Meeting Title: Brainforge x D&G | AI-Agency Overview Date: 2026-02-24 Meeting participants: Luke Scorziell, Pranav Narahari, IT Department
WEBVTT
1 00:01:15.710 ⇒ 00:01:16.750 Luke Scorziell: Hey, Pranav.
2 00:01:17.150 ⇒ 00:01:17.919 Pranav Narahari: Hey, Luke.
3 00:01:18.460 ⇒ 00:01:19.350 Luke Scorziell: I’ll be gone.
4 00:01:19.930 ⇒ 00:01:21.349 Pranav Narahari: Pretty good, pretty good.
5 00:01:24.300 ⇒ 00:01:25.750 Luke Scorziell: Email return.
6 00:02:56.070 ⇒ 00:02:57.250 Luke Scorziell: Shoot on the app.
7 00:02:57.680 ⇒ 00:02:59.340 Luke Scorziell: The link, too, in a second.
8 00:03:00.570 ⇒ 00:03:01.240 Pranav Narahari: What’s that?
9 00:03:01.670 ⇒ 00:03:05.709 Luke Scorziell: I can shoot him a link, too, in a second. It’s always, like, the longest few minutes before our…
10 00:03:07.780 ⇒ 00:03:08.730 Luke Scorziell: Oh, it joins.
11 00:04:53.010 ⇒ 00:04:54.819 Pranav Narahari: This is your first call with them, right?
12 00:04:55.100 ⇒ 00:04:56.630 Luke Scorziell: Yeah, yeah.
13 00:04:57.030 ⇒ 00:04:58.049 Pranav Narahari: Gotcha, gotcha.
14 00:04:58.420 ⇒ 00:05:00.129 Luke Scorziell: Let me just… I’ll shoot in there.
15 00:05:01.370 ⇒ 00:05:02.790 Luke Scorziell: Email up the link.
16 00:05:04.230 ⇒ 00:05:07.479 Luke Scorziell: We’ll just say if the app needs to reschedule now, no worries.
17 00:05:10.940 ⇒ 00:05:13.110 Pranav Narahari: All good for me. We can do a little bit more prep.
18 00:05:13.880 ⇒ 00:05:14.750 Luke Scorziell: Yeah, true.
19 00:05:29.770 ⇒ 00:05:35.370 Luke Scorziell: Yeah, I think… I don’t know if you saw that document that, clarence, then.
20 00:05:36.990 ⇒ 00:05:38.410 Pranav Narahari: the social value.
21 00:05:39.060 ⇒ 00:05:43.260 Luke Scorziell: Yeah, maybe you’ve gone through it already, but it was helpful, like, for seeing.
22 00:05:44.220 ⇒ 00:05:46.939 Pranav Narahari: Oh, I actually need access to it. Interesting.
23 00:05:47.100 ⇒ 00:05:49.350 Luke Scorziell: I think it’s in the Slack chat, actually.
24 00:05:49.870 ⇒ 00:05:52.069 Luke Scorziell: But I can… I can give you…
25 00:05:53.400 ⇒ 00:05:56.490 Pranav Narahari: Oh, like, it’s… it’s a link, right, to Notion?
26 00:05:57.080 ⇒ 00:05:59.490 Luke Scorziell: Yeah, yeah, but you can also.
27 00:06:05.260 ⇒ 00:06:10.140 Pranav Narahari: Maybe I just needed to accept it. Let’s see if I try it again… Oh yeah, I’m here.
28 00:06:10.990 ⇒ 00:06:11.670 Pranav Narahari: Cool.
29 00:08:09.340 ⇒ 00:08:10.740 IT Department: Hey, Luke.
30 00:08:10.950 ⇒ 00:08:12.450 Luke Scorziell: Hey, Josh, how’s it going?
31 00:08:12.450 ⇒ 00:08:16.890 IT Department: Good. Sorry, man, I got stuck in a Zoom update loop thing.
32 00:08:17.180 ⇒ 00:08:22.079 Luke Scorziell: You’re good, I guess it happens to even the IT experts.
33 00:08:22.230 ⇒ 00:08:28.780 IT Department: We don’t… we don’t use Zoom here, so it doesn’t, we don’t often, have to open it, so yeah, we get stuck.
34 00:08:28.780 ⇒ 00:08:34.350 Luke Scorziell: Oh, yeah, that’s funny. Well, thanks for… for making time, I appreciate, yeah, you…
35 00:08:34.350 ⇒ 00:08:35.030 IT Department: Okay.
36 00:08:35.030 ⇒ 00:08:37.220 Luke Scorziell: Been willing to hop on a call and… Of course.
37 00:08:37.460 ⇒ 00:08:39.640 Luke Scorziell: And chat with us, so,
38 00:08:39.929 ⇒ 00:08:46.920 Luke Scorziell: Yeah, excited to chat. I don’t know if you had any kind of questions or anything, just… I’m happy to kind of intro who I am and…
39 00:08:46.920 ⇒ 00:09:04.110 IT Department: I’m, you know, I’m just curious about, what you’ve got. You know, obviously, we’re facing AI challenges, just like everybody else is, trying to figure out the right way to use it, trying to figure out which one is the right one, and it changes daily. So, yeah, just curious to see what you guys are doing.
40 00:09:04.370 ⇒ 00:09:16.650 Luke Scorziell: Yeah, well, we can’t… so, and this is Pranav. He is the… one of the engineering leads on, some of the agency clients that we have, and so he can kind of speak to technical.
41 00:09:16.650 ⇒ 00:09:17.530 IT Department: Yeah.
42 00:09:17.530 ⇒ 00:09:18.470 Pranav Narahari: Nice to meet you.
43 00:09:18.470 ⇒ 00:09:19.459 IT Department: Nice to meet you.
44 00:09:19.460 ⇒ 00:09:28.029 Luke Scorziell: Yeah, I mean, I think that, like, just Brainforge as a whole, like, what we really work on, and kind of what I think was in that, white paper, is
45 00:09:28.150 ⇒ 00:09:43.580 Luke Scorziell: kind of forging, like, a knowledge base, forging the brain, so to say, of companies, because I think what we’re finding is that AI implementation has looked like, kind of like what you alluded to, like, finding the right model and testing to see which one’s better and which one’s not, but what we’re finding is that
46 00:09:44.000 ⇒ 00:09:48.410 Luke Scorziell: Actually, the real return on investment comes from
47 00:09:48.530 ⇒ 00:09:54.640 Luke Scorziell: like, very specific tasks that you can give AI. So, like, in that brief, like, reporting.
48 00:09:54.640 ⇒ 00:09:55.080 IT Department: Yep.
49 00:09:55.080 ⇒ 00:10:00.940 Luke Scorziell: Brief generation, and then having a knowledge base that connects, like, the entire team.
50 00:10:00.940 ⇒ 00:10:01.860 IT Department: So…
51 00:10:01.860 ⇒ 00:10:06.319 Luke Scorziell: Yeah, I’d be curious, too, to know, I guess, where you guys are at currently with AI, like, what is…
52 00:10:06.370 ⇒ 00:10:09.190 IT Department: What does it look like, at David and Goliath?
53 00:10:09.460 ⇒ 00:10:15.920 IT Department: Well, I can’t give away too much information, due to NDAs, but I’ll tell you the models.
54 00:10:16.050 ⇒ 00:10:32.689 IT Department: or the services that we currently use are Copilot, ChatGPT, Adobe Firefly, Shutterstock, AI, and we’ve been… I think it’s called Crea, is, one we’ve been testing.
55 00:10:34.710 ⇒ 00:10:39.230 Luke Scorziell: So, and they’re all third-party solutions? Like, none of them are built specifically for…
56 00:10:39.230 ⇒ 00:10:46.389 IT Department: Yeah, no, we don’t roll our own, we don’t have the, budget to invest in infrastructure to do something like that.
57 00:10:46.710 ⇒ 00:10:48.750 Luke Scorziell: What is, I guess…
58 00:10:48.950 ⇒ 00:10:53.259 Luke Scorziell: What is the budget that you’re thinking about when you think of, like, a map… that kind of budget?
59 00:10:54.040 ⇒ 00:10:56.389 IT Department: Anything over 50 grand.
60 00:10:57.050 ⇒ 00:10:57.760 Luke Scorziell: Okay.
61 00:10:58.990 ⇒ 00:11:07.540 Luke Scorziell: Yeah, I mean, it’s… we’ve been able to move really quickly, and not for crazy amounts of money, too, so I’m sure we can.
62 00:11:07.920 ⇒ 00:11:09.409 Luke Scorziell: Work something out there.
63 00:11:11.240 ⇒ 00:11:17.329 Luke Scorziell: But, yeah, so I guess, what stood out from you, or did you get a chance to read through the white paper?
64 00:11:17.470 ⇒ 00:11:19.280 IT Department: No, I didn’t get a chance to read through it.
65 00:11:19.530 ⇒ 00:11:21.449 Luke Scorziell: Okay, well,
66 00:11:21.730 ⇒ 00:11:27.860 Luke Scorziell: with the… so kind of, like, so we had kind of the brief generation and client intelligence, and then also,
67 00:11:28.100 ⇒ 00:11:30.270 Luke Scorziell: The…
68 00:11:31.340 ⇒ 00:11:47.159 Luke Scorziell: Oh, what am I spacing the last one? The knowledge reporting. Yeah, I guess between, like, the different departments that you guys are using, or have as a strategy, kind of the content side,
69 00:11:47.380 ⇒ 00:11:52.290 Luke Scorziell: what… are there… is it connected between, like, how they’re using AI, or…
70 00:11:52.450 ⇒ 00:11:54.370 Luke Scorziell: Yeah, I guess I’m just curious to know.
71 00:11:55.330 ⇒ 00:12:06.939 IT Department: The way that we’re using it is, you know, in multiple use cases. I’d say Copilot is the most cohesive one that we use.
72 00:12:07.160 ⇒ 00:12:11.689 IT Department: Since it’s deeply integrated into, you know, our…
73 00:12:11.800 ⇒ 00:12:16.939 IT Department: SharePoint sites, Teams, meetings, email, gives us a lot of insight there.
74 00:12:17.370 ⇒ 00:12:23.210 IT Department: It’s also one of the ones that’s been, recommended to us by our parent company, Inocean.
75 00:12:24.900 ⇒ 00:12:29.049 IT Department: So, that’s probably the most widely used across the board.
76 00:12:29.580 ⇒ 00:12:31.850 Luke Scorziell: Yeah, and when you’re thinking about…
77 00:12:32.420 ⇒ 00:12:37.420 Luke Scorziell: conversations like this, what is… what are you hoping for out of AI? .
78 00:12:39.020 ⇒ 00:12:44.599 IT Department: You know, just looking to see what else is out there, and trying to keep an open mind.
79 00:12:45.140 ⇒ 00:12:48.719 Luke Scorziell: Yeah, yeah, no, that makes sense.
80 00:12:49.570 ⇒ 00:12:55.769 Pranav Narahari: One quick question. How are you guys, like, using Copilot currently? Just as, like, a chat interface?
81 00:12:56.050 ⇒ 00:12:59.490 Pranav Narahari: Is it integrated with any other of your products?
82 00:12:59.860 ⇒ 00:13:08.790 IT Department: Yeah, I mean, it’s fully integrated with our SharePoint sites, Teams, email, calendars, bookings,
83 00:13:09.100 ⇒ 00:13:12.610 IT Department: We have an integration with, Perplexity.
84 00:13:12.740 ⇒ 00:13:28.930 IT Department: So we can do some stuff with it over there. You know, yeah, it’s… we don’t use it for image generation, but we use Adobe Firefly, Crea, Shutterstock, all that for image generation, and video generation.
85 00:13:29.870 ⇒ 00:13:30.580 Pranav Narahari: Gotcha.
86 00:13:35.420 ⇒ 00:13:39.670 IT Department: Yeah, I guess maybe, Pranav, would you want to speak to some of the solution that we’ve built out?
87 00:13:39.670 ⇒ 00:13:41.420 Luke Scorziell: Yeah, totally. In some of these cases.
88 00:13:41.720 ⇒ 00:13:58.149 Pranav Narahari: Yeah, so I kind of asked that question because some of these built-in, like, SaaS tools, you know, there’s ChatGPT a lot of people are using, like, at an enterprise level, Gemini, even Copilot, they have integrations with their suite of products.
89 00:13:58.150 ⇒ 00:14:09.830 Pranav Narahari: pretty well, I would say. But usually at companies, we’re not just dependent on just one of these, like, suite of products. Usually we have, like, some other ones. You mentioned how it’s also integrated with Perplexity, which is…
90 00:14:09.830 ⇒ 00:14:14.489 Pranav Narahari: Great. What we’ve built for a lot of our clients is
91 00:14:14.770 ⇒ 00:14:29.160 Pranav Narahari: products that are integrated within all of their different, like, SaaS tools, basically as connections for added context in, like, that chat interface. That’s one of the few things. You also mentioned image generation, too.
92 00:14:29.270 ⇒ 00:14:41.600 Pranav Narahari: following, like you said, you know, these models and just how they are… how they’re performing can change, like, month to month. There’s later… there’s newer models that end up being cheaper, faster,
93 00:14:41.600 ⇒ 00:14:50.819 Pranav Narahari: more… better reasoning potential, and that is something that we stay up to track on. We have a whole suite of clients, right, that…
94 00:14:50.890 ⇒ 00:15:05.120 Pranav Narahari: we are managing, and we’re all interconnected within the company to just, like, discuss what is, like, the benefits, what are the cons to certain models, so, we’re consistently, like, staying up-to-date on that type of thing.
95 00:15:05.580 ⇒ 00:15:24.859 Pranav Narahari: And so, yeah, like, what we kind of do is more of, like, the custom solution thing. Like, what is your current, toolset that you guys are working with? How can we build on top of it? So, adding all the connections into this custom software that we’re building, and then… so then you just have access to all of the additional context in your chat.
96 00:15:26.590 ⇒ 00:15:27.510 IT Department: Okay.
97 00:15:28.600 ⇒ 00:15:35.100 IT Department: Yeah, I mean, there are a slew of SaaS services that are not connected to Copilot. It’d be great to
98 00:15:35.360 ⇒ 00:15:40.110 IT Department: Be able to find a way to have something that could search through all of our stuff, which sounds.
99 00:15:40.110 ⇒ 00:15:40.520 Pranav Narahari: So we…
100 00:15:40.520 ⇒ 00:15:40.990 IT Department: Yeah, we’ve.
101 00:15:40.990 ⇒ 00:16:00.490 Pranav Narahari: We do have a certain client, right, that is in the e-commerce space, and so we’ve worked with some of those specific tools as well that, you know, like Shopify, Meta Ads, Google Ads, I don’t know if there’s certain ones there that are causing you guys specific issues, but that maybe we have experience with, like, creating connections with, like.
102 00:16:00.610 ⇒ 00:16:05.489 Pranav Narahari: We’ve even built, like, data warehouses, too, to connect to, like, these applications, so…
103 00:16:05.600 ⇒ 00:16:13.170 Pranav Narahari: Yeah, if there’s any, like, specific things that you guys are feeling like, oh, if this was connected with Copilot, it would be great for us, like…
104 00:16:13.280 ⇒ 00:16:14.819 Pranav Narahari: Happy to discuss that more.
105 00:16:15.550 ⇒ 00:16:16.620 IT Department: Yeah,
106 00:16:16.910 ⇒ 00:16:27.540 IT Department: Yeah, for instance, we use, some SaaS services. One is called Kanto. It’s our digital asset management platform. We use another one called FileStage.
107 00:16:27.560 ⇒ 00:16:40.440 IT Department: for routing and getting client feedback on, you know, certain documents and certain work that we need to track. Frame.io, which is part of Adobe.
108 00:16:40.500 ⇒ 00:16:45.920 IT Department: I mean, it would be great if we could somehow connect our Adobe tenant in there as well, it’s…
109 00:16:46.280 ⇒ 00:16:55.519 IT Department: There’s a lot of data that lives in there that is just not searchable at all, and so it can be very frustrating to go digging for something and have to sit there for an hour going through files.
110 00:16:56.050 ⇒ 00:17:00.609 Pranav Narahari: Have you guys done any research into, like, MCP servers, and how that could be helpful?
111 00:17:01.340 ⇒ 00:17:11.129 Pranav Narahari: Okay, so that’s, like, one thing that we’re doing that is really good at querying specific information from these, like, SaaS tools, and…
112 00:17:11.500 ⇒ 00:17:17.769 Pranav Narahari: Like, for example, like, there’s so many metrics that an e-commerce brand might be looking at for…
113 00:17:17.950 ⇒ 00:17:32.300 Pranav Narahari: that’s within a Shopify dashboard, and sometimes, like, the APIs in and of themselves, like, it’s not as easy to retrieve that data, but with an MCP server, you can just use natural language to pull that specific information.
114 00:17:32.470 ⇒ 00:17:37.960 Pranav Narahari: And… we’ve done a ton of stuff with that.
115 00:17:38.390 ⇒ 00:17:53.110 Pranav Narahari: And so, yeah, MCP servers, Luke, like, you know, like, we’ve worked with, quite a few other clients building those type of things, so… seems like it could be interesting building those on top of the SaaS tools that aren’t already integrated directly with…
116 00:17:53.310 ⇒ 00:17:54.670 Pranav Narahari: co-pilot.
117 00:17:54.820 ⇒ 00:18:01.050 IT Department: So would you do, like, an MCP server per SaaS service, or one that could search them all, or how would that go?
118 00:18:01.330 ⇒ 00:18:05.529 Pranav Narahari: Yeah, you would… how it works usually is you do own per service, and then…
119 00:18:05.640 ⇒ 00:18:17.030 Pranav Narahari: for the chat interface itself, like, say you want to have certain people to have access to certain SASs, certain people not to, maybe also different levels of…
120 00:18:17.030 ⇒ 00:18:25.659 Pranav Narahari: transparency with the data within that SaaS tool, all that stuff can be configured. Usually how it works is you’ll have
121 00:18:25.850 ⇒ 00:18:38.029 Pranav Narahari: You can even do this on a knowledge base level, but then you’ll even have these, like, connections, and then you can toggle them on and off for what are available to you, and then just not have them visible based on whatever.
122 00:18:38.030 ⇒ 00:18:41.780 IT Department: Like, role permission you give that user on the platform.
123 00:18:42.000 ⇒ 00:18:43.240 IT Department: Yeah, that’s interesting.
124 00:18:45.180 ⇒ 00:19:01.570 IT Department: Yeah, and could it be used for, like, a traditional file server? Like, we have some archive file servers that don’t get access very often. Would it be possible to map those into an MCP server so that they’re searchable as well?
125 00:19:02.370 ⇒ 00:19:09.470 Pranav Narahari: So… Yeah, so you basically have, like, directories of a bunch of different, like, files, whether.
126 00:19:09.470 ⇒ 00:19:09.860 IT Department: Right.
127 00:19:09.860 ⇒ 00:19:21.510 Pranav Narahari: whatever format. Yeah, so I would say if you guys are owning that data, like, you guys own that database, let’s say, and that database could just be a whole folder of files.
128 00:19:21.750 ⇒ 00:19:29.179 Pranav Narahari: We would do something similar to MCP. It’s basically a RAG system. Are you familiar with that at all?
129 00:19:29.560 ⇒ 00:19:30.320 IT Department: No, no.
130 00:19:30.320 ⇒ 00:19:49.040 Pranav Narahari: Okay, yeah, so basically, it’s just a better way of querying your data, within a chat interface. So very similar in terms of, like, use case by the user of the chat, but the backend would be a little bit different, but we have a ton of experience with that as well.
131 00:19:49.250 ⇒ 00:19:50.610 IT Department: Okay, well, oh.
132 00:19:50.850 ⇒ 00:19:51.819 IT Department: Good to know.
133 00:19:55.600 ⇒ 00:19:56.370 Pranav Narahari: Cool.
134 00:19:57.310 ⇒ 00:19:59.600 IT Department: That’s very insightful. Thanks, Princess.
135 00:19:59.850 ⇒ 00:20:05.299 Pranav Narahari: Yeah, totally. And Luke, it’s kind of what we were talking about with, like, the knowledge base stuff, like, this is what we’re doing, like, for a bunch of clients.
136 00:20:05.570 ⇒ 00:20:06.660 Luke Scorziell: Yeah.
137 00:20:06.950 ⇒ 00:20:11.999 Luke Scorziell: Yeah, this is why, yeah, Pranav is great to bring on these calls, because I’m…
138 00:20:12.000 ⇒ 00:20:15.020 Pranav Narahari: Get into the weeds a little bit, right?
139 00:20:15.020 ⇒ 00:20:22.380 Luke Scorziell: I’m more of the… I’m more of the non-technical user that would be using the solutions that we build out, and… and then I…
140 00:20:22.930 ⇒ 00:20:29.830 Luke Scorziell: I was running then a small agency that I was doing before, starting at Brainforge, so I think that’s kind of where, like, the passion for getting to
141 00:20:29.960 ⇒ 00:20:34.039 Luke Scorziell: help out in the agency space-wise for me, just because I know that it’s, like.
142 00:20:34.830 ⇒ 00:20:40.769 Luke Scorziell: Yeah, I mean, AI is moving quickly, and, like… It really is, yeah. Yeah, there’s so many different…
143 00:20:41.250 ⇒ 00:20:47.450 Luke Scorziell: Like, you build something one day, or sign on to a solution one day, and then the next day, you know, there’s something else that’s…
144 00:20:47.950 ⇒ 00:20:52.620 Luke Scorziell: supposedly a lot better, and I think that’s one of the advantages, like Pranav said, of working with Brainforge, is that
145 00:20:53.070 ⇒ 00:21:00.070 Luke Scorziell: Like, this is… this is what we’re doing 24-7, and we have… A team of data…
146 00:21:00.230 ⇒ 00:21:04.840 Luke Scorziell: Data engineers, is kind of, like, the foundation of what we do, and
147 00:21:05.400 ⇒ 00:21:07.660 Luke Scorziell: That’s been great, because it helps with, like.
148 00:21:07.840 ⇒ 00:21:14.219 Luke Scorziell: just making sure that the data is structured and safe and secure, and then bringing the AI to that
149 00:21:14.410 ⇒ 00:21:17.740 Luke Scorziell: Data so that we can build,
150 00:21:17.860 ⇒ 00:21:25.780 Luke Scorziell: Yeah, custom solutions. So then we have the data team, and then an AI team, that kind of works then to build, like, whatever it would look like. So that’s kind of…
151 00:21:26.210 ⇒ 00:21:32.030 Luke Scorziell: Exciting, too, because it’s, like, Just, we would get to dive into.
152 00:21:33.020 ⇒ 00:21:35.800 Luke Scorziell: Like, your specific use cases, needs, and
153 00:21:36.000 ⇒ 00:21:42.450 Luke Scorziell: And then see, like, how we can speed things up, and then empower more of the… like, your team to focus on
154 00:21:42.800 ⇒ 00:21:52.390 Luke Scorziell: like, high-impact work versus, you know, I think a lot of the going back and forth between tools can be really redundant.
155 00:21:52.390 ⇒ 00:21:53.449 IT Department: It picks up.
156 00:21:53.450 ⇒ 00:21:55.339 Luke Scorziell: Yeah, more time than we’d like to admit.
157 00:21:55.580 ⇒ 00:21:57.149 IT Department: Yeah, yeah, definitely.
158 00:21:59.110 ⇒ 00:22:04.209 Luke Scorziell: Yeah, well, would you be interested in seeing, like, that we could try to build something
159 00:22:05.030 ⇒ 00:22:07.999 Luke Scorziell: Like, a little demo specific to you, or what would be a…
160 00:22:08.000 ⇒ 00:22:15.620 IT Department: I mean, if you just had a general purpose demo to… I think I sort of get the idea, you know, Pranav did a good job explaining.
161 00:22:15.720 ⇒ 00:22:26.770 IT Department: I just want to see what… what does that interface look like? How do you interact with something like that? How does it integrate into, you know, what we already have available to us?
162 00:22:26.910 ⇒ 00:22:29.960 IT Department: Those are my questions I have, sort of, left.
163 00:22:31.030 ⇒ 00:22:31.610 Luke Scorziell: Yeah.
164 00:22:36.550 ⇒ 00:22:41.070 Luke Scorziell: Pranav, is that… No, we kind of had that…
165 00:22:42.220 ⇒ 00:22:55.609 Pranav Narahari: Yeah, so the idea of, like, showing kind of, like… I kind of talked about it a little bit, like, the MCP servers, but then also the element of, like, okay, if you own your data, how can we query that as well? Yeah. Yeah, that’s something…
166 00:22:55.630 ⇒ 00:23:04.039 Pranav Narahari: Luke, should we… we can make a curated demo later, or we can kind of do, like, a high level of that now? Up to you, what do you think is the best way going forward?
167 00:23:05.580 ⇒ 00:23:16.139 Luke Scorziell: I mean, I think it’s, yeah, kind of, Josh, if you’d like to see us do, like, just a general overview, I think, obviously, Pranavi wouldn’t want to show anything that’s, like.
168 00:23:16.650 ⇒ 00:23:25.409 IT Department: I mean, a general overview is fine. I don’t know if I have time for it now. We got about 7 minutes left, and I have a 10.30 that I have to jump to.
169 00:23:25.410 ⇒ 00:23:32.429 Luke Scorziell: Yeah, well, why don’t… we could set up a meeting, if you’re open to it, next week, and we can just…
170 00:23:32.670 ⇒ 00:23:39.510 Luke Scorziell: build something, like, it doesn’t need to be, like, super in-the-weeds custom, but it’d be cool to show you what we can do, and kind of give you…
171 00:23:39.510 ⇒ 00:23:55.919 IT Department: I just want to see what it looks like, you know, what is the experience? If we were to do something like that internally, you know, how I’d have to run through, like, how would I pitch this to our users, get them to use it? You know, because even great ideas.
172 00:23:56.160 ⇒ 00:23:59.430 IT Department: fall by the wayside if no one uses it, you know, so…
173 00:23:59.460 ⇒ 00:24:02.500 Luke Scorziell: Yeah. Well, what are you most concerned about when it comes to…
174 00:24:02.760 ⇒ 00:24:08.660 Luke Scorziell: like, to your people using it, is it like, oh, I’m not technical, like, this is too much for me, or kind of the AI.
175 00:24:08.660 ⇒ 00:24:13.110 IT Department: No, I… it just needs to feel very natural, you know?
176 00:24:13.870 ⇒ 00:24:23.890 IT Department: The biggest challenge is when I’m sending people to a new site, they’re using a new service, they don’t understand how it connects to, you know, what we’re already doing.
177 00:24:23.890 ⇒ 00:24:43.010 IT Department: And those tend to fall off very quickly, which doesn’t really make it worth it for us. It would be useful if there was some way to integrate it into what we’re already doing, something that felt very natural to them, an easy way to access it, an easy way to talk with it.
178 00:24:43.040 ⇒ 00:24:44.990 IT Department: And get the information that they need.
179 00:24:45.480 ⇒ 00:24:50.079 Luke Scorziell: Yeah, I mean, the cool thing that I find with a lot of this stuff is, like.
180 00:24:50.540 ⇒ 00:24:56.960 Luke Scorziell: it’s just, like, a substitution for ChatGPT in a lot of ways, and…
181 00:24:57.250 ⇒ 00:25:05.079 Luke Scorziell: Obviously, we can build, like, custom interfaces and whatnot, but we could essentially give you, like, a David and Goliath-branded, like.
182 00:25:05.300 ⇒ 00:25:09.280 Luke Scorziell: AI chatbot that users can,
183 00:25:10.060 ⇒ 00:25:17.970 Luke Scorziell: like, has specific client hubs that you can speak to, and it’s, again, only built on your data, and so that’s the thing
184 00:25:18.760 ⇒ 00:25:27.479 Luke Scorziell: And then the, like, I use… again, I’m non-technical, come from more of a creative background. Like, I’m using these tools all the time for me to ask, like.
185 00:25:27.650 ⇒ 00:25:30.000 Luke Scorziell: You can… like, we have,
186 00:25:30.600 ⇒ 00:25:49.879 Luke Scorziell: knowledge… a knowledge base filled with, like, different files, so instead of having to retype every time I go into ChatGBT, like, this is the client that I’m working on, and this is their brand guidelines, and the product positioning, I can just say, hey, reference this document, and then it will pull all the information from that.
187 00:25:50.130 ⇒ 00:25:51.510 Luke Scorziell: And then
188 00:25:51.850 ⇒ 00:26:02.629 Luke Scorziell: every time I want to query that document, I don’t have to rebuild, a prompt. And so, even that alone, I’m finding as a non-technical user, has been, like.
189 00:26:03.790 ⇒ 00:26:08.730 Luke Scorziell: just leaps and bounds better than ChatGPT, and I, like, want to use it.
190 00:26:08.890 ⇒ 00:26:09.640 Luke Scorziell: So…
191 00:26:10.180 ⇒ 00:26:26.559 IT Department: Yeah, I mean, that’s not too different from, you know, sort of the way that Copilot works, it just… Copilot doesn’t have access to all of our data everywhere that it lives, and so having something at a higher level, and maybe brand agnostic, even, is way better for us.
192 00:26:26.970 ⇒ 00:26:31.639 Luke Scorziell: Yeah. Well, what would be… is this same time next week a good time for you, or…
193 00:26:31.640 ⇒ 00:26:32.800 IT Department: Yeah, this is fun.
194 00:26:33.350 ⇒ 00:26:36.310 Luke Scorziell: Well, okay, I can just send another invite then.
195 00:26:37.200 ⇒ 00:26:43.030 Luke Scorziell: Yeah, no, excited to get to see, I mean, David and Goliath is a super awesome agency, too, so I’d be…
196 00:26:43.190 ⇒ 00:26:45.040 Luke Scorziell: It’d be really fun to get to work with you guys.
197 00:26:45.040 ⇒ 00:26:45.830 IT Department: Yeah.
198 00:26:46.370 ⇒ 00:26:51.239 IT Department: Well, I appreciate it. Yeah. I’ll look for that calendar invite for, for next week.
199 00:26:51.600 ⇒ 00:26:53.510 Luke Scorziell: Cool. Cool. Alright.
200 00:26:53.510 ⇒ 00:26:53.960 IT Department: Thanks.
201 00:26:53.960 ⇒ 00:26:54.720 Luke Scorziell: Thanks so much, Josh.
202 00:26:55.370 ⇒ 00:26:55.890 Pranav Narahari: Yes.
203 00:26:56.200 ⇒ 00:26:56.890 Luke Scorziell: Bye.
204 00:26:57.830 ⇒ 00:26:59.489 Luke Scorziell: Here, let’s huddle after.