WEBVTT 00:00:00.000 --> 00:00:03.720 Imagine a world where truly groundbreaking technology 00:00:03.720 --> 00:00:08.900 like AI promises to transform, well, everything, 00:00:09.060 --> 00:00:13.640 every industry, every process. Now, pick your 00:00:13.640 --> 00:00:18.600 almost all of those big efforts just not delivering. 00:00:19.050 --> 00:00:21.269 It's kind of this quiet crisis happening. Yeah, 00:00:21.370 --> 00:00:23.649 totally. It feels a lot like, you know, bolting 00:00:23.649 --> 00:00:25.609 a jet engine onto an old horse cart, doesn't 00:00:25.609 --> 00:00:27.969 it? Exactly. The idea sounds cool, maybe, but 00:00:27.969 --> 00:00:32.130 the reality, that ride is going to get messy, 00:00:32.329 --> 00:00:36.590 spectacularly messy fast. So today we're going 00:00:36.590 --> 00:00:38.390 to peel back the layers, try and understand why 00:00:38.390 --> 00:00:41.609 that like 95 % failure rate is so common. And 00:00:41.609 --> 00:00:43.509 crucially, how you can be among the successful 00:00:43.509 --> 00:00:47.070 5%. Right. Welcome to the Deep Dive. Our mission 00:00:47.070 --> 00:00:49.109 today is pretty straightforward. Give you a clear, 00:00:49.170 --> 00:00:51.409 actionable way to think about AI implementation. 00:00:52.610 --> 00:00:54.469 Exactly. We're diving deep into this critical 00:00:54.469 --> 00:00:57.289 issue, the staggering failure rate of automation 00:00:57.289 --> 00:00:59.969 projects in the AI space. We'll unpack the core 00:00:59.969 --> 00:01:02.509 reasons, drawing on some recent analyses, including 00:01:02.509 --> 00:01:04.730 work by Max Anne. But hey, it's not all like 00:01:04.730 --> 00:01:06.510 doom and gloom here. Actually, it's quite the 00:01:06.510 --> 00:01:08.150 opposite when you look at it, right? We're then 00:01:08.150 --> 00:01:10.810 going to reveal this proven three -phase framework. 00:01:10.810 --> 00:01:13.370 It's called the Morningside Method. This is apparently 00:01:13.370 --> 00:01:15.709 what the successful few are using. Okay. And 00:01:15.709 --> 00:01:18.530 the key. It's all about focusing on the process 00:01:18.530 --> 00:01:22.310 first. not the technology, turning that internal 00:01:22.310 --> 00:01:26.109 chaos into actual growth. So you're basically 00:01:26.109 --> 00:01:30.030 getting a strategic roadmap to make AI work for 00:01:30.030 --> 00:01:32.849 you. Okay, let's really dig into this. You see 00:01:32.849 --> 00:01:35.670 the headlines about AI everywhere, right? But 00:01:35.670 --> 00:01:39.189 the reality for... Most businesses, it's pretty 00:01:39.189 --> 00:01:42.049 stark. Research, and this includes sources like 00:01:42.049 --> 00:01:45.290 MIT, consistently shows that a shocking 95 % 00:01:45.290 --> 00:01:48.450 of enterprise AI initiatives. 95? Yeah, those 00:01:48.450 --> 00:01:51.849 big expensive projects, they just... failed to 00:01:51.849 --> 00:01:54.129 deliver any real measurable return on investment. 00:01:54.269 --> 00:01:56.469 It really is that jet engine on a horse cart 00:01:56.469 --> 00:01:58.810 problem. It is. Companies are trying to attach 00:01:58.810 --> 00:02:01.450 this incredibly powerful, like cutting edge AI 00:02:01.450 --> 00:02:04.269 onto their old, often kind of broken internal 00:02:04.269 --> 00:02:06.930 systems. Right. The foundation isn't there. Exactly. 00:02:06.950 --> 00:02:09.250 And, you know, a huge piece of that is what this 00:02:09.250 --> 00:02:11.750 analysis calls organized chaos. Most businesses, 00:02:11.849 --> 00:02:14.150 they're living in it. Organized chaos. I like 00:02:14.150 --> 00:02:16.849 that. Yeah, me too. They're data. It's like. 00:02:17.319 --> 00:02:19.659 scattered everywhere, disconnected spreadsheets, 00:02:19.659 --> 00:02:23.479 old legacy apps, their processes, often just 00:02:23.479 --> 00:02:26.039 a tangle of how we've always done it, usually 00:02:26.039 --> 00:02:28.960 undocumented, held together by like duct tape 00:02:28.960 --> 00:02:31.199 in someone's memory. Tribal knowledge. Totally. 00:02:31.360 --> 00:02:34.159 So plugging powerful AI into that, it isn't going 00:02:34.159 --> 00:02:37.500 to speed things up in a good way. It just amplifies 00:02:37.500 --> 00:02:40.479 the mess. Magnifies the existing process. Exponentially. 00:02:40.560 --> 00:02:43.479 You get garbage in, garbage out, but like faster 00:02:43.479 --> 00:02:45.639 than ever before. It's more like a spectacular 00:02:45.639 --> 00:02:48.340 explosion than... acceleration honestly mm -hmm 00:02:48.340 --> 00:02:51.759 and beyond just that internal mess another major 00:02:51.759 --> 00:02:55.120 issue is the copycat strategy ah yes you see 00:02:55.120 --> 00:02:57.800 companies chasing the hype right just mimicking 00:02:57.800 --> 00:03:00.020 what maybe a competitor is doing or some trendy 00:03:00.020 --> 00:03:02.120 startup without really thinking if it fits them 00:03:02.120 --> 00:03:05.669 exactly No deep strategic look at their own unique 00:03:05.669 --> 00:03:08.710 needs. They're not asking what specific problem 00:03:08.710 --> 00:03:11.090 are we trying to solve here or how does this 00:03:11.090 --> 00:03:13.050 actually align with our business goals. So they 00:03:13.050 --> 00:03:15.770 end up with these expensive totally irrelevant 00:03:15.770 --> 00:03:19.069 solutions. Precisely. It's a recipe for failure. 00:03:19.129 --> 00:03:22.069 But you know the deepest root and this is what's 00:03:22.069 --> 00:03:23.289 really fascinating because it gets overlooked 00:03:23.289 --> 00:03:26.789 so often is the human problem. OK. Tell me more. 00:03:27.009 --> 00:03:30.250 Well. Companies pour millions into the tech. 00:03:30.330 --> 00:03:32.330 Right. And then they completely forget about 00:03:32.330 --> 00:03:35.469 their employees. The, you know, emotional, often 00:03:35.469 --> 00:03:37.949 fearful people who actually have to use this 00:03:37.949 --> 00:03:40.199 stuff. Right. Change is hard. It is. You've got 00:03:40.199 --> 00:03:43.099 people resisting change. Maybe they lack proper 00:03:43.099 --> 00:03:44.879 training or they're just plain uncomfortable 00:03:44.879 --> 00:03:48.139 with new ways of working. Ignoring these human 00:03:48.139 --> 00:03:51.800 barriers, fear of job loss, the like a mental 00:03:51.800 --> 00:03:54.319 load of prompt engineering, the discomfort of 00:03:54.319 --> 00:03:56.800 shifting roles, it almost guarantees things won't 00:03:56.800 --> 00:03:59.000 stick. It's easy to focus on the shiny tech. 00:03:59.120 --> 00:04:02.379 So easy. But the human element, it's incredibly 00:04:02.379 --> 00:04:04.879 powerful. I mean, honestly, I still wrestle with 00:04:04.879 --> 00:04:07.240 prompt drift myself sometimes. Prompt drift. 00:04:07.419 --> 00:04:09.139 Explain that quickly. Yeah, it's basically when 00:04:09.139 --> 00:04:12.120 the AI's output kind of subtly changes over time, 00:04:12.340 --> 00:04:14.680 even with small shifts in how you ask it things. 00:04:15.139 --> 00:04:17.540 Seeing how even tiny changes like that can just 00:04:17.540 --> 00:04:19.800 throw a whole team off their rhythm. It's tricky. 00:04:19.980 --> 00:04:23.720 So when we boil it all down, why do most AI projects 00:04:23.720 --> 00:04:26.870 fail? What's the fundamental issue? It really 00:04:26.870 --> 00:04:30.089 seems to consistently be focusing on the flashy 00:04:30.089 --> 00:04:34.350 technology before truly understanding and, you 00:04:34.350 --> 00:04:37.110 know, streamlining the messy internal processes 00:04:37.110 --> 00:04:41.110 and the people involved. Okay. So this huge 95 00:04:41.110 --> 00:04:45.610 % failure rate, it sounds daunting, but the perspective 00:04:45.610 --> 00:04:47.930 here is that it's not just a problem. No, not 00:04:47.930 --> 00:04:50.829 at all. For those who approach AI smartly, it's 00:04:50.829 --> 00:04:54.660 framed as an enormous opportunity. Exactly. It's 00:04:54.660 --> 00:04:56.620 like everyone else is digging for gold over there 00:04:56.620 --> 00:04:58.540 in the wrong spot and you've just found the map 00:04:58.540 --> 00:05:01.019 to the actual mother load. Interesting analogy. 00:05:01.240 --> 00:05:03.519 So for business owners. For business owners, 00:05:03.639 --> 00:05:06.000 this is how you get what they call an unfair 00:05:06.000 --> 00:05:08.339 competitive advantage. Unfair advantage. Okay. 00:05:08.399 --> 00:05:11.079 Yeah. While your competitors are like wasting 00:05:11.079 --> 00:05:13.759 time and money on these chaotic failed projects, 00:05:13.959 --> 00:05:17.800 you can quietly build a really durable AI powered 00:05:17.800 --> 00:05:20.019 advantage. Durable meaning sustainable. Right. 00:05:20.120 --> 00:05:21.980 This isn't just like a small improvement. This 00:05:21.980 --> 00:05:24.000 could genuinely help you. dominate your industry 00:05:24.000 --> 00:05:26.300 for years, you're building on a solid foundation. 00:05:26.699 --> 00:05:29.620 What about for entrepreneurs, agency owners? 00:05:29.860 --> 00:05:31.639 Oh, for them, it's framed as nothing short of 00:05:31.639 --> 00:05:34.500 a gold rush opportunity. Seriously. A gold rush. 00:05:34.779 --> 00:05:37.740 Think about it. Millions of businesses desperately 00:05:37.740 --> 00:05:40.379 want the power of AI. They see the potential 00:05:40.379 --> 00:05:44.160 buzzwords, but they have absolutely no clue how 00:05:44.160 --> 00:05:47.220 to get a real measurable return. They need help 00:05:47.220 --> 00:05:50.319 navigating it. Totally. The market is wide open 00:05:50.319 --> 00:05:53.000 for people who can step in and become that expert 00:05:53.000 --> 00:05:55.500 guide, the ones who can actually deliver results. 00:05:55.860 --> 00:05:59.620 So what kind of expertise wins big in this AI 00:05:59.620 --> 00:06:02.519 gold rush? It's really being that expert guide 00:06:02.519 --> 00:06:06.399 who brings AI power effectively and profitably 00:06:06.399 --> 00:06:09.560 to businesses that genuinely need it. Okay, this 00:06:09.560 --> 00:06:12.100 is where it gets really practical. The framework 00:06:12.100 --> 00:06:14.519 highlighted, the Morningside Method. It starts 00:06:14.519 --> 00:06:17.639 with three distinct phases. Phase one is education 00:06:17.639 --> 00:06:19.740 and alignment. And this is the one almost everyone 00:06:19.740 --> 00:06:21.839 skips. Right. Why is it so important? Think of 00:06:21.839 --> 00:06:24.579 it like the mission briefing before big operation. 00:06:24.920 --> 00:06:26.579 You got to get all the leaders, all the generals 00:06:26.579 --> 00:06:28.879 on the same page first. Show them the map, the 00:06:28.879 --> 00:06:31.019 objective. Exactly. The main goal here is to 00:06:31.019 --> 00:06:33.399 establish a really clear strategic vision for 00:06:33.399 --> 00:06:35.600 how AI is actually going to fit into this specific 00:06:35.600 --> 00:06:38.759 company. So alignment is key. Totally key. It 00:06:38.759 --> 00:06:41.420 means getting the entire leadership team completely 00:06:41.420 --> 00:06:43.519 on board. They need to understand the strategy, 00:06:43.639 --> 00:06:45.860 the terminology, what are we even talking about 00:06:45.860 --> 00:06:49.459 here, and the real opportunities, usually through 00:06:49.459 --> 00:06:52.399 focused AI leadership workshops. Makes sense. 00:06:52.579 --> 00:06:54.920 Because without that shared understanding, any 00:06:54.920 --> 00:06:57.620 talk about transformation is just, well, it's 00:06:57.620 --> 00:06:59.540 just noise. You can't build something coherent 00:06:59.540 --> 00:07:01.319 if everyone's speaking a different language about 00:07:01.319 --> 00:07:03.980 it. And there's this interesting tactic, Pinchin, 00:07:04.079 --> 00:07:06.480 the inception tactic. Yeah, what the? Explain 00:07:06.480 --> 00:07:11.029 that. It's about doing the education before specific 00:07:11.029 --> 00:07:14.180 recommendations. Precisely. This vital education 00:07:14.180 --> 00:07:17.300 process, getting them up to speed, happens before 00:07:17.300 --> 00:07:19.699 you even start pitching specific AI tools or 00:07:19.699 --> 00:07:22.199 projects. Because it ensures the leadership is 00:07:22.199 --> 00:07:24.399 already bought into your logic and terminology 00:07:24.399 --> 00:07:27.660 first. They understand the why behind your approach 00:07:27.660 --> 00:07:30.420 before you present the what. Ah, so it smooths 00:07:30.420 --> 00:07:32.699 the path for approvals later. Massively smoother. 00:07:32.959 --> 00:07:34.740 It's actually a really powerful psychological 00:07:34.740 --> 00:07:37.639 trick for managing change. Get them nodding along 00:07:37.639 --> 00:07:39.819 with the principles first. And then there's this 00:07:39.819 --> 00:07:44.779 visual tool. the AI -first org chart. That sounds 00:07:44.779 --> 00:07:47.439 potentially scary. It sounds scary, but it's 00:07:47.439 --> 00:07:50.120 not about who gets fired or replaced. That's 00:07:50.120 --> 00:07:52.620 not the point here. It's about showing how AI 00:07:52.620 --> 00:07:55.939 can augment the team, how it can create new efficiencies, 00:07:56.019 --> 00:07:58.519 maybe even new roles, new capabilities they didn't 00:07:58.519 --> 00:08:00.660 have before. So visualizing the future state. 00:08:00.839 --> 00:08:03.300 Exactly. It helps leadership really visualize 00:08:03.300 --> 00:08:06.459 that final destination of the transformation, 00:08:06.740 --> 00:08:09.459 helps them see the potential of their people 00:08:09.459 --> 00:08:12.259 working with AI not being replaced by it. So 00:08:12.259 --> 00:08:14.720 let's recap phase one. Before any building starts, 00:08:14.959 --> 00:08:18.459 why is educating that leadership team so profoundly 00:08:18.459 --> 00:08:21.240 crucial? Fundamentally, it establishes that shared 00:08:21.240 --> 00:08:23.819 strategic vision and it solidifies their buy 00:08:23.819 --> 00:08:25.839 -in for everything that comes next. Got it. Okay. 00:08:25.899 --> 00:08:28.819 So leadership is aligned, clear vision in place. 00:08:29.000 --> 00:08:32.279 Phase two then shifts gears to a deep business 00:08:32.279 --> 00:08:35.480 investigation. Right. And the goal here is ambitious. 00:08:36.000 --> 00:08:38.340 Understand the company better than they understand 00:08:38.340 --> 00:08:41.370 themselves. Yeah. Become the absolute expert 00:08:41.370 --> 00:08:43.669 on how their business actually functions day 00:08:43.669 --> 00:08:46.049 to day, including all those messy, inefficient 00:08:46.049 --> 00:08:48.149 bits they've just, you know, learned to live 00:08:48.149 --> 00:08:51.009 with over the years. So how do you do that? Step 00:08:51.009 --> 00:08:55.210 one. Step one is comprehensive interviews. Think 00:08:55.210 --> 00:08:58.590 of it like taking the patient history when diagnosing 00:08:58.590 --> 00:09:01.210 an illness. Talking to people. Talking to everyone. 00:09:01.250 --> 00:09:04.629 Yes, department heads, sure. But crucially, also 00:09:04.629 --> 00:09:08.029 the frontline staff. The people doing the actual 00:09:08.029 --> 00:09:10.990 work. On the ground insights. Exactly. You really 00:09:10.990 --> 00:09:13.889 dig into their daily challenges, their frustrations, 00:09:13.889 --> 00:09:16.129 what takes up all their time. You're trying to 00:09:16.129 --> 00:09:18.950 uncover those deep insights that, you know, spreadsheets 00:09:18.950 --> 00:09:21.669 and reports will just never show you. Okay. Interviews 00:09:21.669 --> 00:09:24.230 first. Then step two. Step two is developing 00:09:24.230 --> 00:09:26.629 the process map. This is like giving the business 00:09:26.629 --> 00:09:29.769 an MRI scan. A visual map of workflows. Yeah. 00:09:30.090 --> 00:09:32.590 Using tools, maybe like Figma or similar, to 00:09:32.590 --> 00:09:35.149 visually map out all the core workflows end -to 00:09:35.149 --> 00:09:37.850 -end, how does information really flow? Where 00:09:37.850 --> 00:09:40.269 are the handoffs? I bet for many clients that's 00:09:40.269 --> 00:09:43.269 eye -opening itself. Oh, absolutely. For many, 00:09:43.330 --> 00:09:46.090 this visual map is the very first objective look 00:09:46.090 --> 00:09:47.830 they've ever had at how their business actually 00:09:47.830 --> 00:09:50.610 operates. It can be a huge aha moment. Suddenly, 00:09:50.789 --> 00:09:53.129 bottlenecks just jump off the page. Okay, interviews, 00:09:53.429 --> 00:09:57.289 process math, step three. Step three is use case 00:09:57.289 --> 00:10:00.309 identification. And this, they say, is where 00:10:00.309 --> 00:10:02.269 the amateurs get separated from the experts. 00:10:02.549 --> 00:10:05.549 How so? You take that detailed process map you 00:10:05.549 --> 00:10:07.830 just built and you compare it against a carefully 00:10:07.830 --> 00:10:11.909 curated database of proven real world AI systems. 00:10:12.250 --> 00:10:15.570 Ah, so not just brainstorming AI ideas, but matching 00:10:15.570 --> 00:10:19.909 problems to existing solutions. Exactly. Pinpointing 00:10:19.909 --> 00:10:22.409 the exact bottlenecks like manual data entry, 00:10:22.690 --> 00:10:25.370 endless report writing, super repetitive. customer 00:10:25.370 --> 00:10:27.750 queries, and matching them to AI tools already 00:10:27.750 --> 00:10:29.950 working out there in the real world. Proven solutions. 00:10:30.289 --> 00:10:32.169 Yes. Focus on solutions already in production, 00:10:32.289 --> 00:10:34.870 not like experimental moonshots. We're talking 00:10:34.870 --> 00:10:37.070 about leveraging specialized AI services for 00:10:37.070 --> 00:10:40.370 specific repetitive tasks, like, say, using a 00:10:40.370 --> 00:10:42.470 transcription API to turn meeting notes into 00:10:42.470 --> 00:10:44.889 text for automated summaries. Not trying to build 00:10:44.889 --> 00:10:47.169 a brand new AI model from scratch to write a 00:10:47.169 --> 00:10:50.309 novel. Got it. Practical application. And the 00:10:50.309 --> 00:10:53.700 final step. Step four. Finally, step four is 00:10:53.700 --> 00:10:57.000 opportunity grading and validation. Okay. What 00:10:57.000 --> 00:10:58.600 does that involve? You take all those potential 00:10:58.600 --> 00:11:00.779 opportunities you identified and plot them on 00:11:00.779 --> 00:11:04.039 a simple matrix. Usually it's value versus difficulty. 00:11:04.279 --> 00:11:06.539 Value versus difficulty. Makes sense. Yeah. It 00:11:06.539 --> 00:11:09.539 helps you prioritize. You want a mix of quick 00:11:09.539 --> 00:11:13.019 wins, high value, low difficulty for that immediate 00:11:13.019 --> 00:11:16.659 ROI, and maybe some big swings, high value, higher 00:11:16.659 --> 00:11:19.059 difficulty for longer term advantage. And validation. 00:11:19.840 --> 00:11:22.840 Crucially, this involves dual validation. You 00:11:22.840 --> 00:11:25.159 need buy -in from both the employees who are 00:11:25.159 --> 00:11:26.820 actually doing the work, do they agree this is 00:11:26.820 --> 00:11:29.320 a real problem, and from leadership for the strategic 00:11:29.320 --> 00:11:31.740 fit. So bottom -up and top -down validation. 00:11:31.980 --> 00:11:34.879 Exactly, the end result of all this. A comprehensive 00:11:34.879 --> 00:11:39.000 AI strategy roadmap, often like 50, 100 pages 00:11:39.000 --> 00:11:41.519 detailing the plan. Okay, so focusing on phase 00:11:41.519 --> 00:11:44.259 two again. How do you make sure those AI opportunities 00:11:44.259 --> 00:11:46.779 you identify aren't just theoretical, but are 00:11:46.779 --> 00:11:48.779 actually practical and will be accepted by the 00:11:48.779 --> 00:11:51.200 team? It comes down to validating the problems 00:11:51.200 --> 00:11:53.759 directly with the employees experiencing them 00:11:53.759 --> 00:11:56.500 and then securing that leadership buy -in for 00:11:56.500 --> 00:11:59.320 the strategic alignment. Dual validation. Right. 00:11:59.899 --> 00:12:02.080 Okay. Makes sense. We'll take a quick break here. 00:12:02.159 --> 00:12:04.220 Sounds good. Sponsor read. All right. We're back. 00:12:04.360 --> 00:12:07.139 We've got leadership aligned from phase one and 00:12:07.139 --> 00:12:10.600 a clear validated roadmap from phase two. Now, 00:12:10.620 --> 00:12:14.179 phase three is where we actually turn that plan 00:12:14.179 --> 00:12:17.700 into growth. development and implementation yeah 00:12:17.700 --> 00:12:19.960 this is where the rubber meets the road as they 00:12:19.960 --> 00:12:22.500 say where the planning turns into tangible results 00:12:22.500 --> 00:12:24.620 and there's a key rule here to start with oh 00:12:24.620 --> 00:12:26.919 yeah absolutely paramount the quick win rule 00:12:26.919 --> 00:12:29.919 which is always always start with the quick win 00:12:29.919 --> 00:12:33.500 not the big flashy project never never ever begin 00:12:33.500 --> 00:12:36.620 with some massive six -month multi -million dollar 00:12:36.620 --> 00:12:39.080 moonshot project that is just a guaranteed way 00:12:39.080 --> 00:12:41.899 to lose trust lose momentum really fast so start 00:12:41.899 --> 00:12:44.759 small Get runs on the board. Exactly. You build 00:12:44.759 --> 00:12:47.360 credibility. You build enthusiasm by tackling 00:12:47.360 --> 00:12:50.259 projects that blend high impact with low difficulty. 00:12:50.519 --> 00:12:53.799 Get that immediate, tangible ROI first. That 00:12:53.799 --> 00:12:57.580 makes sense. Build momentum. And whoa, just imagine 00:12:57.580 --> 00:13:00.299 taking one of those maybe kind of boring, quick 00:13:00.299 --> 00:13:04.220 win solutions, proving its value in one department 00:13:04.220 --> 00:13:07.000 and then scaling it across a whole global enterprise. 00:13:07.320 --> 00:13:10.539 Yeah. The cumulative effect could be. Absolutely 00:13:10.539 --> 00:13:12.700 staggering. It's actually fascinating how much 00:13:12.700 --> 00:13:15.980 power is in those, quote, boring systems. Isn't 00:13:15.980 --> 00:13:19.019 it? For most businesses, the biggest, most profitable 00:13:19.019 --> 00:13:22.220 quick wins, they often solve those just soul 00:13:22.220 --> 00:13:25.200 -crushing manual tasks. Like what? Things like, 00:13:25.240 --> 00:13:27.580 you know, endless manual data entry, copying 00:13:27.580 --> 00:13:29.840 from one system to another, writing the same 00:13:29.840 --> 00:13:32.320 report format over and over, or answering the 00:13:32.320 --> 00:13:34.919 same five customer service questions 80 times 00:13:34.919 --> 00:13:37.500 a day. Stuff nobody wants to do. Exactly. These 00:13:37.500 --> 00:13:40.779 aren't flashy, maybe. But their impact on productivity 00:13:40.779 --> 00:13:44.399 and morale, it's profound. So give me some examples 00:13:44.399 --> 00:13:47.960 of these boring but high -impact tools. Yeah, 00:13:47.960 --> 00:13:50.500 sure. Simple things, really, like smart voice 00:13:50.500 --> 00:13:52.779 agents to route calls correctly the first time, 00:13:52.840 --> 00:13:55.059 intelligent transcription services for meetings 00:13:55.059 --> 00:13:57.379 or notes, or maybe internal document query tools 00:13:57.379 --> 00:13:59.620 so employees can find info without asking someone. 00:13:59.779 --> 00:14:01.799 Things that save time and reduce frustration. 00:14:02.509 --> 00:14:05.809 Precisely. These aren't like super complex algorithms 00:14:05.809 --> 00:14:09.429 needing a team of THDs. They can save hundreds 00:14:09.429 --> 00:14:12.710 of hours a month and easily deliver a six -figure 00:14:12.710 --> 00:14:15.330 ROI. And often from a relatively small investor. 00:14:15.549 --> 00:14:18.980 Often. Think maybe $20 ,000 to $50 ,000 sometimes 00:14:18.980 --> 00:14:22.580 to get started on a specific problem. That kind 00:14:22.580 --> 00:14:25.179 of return. That's a total game changer for most 00:14:25.179 --> 00:14:28.019 businesses. It's about smart, targeted application, 00:14:28.419 --> 00:14:31.299 not just raw AI power. And this whole approach, 00:14:31.440 --> 00:14:33.539 starting with deep understanding and quick wins, 00:14:33.759 --> 00:14:36.960 it also fosters something else. Yeah. Long term 00:14:36.960 --> 00:14:39.379 partnerships. How so? Because you've done that 00:14:39.379 --> 00:14:42.259 deep investigation in phase two, you understand 00:14:42.259 --> 00:14:44.259 their business deeply. You're not just a vendor 00:14:44.259 --> 00:14:46.620 selling a tool. You become a strategic ally. 00:14:46.840 --> 00:14:49.259 A trusted advisor. Exactly. It naturally leads 00:14:49.259 --> 00:14:51.460 to ongoing work, continuous improvement cycles. 00:14:51.600 --> 00:14:53.559 You know where the next opportunity is. And there's 00:14:53.559 --> 00:14:55.539 another angle to the AI upgrade opportunity. 00:14:55.860 --> 00:14:59.080 Right. This is built in every time a new, more 00:14:59.080 --> 00:15:01.440 powerful AI model comes out, which, let's be 00:15:01.440 --> 00:15:03.159 honest, is happening constantly now. All the 00:15:03.159 --> 00:15:05.159 time. It creates a new business opportunity. 00:15:05.419 --> 00:15:07.299 for you if you're the partner. You can go back 00:15:07.299 --> 00:15:09.179 to your existing happy clients and say, hey, 00:15:09.240 --> 00:15:11.539 we can upgrade that system we built for you, 00:15:11.620 --> 00:15:14.120 make it even better, maybe even cheaper to run 00:15:14.120 --> 00:15:16.440 now. Increasing the lifetime value of that client. 00:15:16.740 --> 00:15:19.299 Hugely. It becomes this ongoing positive cycle. 00:15:19.500 --> 00:15:22.200 Okay, so wrapping up phase three. When it comes 00:15:22.200 --> 00:15:24.379 to that initial implementation of AI solutions, 00:15:24.759 --> 00:15:28.080 what's the single most crucial rule to follow? 00:15:28.299 --> 00:15:31.379 Always, always start with those quick wins that 00:15:31.379 --> 00:15:34.899 deliver immediate, tangible ROI, not the massive 00:15:34.899 --> 00:15:37.899 long -term moonshots. Build trust first. Got 00:15:37.899 --> 00:15:40.360 it. So bringing this all together, what does 00:15:40.360 --> 00:15:44.019 this three -phase method mean for you, the listener? 00:15:44.409 --> 00:15:46.289 whether you're maybe building an AI business 00:15:46.289 --> 00:15:49.009 or you're a leader looking to implement AI in 00:15:49.009 --> 00:15:51.090 your company. Well, this playbook offers a pretty 00:15:51.090 --> 00:15:53.309 clear path, regardless of which side you're on. 00:15:53.450 --> 00:15:56.049 Okay, let's take the first group, AI agency owners 00:15:56.049 --> 00:15:58.750 and entrepreneurs. For them, it's really presented 00:15:58.750 --> 00:16:01.309 as a journey, like leveling up over time. How 00:16:01.309 --> 00:16:03.250 does that look? Maybe you start as a no -code 00:16:03.250 --> 00:16:06.409 agency, using those visual drag -and -drop tools 00:16:06.409 --> 00:16:09.509 to automate simpler stuff, learn the ropes, understand 00:16:09.509 --> 00:16:12.169 business processes. Get some experience. Right. 00:16:12.519 --> 00:16:15.200 Then maybe you evolve into a full stack agency, 00:16:15.480 --> 00:16:18.019 bring in developers, build more custom, complex 00:16:18.019 --> 00:16:20.720 solutions for clients. OK. And eventually, after 00:16:20.720 --> 00:16:23.000 years of doing this, really being in the trenches, 00:16:23.159 --> 00:16:25.220 you can become a true transformation partner, 00:16:25.460 --> 00:16:27.639 selling that whole strategic process we've been 00:16:27.639 --> 00:16:30.820 talking about from education through implementation. 00:16:31.220 --> 00:16:33.879 So a growth path for the service providers. Yeah. 00:16:33.940 --> 00:16:36.659 Now, what about for business owners, people inside 00:16:36.659 --> 00:16:39.440 companies wanting to use AI? For them, there 00:16:39.440 --> 00:16:41.600 are really two clear options presented. Option 00:16:41.600 --> 00:16:47.299 one. The DIY AI sounds tough. It is challenging, 00:16:47.399 --> 00:16:49.820 no doubt. But the idea is you take this playbook, 00:16:49.940 --> 00:16:52.080 these phases, start internal conversations, maybe 00:16:52.080 --> 00:16:54.779 run a small audit on just one department. Find 00:16:54.779 --> 00:16:57.419 a pilot project. Build some internal momentum. 00:16:57.679 --> 00:16:59.879 Possible but requires commitment. Definitely 00:16:59.879 --> 00:17:02.080 achievable with persistence and real commitment 00:17:02.080 --> 00:17:05.299 from leadership. And option two. Option two is 00:17:05.299 --> 00:17:08.140 the work with experts path. Hire an agency or 00:17:08.140 --> 00:17:11.059 consultancy. But with a caveat, I assume. A big 00:17:11.059 --> 00:17:15.119 one. You have to choose carefully. Look for partners 00:17:15.119 --> 00:17:18.240 who are genuinely focused on long -term strategic 00:17:18.240 --> 00:17:20.779 relationships, not just trying to make a quick 00:17:20.779 --> 00:17:23.680 sale on some software. And crucially. Crucially, 00:17:23.799 --> 00:17:26.640 make sure they follow a process -first methodology. 00:17:26.960 --> 00:17:29.619 They shouldn't just walk in and immediately start 00:17:29.619 --> 00:17:31.960 recommending flashy tech. They need to do that 00:17:31.960 --> 00:17:35.359 deep dive first. Yes. That distinction, prioritizing 00:17:35.359 --> 00:17:37.819 understanding your existing processes first, 00:17:38.059 --> 00:17:41.160 is absolutely vital for success. Ask them about 00:17:41.160 --> 00:17:43.579 their process. Okay, so for a business owner 00:17:43.579 --> 00:17:46.579 choosing that AI partner, what's the single key 00:17:46.579 --> 00:17:48.819 consideration they need to keep front of mind? 00:17:49.019 --> 00:17:51.420 Just ensure they prioritize that process -first 00:17:51.420 --> 00:17:53.680 methodology over simply trying to sell you the 00:17:53.680 --> 00:17:56.039 latest flashy technology process -first. Okay, 00:17:56.119 --> 00:17:58.680 so let's try to distill the big idea from this 00:17:58.680 --> 00:18:01.319 deep dive. What's the core message? I think it's 00:18:01.319 --> 00:18:03.799 incredibly clear. We're in the middle of a process 00:18:03.799 --> 00:18:05.900 -first revolution when it comes to AI actually 00:18:05.900 --> 00:18:09.390 working. Process -first. Meaning the most powerful 00:18:09.390 --> 00:18:12.829 AI in the world won't help you if your underlying 00:18:12.829 --> 00:18:15.730 business processes, your house, is basically 00:18:15.730 --> 00:18:19.470 on fire. Exactly. The opportunity with AI is 00:18:19.470 --> 00:18:22.450 truly immense, no question. But most people, 00:18:22.569 --> 00:18:24.869 most companies, they're approaching it completely 00:18:24.869 --> 00:18:28.500 backward. How so? They skip those vital first 00:18:28.500 --> 00:18:30.900 steps, the education, the deep identification 00:18:30.900 --> 00:18:33.319 of problems and processes. They jump straight 00:18:33.319 --> 00:18:36.140 to development, thinking the tech itself is the 00:18:36.140 --> 00:18:38.059 answer. It's like trying to paint a house before 00:18:38.059 --> 00:18:40.220 you've even laid the foundation. Perfect analogy. 00:18:40.480 --> 00:18:42.819 It simply doesn't work long term. You might get 00:18:42.819 --> 00:18:45.279 a demo that looks cool, but not sustainable results. 00:18:45.559 --> 00:18:47.920 So real sustainable success, the kind that actually 00:18:47.920 --> 00:18:50.559 drives measurable ROI and gives you a competitive 00:18:50.559 --> 00:18:53.339 edge, comes from following that complete three 00:18:53.339 --> 00:18:56.359 -phase process. Right. First, education for alignment. 00:18:56.539 --> 00:18:58.900 Get everyone on board. Second, identification 00:18:58.900 --> 00:19:01.440 to deeply understand the business reality. And 00:19:01.440 --> 00:19:04.400 only then. Only then. Third, development, implementing 00:19:04.400 --> 00:19:06.759 the right solutions for measurable growth. Starting 00:19:06.759 --> 00:19:09.359 with those quick wins. It really seems the winners 00:19:09.359 --> 00:19:12.250 of this whole AI revolution. won't necessarily 00:19:12.250 --> 00:19:14.690 be the ones with the fanciest algorithms or the 00:19:14.690 --> 00:19:16.970 biggest R &D budgets. Probably not. They'll be 00:19:16.970 --> 00:19:20.170 the ones who fundamentally understand that true, 00:19:20.289 --> 00:19:23.369 lasting transformation always, always starts 00:19:23.369 --> 00:19:26.450 with people and processes. Technology is the 00:19:26.450 --> 00:19:29.289 enabler, not the starting point. So a final thought 00:19:29.289 --> 00:19:31.849 for everyone listening. Maybe reflect on your 00:19:31.849 --> 00:19:34.529 own organization. Is your business experiencing 00:19:34.529 --> 00:19:38.440 its own version of that organized chaos? Yeah. 00:19:38.500 --> 00:19:40.940 Does it maybe need that strategic process first 00:19:40.940 --> 00:19:43.819 approach before you try and bolt on that expensive 00:19:43.819 --> 00:19:47.299 AI jet engine? What stands out to you about starting 00:19:47.299 --> 00:19:49.339 with the process, not just the technology? Something 00:19:49.339 --> 00:19:51.339 to think about. Definitely. Thank you for joining 00:19:51.339 --> 00:19:53.660 us for this deep dive into making AI automation 00:19:53.660 --> 00:19:56.180 actually deliver results. Yeah. Thanks for listening. 00:19:56.299 --> 00:19:58.259 Until next time, keep digging deeper.