1 00:00:04,620 --> 00:00:07,020 Robert Plank: Hey and welcome back. It is the marketer of the 2 00:00:07,020 --> 00:00:11,580 day podcast. Courtney Baker is here. She is the CMO of known 3 00:00:11,580 --> 00:00:16,620 well, and she is the host of the AI know how podcast, and 4 00:00:16,680 --> 00:00:19,920 Courtney has led the transformation from a company 5 00:00:19,920 --> 00:00:24,080 called full focus, from a personality driven to a product 6 00:00:24,080 --> 00:00:28,940 led brand, and now Courtney deploys her craft and impact on 7 00:00:28,940 --> 00:00:32,900 how AI gets deployed in business. Her website is known 8 00:00:32,900 --> 00:00:37,280 well.com. She has an excellent podcast, and we are going to 9 00:00:37,280 --> 00:00:42,040 find out some secrets about AI client intelligence, so much 10 00:00:42,040 --> 00:00:44,260 more So Courtney, glad to be speaking with you. 11 00:00:44,560 --> 00:00:46,600 Courtney Baker: Yeah, thanks for having me. I'm really excited to 12 00:00:46,600 --> 00:00:48,220 be here, excited to have you. 13 00:00:48,220 --> 00:00:50,920 Robert Plank: And so we speaking of excitement, we hyped you up a 14 00:00:50,920 --> 00:00:53,740 little bit for the audience. Read your bio, but in your own 15 00:00:53,740 --> 00:00:56,860 words, what has you fired up? What are you super excited about 16 00:00:56,860 --> 00:00:57,280 lately? 17 00:00:57,700 --> 00:01:00,600 Courtney Baker: Well, I mean, obviously AI is all the hype is 18 00:01:00,600 --> 00:01:05,340 about AI, but I think some of that hype is very legitimate. I 19 00:01:05,340 --> 00:01:10,260 think we are at a point in history that is a really special 20 00:01:10,260 --> 00:01:14,340 time to be in business and really having to figure out how 21 00:01:14,340 --> 00:01:18,840 we're going to deploy AI in a really way that elevates 22 00:01:18,840 --> 00:01:23,540 humanity, that really elevates humanity and elevates our 23 00:01:23,540 --> 00:01:26,660 businesses. And so I think that's a really exciting thing. 24 00:01:26,660 --> 00:01:29,780 Of course, we've got to do it well, but it's one of those 25 00:01:29,780 --> 00:01:32,960 moments. It's kind of like at the end of the game in a tight 26 00:01:32,960 --> 00:01:35,960 basketball match, you know, I want to have the ball in my 27 00:01:35,960 --> 00:01:39,380 hands to go make that last shot. And I think for a lot of 28 00:01:39,380 --> 00:01:43,180 business leaders, we're thinking about AI that way as well of 29 00:01:43,360 --> 00:01:47,740 okay, we can. We've learned over the last couple decades of other 30 00:01:47,740 --> 00:01:51,400 digital transformations to kind of prepare us for this time. And 31 00:01:51,400 --> 00:01:53,560 I, I personally think it's an exciting time. 32 00:01:54,520 --> 00:01:57,460 Robert Plank: I agree it is a tool to be used properly, 33 00:01:57,520 --> 00:02:01,380 especially when you think about like chat GBT took up all of the 34 00:02:01,380 --> 00:02:04,560 the attention about the possibilities of AI, even though 35 00:02:04,620 --> 00:02:07,560 AI's been around for years, right? Amazon's been using it 36 00:02:07,560 --> 00:02:11,160 voice recognition. But, like, chat GBT stole the spotlight, 37 00:02:11,160 --> 00:02:15,360 and those first year or so, it sure put out some garbage text, 38 00:02:15,360 --> 00:02:18,240 didn't it? And you can almost, like, see if it's chat GBT 39 00:02:18,240 --> 00:02:21,260 generated. And like, you know, we're both podcasters, I'm sure 40 00:02:21,260 --> 00:02:24,260 you get pitches for guests, and I get all these, like, AI 41 00:02:24,260 --> 00:02:27,020 written pitches, and I'm just like, okay, I can tell it's AI. 42 00:02:27,020 --> 00:02:30,260 I'll skim it, I guess. I guess I'll still take the person, 43 00:02:30,260 --> 00:02:34,040 because I get what they meant to say. And then I'm also excited 44 00:02:34,040 --> 00:02:36,500 about, for example, like following up with guests, right? 45 00:02:36,500 --> 00:02:40,100 I have 1200 guests, and I just go and get all this stuff 46 00:02:40,100 --> 00:02:43,300 cranked out, get all these sort of personalized messages, but I 47 00:02:43,300 --> 00:02:45,880 still say, like, Okay, well, I'll go and I'll, I'll add my 48 00:02:45,880 --> 00:02:49,240 humanness to it and then, but I'll still the end result will 49 00:02:49,240 --> 00:02:53,680 be like, 10x 20x productivity in the end. So, but I'm always 50 00:02:53,680 --> 00:02:57,460 like, kind of navigating this very delicate balance between, 51 00:02:57,640 --> 00:03:00,960 well, I don't want to get left behind. I want to be productive, 52 00:03:01,080 --> 00:03:04,380 but I also don't want to just crank out a bunch of garbage 53 00:03:04,380 --> 00:03:07,140 articles, garbage follow ups. I wanted to use this tool 54 00:03:07,140 --> 00:03:11,640 properly, and so to help us understand what this known well 55 00:03:11,640 --> 00:03:15,540 tool is my understanding. Is it like helps you deal with your 56 00:03:15,540 --> 00:03:17,220 customers and clients? Is that right? 57 00:03:17,639 --> 00:03:20,839 Courtney Baker: That's exactly right. We, when we launched, 58 00:03:20,839 --> 00:03:25,459 known well, we had hundreds of conversations with professional 59 00:03:25,459 --> 00:03:30,019 service leaders. And you know, if you think about a really 60 00:03:30,019 --> 00:03:32,899 small, let's just say a marketing firm or small 61 00:03:32,899 --> 00:03:36,559 technology service firm, you usually have somebody in that 62 00:03:36,559 --> 00:03:41,259 company that is just really good at sitting in the middle of all 63 00:03:41,259 --> 00:03:44,799 of the customer interactions. You know, they're in the 64 00:03:44,799 --> 00:03:47,739 meetings, they see the emails, but they're really good at just 65 00:03:47,739 --> 00:03:51,879 intuitively being like, Hey, I think something's up with the 66 00:03:51,939 --> 00:03:56,079 frost account. And I think we should get our CEO to go have a 67 00:03:56,079 --> 00:03:59,499 conversation with their CEO. The problem is with professional 68 00:03:59,499 --> 00:04:03,119 service companies. You know, it's high touch, relates lots of 69 00:04:03,119 --> 00:04:06,779 relationships with lots of relationships on the other side. 70 00:04:07,139 --> 00:04:11,459 And as a professional service company, starts to scale that 71 00:04:11,459 --> 00:04:14,039 person sitting in the middle of all those different 72 00:04:14,039 --> 00:04:17,579 interactions, and being able to intuit what needs to happen 73 00:04:17,639 --> 00:04:21,979 starts to break down. It becomes impossible as you scale. And so 74 00:04:22,099 --> 00:04:25,159 what we started to build at known well was, well, now we 75 00:04:25,159 --> 00:04:29,419 have AI that can actually sit in the middle of all of that 76 00:04:29,479 --> 00:04:33,859 communication, exhaust all the structured data, the external 77 00:04:33,859 --> 00:04:38,119 data, and actually help prompt as humans like, hey, there's 78 00:04:38,119 --> 00:04:40,419 something going on with this account that you need to be 79 00:04:40,419 --> 00:04:45,639 aware of and really spur that action that way. And so we think 80 00:04:45,639 --> 00:04:48,579 it's going to be game changing for professional service 81 00:04:48,579 --> 00:04:53,199 companies, because unlike SaaS or E commerce, that have all 82 00:04:53,199 --> 00:04:57,159 that rich transactional data, you just don't have that on the 83 00:04:57,159 --> 00:05:02,219 professional service side, you have rich. Relationships. And so 84 00:05:02,219 --> 00:05:06,779 we're really excited to deploy our technology into those 85 00:05:06,779 --> 00:05:10,499 companies. And again, the whole premise is using the technology 86 00:05:10,499 --> 00:05:14,279 to actually elevate what only the human can do, which is be in 87 00:05:14,279 --> 00:05:16,379 relationship with other humans. 88 00:05:16,000 --> 00:05:20,860 Robert Plank: I love it. Clone yourself, in a way, and looking 89 00:05:20,860 --> 00:05:24,340 at the parts of your business that would not normally scale 90 00:05:24,340 --> 00:05:28,930 without AI and using it to do a better job. And so when you talk 91 00:05:28,930 --> 00:05:32,350 about professional service companies, what industries are 92 00:05:32,350 --> 00:05:34,750 that? Because I feel like I might know what that means, but 93 00:05:34,750 --> 00:05:35,440 I want to be sure, 94 00:05:36,220 --> 00:05:41,050 Courtney Baker: yeah. For our for our company, the the ideal 95 00:05:41,050 --> 00:05:46,720 fit is really those professional service companies that have a 96 00:05:46,720 --> 00:05:51,550 reoccurring structure and are really focused on executing on 97 00:05:51,550 --> 00:05:55,060 behalf of a company. You know, they're an extension of the 98 00:05:55,060 --> 00:05:58,660 company that they're serving. So it's marketing firms, it's 99 00:05:58,690 --> 00:06:03,940 accounting services, financial services, technology services, 100 00:06:04,600 --> 00:06:08,350 those types of companies within that broader bucket of 101 00:06:08,350 --> 00:06:10,930 professional services are the ones that we've built this 102 00:06:10,930 --> 00:06:11,560 product for 103 00:06:12,520 --> 00:06:16,000 Robert Plank: wonderful and so my next kind of item in the 104 00:06:16,000 --> 00:06:20,440 mental agenda is understanding the user story. And so say you 105 00:06:20,440 --> 00:06:22,990 have some accounting firm, marketing firm, and they're 106 00:06:22,990 --> 00:06:26,020 using your tool. Where does the data come from? Is it like 107 00:06:26,020 --> 00:06:29,050 looking at the email, the communication like, what are the 108 00:06:29,050 --> 00:06:30,190 inputs and outputs? 109 00:06:30,550 --> 00:06:33,850 Courtney Baker: Exactly as a great question. And so a lot of 110 00:06:33,850 --> 00:06:39,940 times, we don't think of our email or Zoom calls as data, but 111 00:06:39,940 --> 00:06:42,790 they actually are. They're actually incredibly rich data 112 00:06:42,790 --> 00:06:47,410 sources for our companies and so for known well, what we do is we 113 00:06:47,410 --> 00:06:53,020 bring in all of your email, all of your slack, whatever your 114 00:06:53,020 --> 00:06:58,570 communication channels are, as well as any video technology 115 00:06:58,570 --> 00:07:02,200 that you're using with your meetings with your clients, and 116 00:07:02,200 --> 00:07:05,650 then all of your structured data that already exists today, like 117 00:07:05,650 --> 00:07:11,110 your CRM, and then external data to really feed the intelligence. 118 00:07:11,110 --> 00:07:13,810 You know, we believe that in the future, our companies will 119 00:07:13,810 --> 00:07:16,720 really have an intelligence that sits in the middle of the 120 00:07:16,720 --> 00:07:20,560 organization. You know, a lot of times now, you might think of 121 00:07:20,770 --> 00:07:24,910 your CRM being the hub of the organization and really being 122 00:07:24,910 --> 00:07:30,190 the record keeper of what's happening with clients, but in a 123 00:07:30,190 --> 00:07:35,200 lot of ways, it is just a record of what has happened. And what 124 00:07:35,200 --> 00:07:38,770 we're moving to is these intelligence that can actually 125 00:07:38,770 --> 00:07:43,180 help us see what might happen based on all the inputs. It's, 126 00:07:43,180 --> 00:07:46,750 again, what a human does in that small firm of just being able to 127 00:07:46,750 --> 00:07:50,050 intuit from all these different pieces and say, Hey, I 128 00:07:50,080 --> 00:07:53,710 something's going on with that account. We're really moving 129 00:07:53,710 --> 00:07:57,730 towards this more proactive intelligence at the hub of our 130 00:07:57,730 --> 00:07:58,660 organizations. 131 00:07:59,680 --> 00:08:01,900 Robert Plank: Very nice. You're onto something. You're onto a 132 00:08:01,900 --> 00:08:05,350 fun mission. So instead of using the CRM to look at the past, you 133 00:08:05,350 --> 00:08:10,270 have AI to predict more of the future. And any of us that has a 134 00:08:10,270 --> 00:08:15,250 roster of clients understands the pain of 8020 where you have 135 00:08:15,280 --> 00:08:19,180 that 20% of clients that are just kind of problematic in one 136 00:08:19,180 --> 00:08:22,720 way or another, and it would be good to know where to focus our 137 00:08:22,720 --> 00:08:26,380 attention, what to work on, what to fix that way, like the look 138 00:08:26,380 --> 00:08:30,310 alike of our ideal clients is replicated in that way, and so 139 00:08:30,310 --> 00:08:33,640 help us understand, like, who's using this like, do you have, 140 00:08:33,640 --> 00:08:36,250 like, a fun case study of someone that, like, plug in all 141 00:08:36,250 --> 00:08:40,240 this data, email, Zoom calls, structured data, CRM, all that 142 00:08:40,270 --> 00:08:43,930 Put it together and gave them some kind of insights to change 143 00:08:43,930 --> 00:08:44,710 their trajectory? 144 00:08:44,980 --> 00:08:46,990 Courtney Baker: Yeah, absolutely. And matter of fact, 145 00:08:47,440 --> 00:08:51,190 one thing that we've built this for is not just account managers 146 00:08:51,190 --> 00:08:53,560 on the ground, which it certainly will help them, you 147 00:08:53,560 --> 00:08:57,640 know, like you said, not just let email dictate what they're 148 00:08:57,640 --> 00:09:01,240 doing today or which customer is yelling the loudest. It really 149 00:09:01,240 --> 00:09:04,570 helped them prioritize what actions they should take, but 150 00:09:04,570 --> 00:09:07,540 all the way up to the very senior leaders in the 151 00:09:07,540 --> 00:09:11,200 organization, of actually being able to get that those insights 152 00:09:11,200 --> 00:09:14,260 and that intelligence across the entire portfolio. So some of 153 00:09:14,260 --> 00:09:18,700 those, sometimes it's hard to see through the forest. Actually 154 00:09:18,700 --> 00:09:21,970 see, oh, man, there are connection points across the 155 00:09:21,970 --> 00:09:26,140 organization, that, hey, if we fix this thing operationally, we 156 00:09:26,140 --> 00:09:29,620 could really get we could really move the needle in our business, 157 00:09:29,620 --> 00:09:32,980 and those things we're really excited about as well. 158 00:09:34,000 --> 00:09:36,520 Robert Plank: And what kind of missing connections are showing 159 00:09:36,520 --> 00:09:36,910 up? 160 00:09:37,180 --> 00:09:39,760 Courtney Baker: Yeah. Well, here's that one great example, 161 00:09:39,760 --> 00:09:43,420 one use case from one of our customers. They have an existing 162 00:09:43,420 --> 00:09:46,840 company. They've acquired a new business. So right now, when you 163 00:09:46,840 --> 00:09:50,500 talk to professional service firms, even highly successful 164 00:09:50,500 --> 00:09:54,190 ones, what's happening is their account managers are going 165 00:09:54,220 --> 00:09:58,900 customer by customer and marking it red, yellow, green. I've 166 00:09:58,900 --> 00:10:02,620 heard it over and over. For again, and that is highly 167 00:10:02,620 --> 00:10:06,160 subjective and manual and delayed, you know, it's 168 00:10:06,160 --> 00:10:11,770 basically a subjective outcome of what they feel like is 169 00:10:11,770 --> 00:10:16,000 happening in the relationship. But they have acquired another 170 00:10:16,000 --> 00:10:19,690 company, and there's a lot, you know, even with it being 171 00:10:19,690 --> 00:10:22,510 subjective, you've now got a different company that you know 172 00:10:22,510 --> 00:10:26,260 the way that they Intuit different things, their red, 173 00:10:26,260 --> 00:10:30,040 yellow, green may be highly different than the existing 174 00:10:30,040 --> 00:10:34,630 company. And so having known well across all of those 175 00:10:35,380 --> 00:10:37,990 individuals, across those two companies that are coming 176 00:10:37,990 --> 00:10:41,530 together, has been a huge win for them, because they are able 177 00:10:41,530 --> 00:10:46,480 to see very quickly how they're doing in one side of the 178 00:10:46,480 --> 00:10:49,600 organization versus the other side of the organization. It 179 00:10:49,600 --> 00:10:53,260 basically gives this objective real time look at what's 180 00:10:53,260 --> 00:10:56,590 happening and where they need to deploy resources. 181 00:10:57,610 --> 00:10:59,800 Robert Plank: And do you have any sort of fun surprises to 182 00:10:59,800 --> 00:11:02,020 share along these lines? Because that's always where the fun is, 183 00:11:02,020 --> 00:11:06,220 right? As you say, well, I feed it in my data, and I have my 184 00:11:06,220 --> 00:11:09,100 expectations about where to deploy my resources or what to 185 00:11:09,100 --> 00:11:13,030 do differently, but sometimes the AI, it has like a kind of a 186 00:11:13,030 --> 00:11:17,470 magic black box effect on it. So what have you seen, or what have 187 00:11:17,470 --> 00:11:20,770 your customers seen, about just the unexpected surprises using 188 00:11:20,770 --> 00:11:21,250 this tool. 189 00:11:22,360 --> 00:11:25,750 Courtney Baker: You know one thing that it may not be exactly 190 00:11:25,750 --> 00:11:29,140 what you're asking, but I've seen it multiple times where 191 00:11:29,560 --> 00:11:34,210 mainly CEOs in this these organizations, when they get in 192 00:11:34,210 --> 00:11:39,430 and they see what known well is producing these insights, it's 193 00:11:39,460 --> 00:11:42,700 almost immediate that they're like, oh, man, we need to do 194 00:11:42,700 --> 00:11:46,450 something about that. We can fix that by x, y and z. But because 195 00:11:46,480 --> 00:11:50,620 the it wasn't ever surfaced to them, they just weren't able to 196 00:11:50,620 --> 00:11:54,370 see it in a way that they could problem solve it. And so over 197 00:11:54,370 --> 00:12:01,210 and over again, things as simple as basically a process issue 198 00:12:01,210 --> 00:12:05,440 with something not getting there in delayed time, the CEO is able 199 00:12:05,440 --> 00:12:09,970 to see that really quickly and problem solve it in real time, 200 00:12:10,000 --> 00:12:13,750 which has been incredible to see. That's happened multiple 201 00:12:13,750 --> 00:12:19,810 times against multiple use cases of just seeing the intelligence 202 00:12:19,810 --> 00:12:25,060 in a really objective way has helped them really look at, how 203 00:12:25,060 --> 00:12:28,030 am I going to drive this business forward and drive their 204 00:12:28,030 --> 00:12:29,140 strategy differently? 205 00:12:30,220 --> 00:12:31,870 Robert Plank: And that seems to be a recurring theme in our 206 00:12:31,870 --> 00:12:36,220 conversation here, the human bias of the well, you have your 207 00:12:36,220 --> 00:12:38,980 judgment. Someone else has this judgment. You acquire some 208 00:12:38,980 --> 00:12:41,770 company, and whatever was brought along. They have their 209 00:12:41,770 --> 00:12:45,310 own kind of judgment. It helps to have that objectivity. And 210 00:12:45,310 --> 00:12:49,630 then also, I mean, people are weird about receiving advice and 211 00:12:49,630 --> 00:12:52,120 who the advice comes from. And you have to be careful about 212 00:12:52,180 --> 00:12:54,850 like, presenting and selling your idea, getting someone on 213 00:12:54,850 --> 00:12:59,680 board. But if you say, hey, the cold, hard tool, the computer, 214 00:12:59,680 --> 00:13:04,090 cloud machine, says, here's our conclusions, that in a way 215 00:13:04,090 --> 00:13:06,040 that's a little easier to take, because you're saying, Well, 216 00:13:06,040 --> 00:13:10,720 it's, it's data driven, not necessarily on feelings or 217 00:13:10,720 --> 00:13:14,950 opinions. That might be a little better way to get the message 218 00:13:14,950 --> 00:13:18,100 across, to act differently. And you're also mentioning about 219 00:13:18,160 --> 00:13:21,370 acting in a timely fashion, right, using this real time data 220 00:13:21,550 --> 00:13:26,140 doing making the change before the problem is bigger, before 221 00:13:26,140 --> 00:13:29,020 you lose the client, before the budget's wrong. And that's some 222 00:13:29,020 --> 00:13:34,270 really exciting stuff. And so as you know, being a business owner 223 00:13:34,270 --> 00:13:36,940 is hard, right, and building something and getting people to 224 00:13:36,940 --> 00:13:42,130 use it. So I'm curious about your awkward growing pains. So 225 00:13:42,160 --> 00:13:45,700 has there been difficulty in getting the product work or 226 00:13:45,700 --> 00:13:48,610 getting the word out? Like, what sort of struggles have you 227 00:13:48,610 --> 00:13:52,660 personally gone through, getting known well, on board with people 228 00:13:52,660 --> 00:13:53,110 and companies? 229 00:13:53,110 --> 00:13:56,770 Courtney Baker: Yeah, that's a great question. And I mean, at 230 00:13:56,770 --> 00:14:00,490 someone this was actually my first time in a startup, from 231 00:14:00,520 --> 00:14:04,870 zero to one, and it's a unique season. So if you've never 232 00:14:04,870 --> 00:14:08,830 experienced it, well, I you know, even as I say, that it's 233 00:14:08,830 --> 00:14:13,780 not for everyone, because it is a unique journey, and some 234 00:14:13,780 --> 00:14:17,650 people might call it throwing spaghetti at the wall, but in so 235 00:14:17,650 --> 00:14:22,300 many ways, it's so experimental, of really trying to hone in on 236 00:14:22,480 --> 00:14:28,300 who your ICP is, and then that constant experimental mindset of 237 00:14:28,810 --> 00:14:34,090 developing messages and really understanding your customer in a 238 00:14:34,090 --> 00:14:38,020 way, to find things that resonate or not, and that or not 239 00:14:38,020 --> 00:14:43,840 is Really powerful as well. And so you know that is, it's hard. 240 00:14:43,960 --> 00:14:47,590 It's hard going from zero to one. That's why it's a fun 241 00:14:47,590 --> 00:14:50,470 journey. But it's not for everybody, and I would say 242 00:14:50,470 --> 00:14:54,610 experiencing that for the first time, it is that mental 243 00:14:54,640 --> 00:14:58,870 resiliency over and over again, of when something doesn't work 244 00:14:58,870 --> 00:15:02,770 the way that you thought. It would to have the stamina to 245 00:15:02,770 --> 00:15:07,840 keep pushing ahead. And so, yes, certainly times that we've tried 246 00:15:07,840 --> 00:15:12,460 things that didn't work, times that we've thought something 247 00:15:12,460 --> 00:15:15,730 didn't work, that all of a sudden, you know, a new, you 248 00:15:15,730 --> 00:15:19,900 know, change in the audience, all of a sudden it does work, 249 00:15:20,140 --> 00:15:25,300 and just sticking with it over time and really keeping track of 250 00:15:25,300 --> 00:15:28,930 those adjustments that we're making until we get to the point 251 00:15:28,930 --> 00:15:33,070 that we start to see traction. And we've been in a really great 252 00:15:33,070 --> 00:15:38,560 season of of selling new customers right in our ICP that 253 00:15:38,560 --> 00:15:39,850 we're really excited about. 254 00:15:41,140 --> 00:15:43,270 Robert Plank: Well, you're you're mentioning something here 255 00:15:43,270 --> 00:15:47,350 that I probably forget about once a month, and then remember 256 00:15:47,350 --> 00:15:51,010 again and forget again, which is this idea of that your customers 257 00:15:51,010 --> 00:15:54,010 are people, and that they have their own needs, and we need to 258 00:15:54,010 --> 00:15:58,750 kind of recurringly think about their fears and frustrations and 259 00:15:58,750 --> 00:16:03,460 what interests them and what gets them to take action? And 260 00:16:03,610 --> 00:16:08,560 it's it's really easy to fall back on making your product 261 00:16:08,560 --> 00:16:11,290 really good, which is important, but like, that's not the focus 262 00:16:11,290 --> 00:16:14,590 right? Or on your marketing, your messaging, but sometimes 263 00:16:14,590 --> 00:16:16,570 that's hit or miss. And so you're saying that sometimes, if 264 00:16:16,570 --> 00:16:19,930 it's maybe, like, this feature that really excites you, doesn't 265 00:16:19,930 --> 00:16:22,810 excite them, or maybe it needs to be developed better or 266 00:16:22,810 --> 00:16:25,480 presented better, or the timing's not right. And so 267 00:16:25,480 --> 00:16:28,060 instead of driving ourselves crazy, you think, well, who are 268 00:16:28,060 --> 00:16:32,020 these people that I'm trying to help? And perhaps that helps to 269 00:16:32,080 --> 00:16:35,470 motivate you through the frustrations when things don't 270 00:16:35,470 --> 00:16:39,880 always go the way you want. And let's let's be real. It's life. 271 00:16:39,940 --> 00:16:42,970 You always have unexpectedness happening all the time, but 272 00:16:43,000 --> 00:16:46,150 you're like, Well, who am I seeking to help and serve? And 273 00:16:46,240 --> 00:16:49,720 where are they stuck without me? And now my solution can get them 274 00:16:49,720 --> 00:16:52,600 there, and everyone will be happy once we solve some of 275 00:16:52,600 --> 00:16:56,590 these hard problems. But there's a reward after we're getting to 276 00:16:56,590 --> 00:16:59,710 the other side. And so speaking of getting to that other side, 277 00:16:59,800 --> 00:17:03,610 what are you working on now? What's the current, like, 278 00:17:03,610 --> 00:17:07,420 personal challenge, or what's your business striving to as far 279 00:17:07,420 --> 00:17:10,570 as, like, new customers, new features is what's happening 280 00:17:10,630 --> 00:17:11,740 headed towards the future? 281 00:17:11,980 --> 00:17:15,520 Courtney Baker: Yeah, we're really we just closed our seed 282 00:17:15,520 --> 00:17:19,810 round in September, and so we're really excited about having that 283 00:17:19,810 --> 00:17:23,830 influx of funding and really being able to build out the 284 00:17:23,920 --> 00:17:28,570 product to the next level. And, you know, unlike a lot of AI 285 00:17:28,630 --> 00:17:33,280 tools, and there's so many right now, and they're great, but most 286 00:17:33,280 --> 00:17:37,630 of them are for individual productivity, and hopefully, as 287 00:17:38,140 --> 00:17:40,780 you've probably caught on, what we're building at known well is 288 00:17:40,780 --> 00:17:45,040 not at that execution level, it's at the operation level of 289 00:17:45,040 --> 00:17:48,400 the organization. And so it really hits on, how do we work 290 00:17:48,550 --> 00:17:52,660 together? And I think there's going to be more and more tools 291 00:17:52,660 --> 00:17:56,050 that you'll see Native AI technology at that level, which 292 00:17:56,050 --> 00:18:00,220 is exciting, but I think we're one of those companies, and so 293 00:18:00,370 --> 00:18:04,060 we're really excited about deploying more of our 294 00:18:04,090 --> 00:18:09,760 Operational Insights within organizations, and deploying 295 00:18:09,760 --> 00:18:13,240 more of turning those intelligence, those insights, 296 00:18:13,300 --> 00:18:17,620 into action inside these companies. And so that's that's 297 00:18:17,620 --> 00:18:21,250 what we're building right now, and working with our Early 298 00:18:21,250 --> 00:18:26,290 Access customers on and I would say, for me personally, in and I 299 00:18:26,290 --> 00:18:30,100 think this is good for all of us, marketers, when things get 300 00:18:30,100 --> 00:18:35,260 tough or we get stuck, getting with our customers can unlock so 301 00:18:35,260 --> 00:18:39,220 much. Matter of fact, when you were talking just a moment ago, 302 00:18:39,220 --> 00:18:44,860 I there's a piece of our product that is a relationship map. It's 303 00:18:44,860 --> 00:18:49,810 kind of almost like a heat map for your relationships and the 304 00:18:50,200 --> 00:18:52,840 the customer, all the relationships within your 305 00:18:52,840 --> 00:18:56,740 customer. And it just shows the health of each one of those 306 00:18:57,790 --> 00:19:03,100 different connections. And I honestly, when I saw it in our 307 00:19:03,100 --> 00:19:08,080 product, I was like, Oh, this is cool, but our customers loved 308 00:19:08,080 --> 00:19:13,060 it, because they are so mindful and professional services people 309 00:19:13,210 --> 00:19:16,390 is what, what their business is? You know, it's people serving 310 00:19:16,420 --> 00:19:20,470 companies and so. But had I not been on that call with a 311 00:19:20,470 --> 00:19:25,660 customer to see them like, oh, wow, this is amazing. I wouldn't 312 00:19:25,660 --> 00:19:28,750 have known that. So just a note for all of us, like, it's so 313 00:19:28,750 --> 00:19:31,840 helpful to get with our customers and just hear from 314 00:19:31,840 --> 00:19:37,000 them specifically to help us drive and get get unstuck, get 315 00:19:37,000 --> 00:19:37,780 to the next level. 316 00:19:38,560 --> 00:19:40,990 Robert Plank: That's powerful too. Because, like, yeah, I was 317 00:19:40,990 --> 00:19:43,060 thinking about the like motivation terms, but you're 318 00:19:43,060 --> 00:19:46,330 saying also, just to get those insights and to see what makes 319 00:19:46,330 --> 00:19:50,350 your customers come alive, and in in tech and programming, 320 00:19:50,350 --> 00:19:53,230 that's huge, right, looking over your customers shoulder and just 321 00:19:53,230 --> 00:19:57,160 seeing what what they do, or if they're trying to find some 322 00:19:57,160 --> 00:20:00,220 menu, or you're like, hey, I don't even know, people. Use 323 00:20:00,220 --> 00:20:03,010 that feature, and that's huge. And it's, these are some great 324 00:20:03,010 --> 00:20:06,790 insights. And just it's, it's easy to not know or forget or to 325 00:20:06,790 --> 00:20:11,200 ignore some of this fundamental advice, but that's what will get 326 00:20:11,200 --> 00:20:14,260 us through and get us to some of these goals and and, you know, 327 00:20:14,290 --> 00:20:17,290 have us build the company of our dreams. And so in our last few 328 00:20:17,290 --> 00:20:20,860 minutes here, I'm always looking for, okay, like my guests came 329 00:20:20,860 --> 00:20:23,530 here, and they have all these things. They have all these 330 00:20:23,770 --> 00:20:27,100 interesting stories and advice, but sometimes I don't know 331 00:20:27,130 --> 00:20:30,700 exactly the right question to ask. So in our conversation 332 00:20:30,700 --> 00:20:33,310 here, Courtney, is there, like a missing, hidden, invisible 333 00:20:33,310 --> 00:20:36,670 question, is there something that you wish I would ask you, 334 00:20:36,670 --> 00:20:38,020 but I just don't know to ask it? 335 00:20:38,980 --> 00:20:41,740 Courtney Baker: Um, you know, I will phrase it like this. I 336 00:20:41,740 --> 00:20:47,110 think there is having an understanding of where we are in 337 00:20:47,110 --> 00:20:53,590 the AI journey, where we are at with the technology, where in 338 00:20:53,590 --> 00:20:57,760 whatever business you're in at whatever level, is incredibly 339 00:20:57,760 --> 00:21:02,380 powerful. And so I would that's more the answer to the question 340 00:21:02,380 --> 00:21:05,860 you you that I think might be helpful for people is just to 341 00:21:05,860 --> 00:21:10,600 understand we are at the very beginning and really starting to 342 00:21:10,600 --> 00:21:15,460 understand where the technology is going to go. For example, you 343 00:21:15,460 --> 00:21:18,340 know, I mentioned earlier of moving up to that operations 344 00:21:18,340 --> 00:21:22,600 level in a business, you know, we've been in the, really the 345 00:21:22,600 --> 00:21:28,450 execution level with things like chat, GBT and coding tools. I 346 00:21:28,450 --> 00:21:33,310 mean, there's innumerable at this point, but understanding 347 00:21:33,340 --> 00:21:37,270 the levels of business and how AI is going to be deployed as as 348 00:21:37,270 --> 00:21:40,540 the technology progresses is incredibly powerful. 349 00:21:41,710 --> 00:21:43,720 Robert Plank: I agree that's helpful to think about what are 350 00:21:43,720 --> 00:21:46,840 those marketplace cycles? What is it going to evolve into? 351 00:21:46,840 --> 00:21:50,020 Where is it going to be used? How is it going to mature? It's 352 00:21:50,020 --> 00:21:54,310 enough to drive someone crazy, but that's why we need to be 353 00:21:54,310 --> 00:21:58,180 informed over time and not have to play catch up. It's never fun 354 00:21:58,330 --> 00:22:01,240 to cram for a test, but if you just do a little bit of studying 355 00:22:01,240 --> 00:22:05,020 over time and seeing what interests you, what your 356 00:22:05,020 --> 00:22:08,770 competitors are doing, what you can tap into. Then that's a 357 00:22:08,770 --> 00:22:14,530 helpful dose over time to just help us to stay informed, to 358 00:22:14,530 --> 00:22:17,650 stay up to date, so that way our companies don't get left behind 359 00:22:17,650 --> 00:22:20,830 with AI. That way we know that these amazing tools, such as 360 00:22:20,830 --> 00:22:25,090 known well exist and that we can tune into your podcast as well. 361 00:22:25,090 --> 00:22:27,610 That way we can just stay up to date on what's happening with AI 362 00:22:27,610 --> 00:22:30,340 and so speaking to that, we're at the point on the show where 363 00:22:30,340 --> 00:22:33,310 we're saying, Okay, well, Courtney had some great advice, 364 00:22:33,370 --> 00:22:36,820 known Well, sounds amazing. She gave me a little bit of some 365 00:22:36,820 --> 00:22:39,190 homework assignments. Seem to think about in my own business. 366 00:22:39,280 --> 00:22:41,650 But that only gets us so far, right? That only gives us a 367 00:22:41,650 --> 00:22:44,980 little bit of a taste. So to find out more about you and your 368 00:22:44,980 --> 00:22:47,980 company and your podcast and known well, and just any other 369 00:22:48,070 --> 00:22:53,800 next steps, what should an eager, engaged podcast listener 370 00:22:53,800 --> 00:22:56,650 do at this point? Where should they go to find out more about 371 00:22:56,650 --> 00:22:57,850 you and what you have going on? 372 00:22:58,260 --> 00:23:01,560 Courtney Baker: Yeah, well, you ca n find us @knownwell.com and 373 00:23:01,560 --> 00:23:05,940 specifically, I'd love to point you towards a demo of what we're 374 00:23:05,940 --> 00:23:08,670 building, of our platform, our team would love to talk to you, 375 00:23:08,670 --> 00:23:12,330 if nothing else, to get your feedback on what we're building. 376 00:23:12,330 --> 00:23:16,050 So again, you could do that@knownwell.com and our 377 00:23:16,050 --> 00:23:20,880 podcast is called AI, know how it's really for executives and 378 00:23:20,880 --> 00:23:25,560 helping break down how to think about AI in your business. And 379 00:23:25,560 --> 00:23:29,880 you can find me personally at LinkedIn, @courtbaker, 380 00:23:30,990 --> 00:23:35,850 Robert Plank: very nice. So that is known well.com. K, N, O, W, 381 00:23:35,880 --> 00:23:40,650 N, W, E, L, L.com. I'm sure you're a podcaster. You spell 382 00:23:40,650 --> 00:23:43,320 things out once I start spelling like, I hope I don't mess a 383 00:23:43,320 --> 00:23:49,080 letter here, known well.com and then the AI, known AI know how 384 00:23:49,080 --> 00:23:53,640 podcast, and then Courtney Baker on LinkedIn. And so as we're 385 00:23:53,640 --> 00:23:56,430 checking out those resources, as we're going there again, 386 00:23:56,460 --> 00:24:01,620 podcasting inside baseball, it's always nice to have the reels, 387 00:24:01,620 --> 00:24:05,280 the clips, and so this is where I asked my guest about a fun 388 00:24:05,280 --> 00:24:09,090 quote or lesson that has helped them in their life or their 389 00:24:09,090 --> 00:24:13,920 business that they can pass on to us. So for viral clip, real 390 00:24:13,920 --> 00:24:18,450 purposes, Courtney Baker, what is a fun quote or lesson that 391 00:24:18,450 --> 00:24:20,880 has served you that you can pass on to us, 392 00:24:21,600 --> 00:24:23,850 Courtney Baker: I would say, whatever level of the 393 00:24:23,850 --> 00:24:28,680 organization you're in right now, you need to be setting time 394 00:24:28,710 --> 00:24:32,910 aside to get your hands on these AI tools. And this is probably 395 00:24:32,910 --> 00:24:35,700 specifically for executives, because if you're on the ground, 396 00:24:35,700 --> 00:24:38,640 you may be already doing that, but if you're an executive, make 397 00:24:38,640 --> 00:24:42,690 sure that you're also setting time each week to get your hands 398 00:24:42,690 --> 00:24:45,960 on these tools so that as the technology progresses, you 399 00:24:46,020 --> 00:24:48,000 understand the capabilities. 400 00:24:49,410 --> 00:24:52,500 Robert Plank: Very nice advice, stay informed, get your hands on 401 00:24:52,500 --> 00:24:55,200 these tools. Experiment, play around, get some results, 402 00:24:55,260 --> 00:24:58,440 because another tool will come along in a few weeks or months, 403 00:24:58,560 --> 00:25:01,500 and that way you can just. Just get in this good habit, 404 00:25:01,500 --> 00:25:04,830 especially as you said, at the executive level, of knowing 405 00:25:04,830 --> 00:25:07,920 what's possible, knowing what your business should be doing, 406 00:25:08,070 --> 00:25:11,790 and the next step to get informed is, as we said, Go to 407 00:25:11,790 --> 00:25:16,020 known well.com, go there, get that demo scheduled. That way 408 00:25:16,020 --> 00:25:19,050 you can play around, use that to watch a video, see how it's 409 00:25:19,050 --> 00:25:23,790 done. And then the A, I know how podcast, because AI has changed 410 00:25:23,790 --> 00:25:27,060 so much in these last few years. Who knows where it's going? Who 411 00:25:27,060 --> 00:25:31,140 knows what will be possible in the coming decades? Our brains 412 00:25:31,140 --> 00:25:35,610 can't even imagine, but you can find out from Courtney and her 413 00:25:35,610 --> 00:25:39,450 company and her team known well.com. AI know how podcast, 414 00:25:39,480 --> 00:25:41,730 very nice speaking with you today. Courtney, you too. 415 00:25:41,730 --> 00:25:42,600 Courtney Baker: Thanks for having me. 416 00:25:45,760 --> 00:25:47,560 Robert Plank: I really appreciate you being a listener 417 00:25:47,560 --> 00:25:50,560 of the marketer of the day podcast. The place to go right 418 00:25:50,560 --> 00:25:53,560 now, if you want to know more about running your own podcast, 419 00:25:53,560 --> 00:25:59,560 is d f y podcast.com/free, go there right now. Claim your free 420 00:25:59,560 --> 00:26:03,960 gift. D f y podcast.com/ dot com, slash, free, you.