cheap, and and this is what you guys are are gonna talk about. And you you you guys are on the on the ground floor of of knowing how that integration, how hard it is. It's not easy.
Speaker 1:And companies putting so much time and money into those resources into something that customers may not need or want or may not need right now because it's not perfect is something that we're seeing in the in the market and industries with our clients where certain certain ones are are keeping track of what their customers' needs are and and kinda integrating in a way that is user friendly. Others are just throwing it in there and and not really realizing, that they're bypassing an important user experience process and just saying we need it because this is a selling point
Speaker 3:Mhmm.
Speaker 1:Because that's what they think.
Speaker 2:So Yeah.
Speaker 1:I think this is a good good way to segue into what, your topic
Speaker 2:is friendly. And I think I would almost argue, though, that a lot of the AI integration is is easy, and it's it's a process change that's actually the difficult part. So we've obviously like we always say, there's this AI explosion, and there's just this plethora or it's kind of like a veritable quota copier of tools that could be integrated into a company, and it can make a huge difference. Like, there's a lot of there are a lot of quick wins that you can leverage AI for. And, you know, kind of as as we know, all of our clients, you know, in Impact have some sort of software product.
Speaker 2:And for honest, you know, AI offers amazing opportunities across all areas of an organization. It's not just necessarily software companies. Like I was just mentioning, you know, they're not always overly complicated or, difficult to start taking advantage of. And I think, in some cases, whether you like it or not, kind of your software or your clients' needs are already changing, even if you're avoiding AI. So it's kind of an important point to look at and go, alright.
Speaker 2:Well, you know, what what do we wanna use AI for? And if we're introducing AI, what are the process changes? So I would I'd pose the question to you guys. What do you what do you feel the biggest benefit of AI is at the moment in integrating AI if you had to pick one point?
Speaker 3:That's a kind of a big question.
Speaker 2:It is, but what jumps
Speaker 3:in in what area?
Speaker 2:What what jumps like, for me for me, what jumps out is efficiency and what we've seen, Joe, like, working a lot. Like, it it the all the all the the the main advantages are based around efficiency. How do you speed up things?
Speaker 3:Yeah.
Speaker 2:You you helping things easier? So it's it's sort of so tightly woven into efficiency. So you think, alright, if that's the main main point you're getting efficiency, well, what what is the catch? And I think that the catch is coming back to the point of successful AI integration most often requires process change to succeed. So, you know, integration would be simple, but the process change is hard.
Speaker 2:And without, you know, process change, you may be doing things like inadvertently, increasing workloads. You may be detracting from a customer experience. You may be opening yourself up to legal and security issues, and I think we can just go on and on. There's so many, you know, ramifications of, of implementing without process change. What I wanted to do is is touch on some of the areas in in a software company that, you know, we we need to sort of focus on where process change, you know, is a key factor for success.
Speaker 2:And, I think I
Speaker 3:guess I'll I'll I'll ask a quick question. Sorry to interrupt. But but just to sort of, you know, throw throw it in there, you know, why do we need process change? I'm just sort of, you know, trying to other side of this question that, you know, why would we need process change for integrating AI? Is it is it necessary?
Speaker 3:Can we just use what we're currently using and just put AI on top of what we're currently doing? There's lots of software out there that can do that. You could. And then Why don't you process change?
Speaker 2:I think that's that's exactly what I wanted to point out here because I think, you know, when we've approached just thinking about solutions, initially, you identify those benefits, and you say, well, we can put these benefits in place. But I think you have to think about the holistic view and those implications of doing that. So let's take something like development. You may have, you know, traditional development methodologies that may no longer work with, you know, the technologies you're bringing in. You may need data centric development methodology.
Speaker 2:So there's direct kind of process change that may be needed. So that's something that's easier. That's like, alright, you've identified technology and you adapt your development methodologies to, you know, to support that. So that's kind of force process change. That's like a direct, response to integrating AI.
Speaker 2:But then you've got other things like encoding tools. Well, you know, do you need to evaluate those based on security? Have you got people sending out code to ChatGPT or other third party services? What are the the processes that need to change around standardizing those tools and having ongoing evaluation. So there you've maybe got an indirect, process changes needed.
Speaker 2:But you can almost look at at every aspect of an organization. So if we go to IT, you obviously now got a whole new realm of threats with potentially sensitive corporate data being leaked to models across the Internet. So it means your processes have to change in terms of your data governance and your compliance. You then also need to look at your physical monitoring processes that need to be updated to start picking these things up. And then we jump across to something like customer success, where you could say, all right, great, we're going to, implement an AI chatbot because it can do so much, but you could end up if that's not properly implemented with process change, you could end up neglecting that that content.
Speaker 2:So your content can be outdated. You may not be aware of what the communication is going back and forth with the AI. That could lead to damaging the customer experience. So you've got to kind of identify those and go, well, we can implement that, but to do it properly, we need process change. And that means, for customer success, ongoing processes in place for maintenance, monitoring.
Speaker 2:You've got to detect risk. Yeah. There's a lot in every single aspect that there's direct there's a direct and indirect process change.
Speaker 3:So to to sort of ask a good question then, not really ask but sort of clarify, you know, any kind of new IT system, any kind of new changes you bring into organization, always new process change. AI isn't really special in this regard. I mean, pretty much. Right? So what we're trying to say here is that AI isn't a magic sort of thing.
Speaker 3:You can just always bolt on. It will be disruptive. It will require process change and to expect that and to prepare for it.
Speaker 2:Well Is
Speaker 3:that what you're saying here?
Speaker 2:I I think because we gotta look at this as a as a fundamental shift. Like, if we look at developments in in mankind, we've got electricity, we've got computers, we've got the Internet, and now we've got AI. So this is a major major change that's that's happened. That's not the same as as, alright, we're using a new ticketing system for customer success, or there's a lot more that I think people need to understand. And this is something that is going to just be growing and becoming just like we don't notice electricity is around us anymore.
Speaker 2:You know, we're we're not gonna notice that AI is around, but we need to be aware that it's almost taking something additional off. So for all the efficiencies it can bring, you have to be aware that there still needs to be resources to manage that. And I think that's the that's the fundamental difference between any other technology. It's not as it's not such a shift as the introduction of AI where you actually need to feed it and you need to maintain it because it's it's almost it's that autonomy that you want, but you want to control the narrative of that, you know, autonomy, especially when we get comes to things that are are customer facing.
Speaker 1:So I've got something. It's it's basically what you're talking about is it's disruptive. And and social media, I would say, is was that bigger change where we ended when we started using social media, that has an effect on marketing. It has an effect on kids. It has an effect on adult relationships.
Speaker 1:You know, these things, it's your process change. Like now, how you raise your kids and how they interact with social media.
Speaker 2:It's a great point.
Speaker 1:It's a fundamental change in which we how we interact with people, what's fake, what's real, what's not. You know, it's changing our mindset on on a lot of those things. So I see that with AI technology. And what's interesting is that we do have cybersecurity clients as well, and they're looking into, like, checking that exact same thing. Like, what different technology have been integrated?
Speaker 1:How do you how do you check to to monitor that? It's not easy because there's so many new things coming out. And what's leaving the company? What's not? What IP is getting, you
Speaker 2:know Exactly.
Speaker 1:Unsecured, what's getting what could get stolen. Things like that is such an important thing, and it is it's something that is disruptive that you do have to go in and change. Not the way you are pro maybe not the way you you detect something that is wrong or how you ingest that input. It's how you use that, analyze that, and then take action on that. That's that's what's probably fundamentally changing for sure.
Speaker 3:I guess I guess the question I would have then there is, like, let's say I'm a company and I'm interested in a few AI products, but this sounds a bit scary to me then. Right? Because you you're kinda saying, well, you know, we wanna get some, you know, some AI tooling in here to improve some workflows that we have that we that we apparently will already help improve the speed of that. But are we gonna have to now change our whole sort of structure with our company to support AI? Do we have to, you know sounds very disruptive.
Speaker 3:Is this even a good thing? Do we even wanna do this? Is it is it worth it? I'm just sort of playing the playing the a real answer here. You know?
Speaker 2:Absolutely. And I think that's where it needs to be evaluated. If you've got someone that's, you know, in your organization that puts their hand up because I I know this great AI tool, You've got to look at it in terms of, well, how are you going to maintain that? You know, what are what are the sort of optics you've got through that tool? You know, how can this benefit us long term, and how can we, you know, maintain control long term?
Speaker 2:And I think there's a lot more that goes along with that decision opposed to a new feature that you would add to your application. And that's done, and you've checked it off, and no one thinks about it again.
Speaker 1:I think Is it an open loop system versus a closed loop system type of thing?
Speaker 2:It could be. I think it's just more around those additional considerations and and efforts to ensure that long term this is successful. And this this isn't something that's an initial investment and then you forget about it. And, you know, then you wonder for 3 years down the line, oh, why why are we not doing so well? Why are our customers having a negative opinion of our product?
Speaker 2:But you you haven't been actively managing that.
Speaker 3:Yeah. My kind of feeling on it is you can always bolt on AI onto existing processes, and it will work, and you might get some quick wins. But long term, you really want to actually be a bit more strategical about it and sort of look at your processes and see, okay, how can we actually make AI the fundamental part of those processes and not just sitting on top of them kind of, you know, half, you know, maybe, like, half working, as as well as it could if it was actually, like, you know, a core part of your processes. And I kind of feel that's what we've seen too. That, sure, you can bolt it on, but you're only gonna get so far with it.
Speaker 3:And if you sort of align a bit more to and so just looking forward. Right? It's not just about right now. It's like looking what users' expectations are gonna be in a few years' time. You know, everyone's gonna be expecting us to talk into their computers and to talk into their phones and get instance of AI feedback and instance of AI assistance.
Speaker 3:If you just bolt things on, you just kind of delaying the point where you're actually really going to need to make it a bit more of a core process to actually get to where you wanna be, where everyone else is going. And you can't kind of sit back in it and go, well, let's just see where it all ends up because you're probably going to be in a situation where you suddenly find yourself, you know, while we've we've kind of been tacking on AI and our AI is kind of bits and pieces on everywhere. It doesn't really work as well as as it could. Everyone else is doing it a lot better. And why are we sort of falling behind?
Speaker 3:And you've invested so much into bolting it on when you should have really potentially gone back in the very beginning and gone, let's just really reimagine how we're actually doing things here. What would what can we change with an organization with not sort of workflows and structures that really take advantage of AI properly and what AI needs in terms of, like, data and, as you said, governance and understanding its real you know, its capabilities and getting workflows in a way that are easy to integrate into AI. You're not always kind of battling to try and get in there. Yeah. Yeah.
Speaker 3:To me, that sort of sounds like, you know, the sort of advice we'd wanna give around that.
Speaker 2:Exactly. And I
Speaker 1:think the last It's like with any other tool. You know, we have our process where we strategically understand what the business is trying to achieve, what the users are trying to achieve, and the constraints of the of the development team and try to prioritize and obviously derisk anything you're trying to integrate because it's gonna take time and money. So these are things that just with just with anything else, we have to you should do the up work upfront work strategy to understand, hey. What should we integrate into our products? And this is just another thing.
Speaker 1:Absolutely. I think that
Speaker 2:you have to And I think it's fine. All the same. Doing it right the first time, and that's kind of building on what you were saying, Joe, as well as, you know, you don't wanna get to the point where you'd say, well, we just thought it'd be quick initially, and now we realize what we've the opportunity that we've lost by not changing processes early on and figuring out how we can best align with opportunity.
Speaker 3:And all the debt you've piled on top over the years by ignoring that. Mhmm. Because always by bolting things in, there's always hacks to get that to work. Right? You're always kind of hacking around and making plans and adding an integration layers where they shouldn't need to be and and sort of keeping data in sync when you shouldn't need to have to, to do that.
Speaker 3:It all should be central. You know, you're kind of all doing these workarounds to try and get all these systems working together correctly, and you're just embedding yourself in more of a nest of of bits and pieces, instead of like a real solid sort of vision of where you can go with it.
Speaker 2:And I think Are
Speaker 1:you seeing that with, you know, the clients that you guys are integrating
Speaker 2:Absolutely. Yeah. Yeah.
Speaker 1:Tech with? Are you
Speaker 2:I I I think you you definitely see it. And one of the things that I was gonna bring up now is just that the sort of last section is, you know, your your human resources and your organization. You know, especially with process change, what's the difficult, you know, what's always the difficult part? It's kind of employee resistance. Like, if you've you've got a process and you feel strongly about it and you've got your existing toolbox, it's difficult to change.
Speaker 3:Yeah. You
Speaker 2:know, things are working well,
Speaker 3:but you
Speaker 2:do need to look at it again holistically and say, where do we wanna be and how do we position for something that, again is a major sort of developmental milestone in in mankind. We're not talking about, well, there's a new, social media platform or, you know, it it's it's something that is it's a technology that we really need to step back and go, okay. How are we best gonna align ourselves with with this opportunity? And I think, you know, that's where like you're talking about, Joe, it's that sort of, you know, reimagining process. You know, it's where you've got to, you know, involve everyone and say, how are we going to look at all the benefits and reimagine this future now with AI and and move forward?
Speaker 2:So, I mean, those things that we mentioned are really just a fraction of the the processes that need to change. And I think the the stumbling blocks will be how siloed your organization is. You know, is your culture resistant to change? How effectively do you communicate in the organization? How effectively does this process change flow through your your organization at the moment?
Speaker 2:Is it very difficult? Is it too much red tape? Or, you know, does that do you feel that, you know, that that works with your kind of company culture? And
Speaker 3:Yeah.
Speaker 2:To kind of wrap this up, I would think the takeaway is that bringing AI into your organization has far reaching effects, and you really need something like a central governing body, or set up something like a central governing body, whether it's internal or it's consultants, and just to ensure you've got that ongoing evaluation of this new tech and your internal tool sets to ensure you're not exposed to risk and you kind of realize those efficiencies that AI can really offer. It's an exciting time, but I think it's it's an important point to just realize, like, think about process.
Speaker 3:Yeah. Definitely.
Speaker 1:Great. Well, I think that's a good segue to end, and, appreciate, everybody tuning into, the the the AI podcast today. And, again, always reach out if you have any questions or have any new topics you want us to discuss. And, again, thanks for your time, and, hit that like and subscribe button. And, we'll talk to you next time.
Speaker 2:Yeah. Till next time. See you.
Speaker 3:See you.
Speaker 1:Alright. Bye, everyone.